Azure DevOps Expert Exam Dumps and AZ-400 Braindumps

Your team stores container images in GitLab and follows Semantic Versioning for release tags. A service called ServiceX is currently tagged as 12.4.0. You apply a bug fix that corrects an issue which originally appeared in version 9.7.3. Which version tag should you assign to the new release?

• ❏ A. 9.7.3-PATCH

• ❏ B. 12.4.1

• ❏ C. 12.5.0

• ❏ D. 9.7.4

You manage an Azure subscription that contains an Azure Pipelines pipeline named BuildPipeline2 and a user named DevUser2. BuildPipeline2 builds and validates a service named ServiceX. DevUser2 currently has the Contributors role scoped to the pipeline. You plan to validate ServiceX using an Azure Deployment Environments environment and you must allow DevUser2 to create and provision that environment while following the principle of least privilege. Which role should you assign to DevUser2?

• ❏ A. Contributors

• ❏ B. Build Administrators

• ❏ C. Deployment Environments User

• ❏ D. DevCenter Project Admin

How can Contoso run an HTTP availability check every three minutes against its globally accessible ASP.NET Core web application hosted in Azure and configure alerts when the application is unreachable from selected Azure regions while keeping development effort to a minimum?

• ❏ A. Azure Front Door health probes

• ❏ B. Create an Azure Service Health alert for the chosen regions

• ❏ C. Use an Application Insights availability test with alerting

• ❏ D. Deploy a custom Azure Function in each region to perform scheduled pings and generate alerts

A technology consultancy named CloudRun is configuring Azure Artifacts and has created multiple feeds. Two security groups are defined and TeamBrowse must be able to list and install packages from a feed while TeamPublish must be able to push packages to the feed. You need to assign the minimum permissions required to each group. Which permission should be granted to TeamPublish?

• ❏ A. Reader

• ❏ B. Owner

• ❏ C. Contributor

• ❏ D. Collaborator

You manage a repository in Azure DevOps called ProjectZeta and it hosts a published wiki. You want to rearrange the page sequence shown in the wiki navigation bar in the Azure DevOps web interface. How do you proceed?

• ❏ A. Add a file named home.md at the root of the wiki that declares the page structure

• ❏ B. Drag and drop the pages directly in the wiki navigation pane

• ❏ C. Create a hidden .ordering file at the wiki root that lists pages in the desired sequence

• ❏ D. Rename pages to include numeric prefixes so the navigation sorts them alphabetically

These items are part of a series that examine different proposed solutions. You are configuring a new Git repository in Azure Repos for HarborTech. You need to guarantee that code in a branch is compiled successfully before a pull request can be merged. The suggested solution is to set up a check in policy. Does this approach meet the requirement?

• ❏ A. Yes

• ❏ B. No

You use Azure Pipelines to build and test a React application for a startup named NorthPoint Labs and the pipeline has a single job. You notice that installing npm packages takes about three minutes each time the pipeline runs. You suggest using pipeline artifacts to speed up the pipeline. Does this meet the goal?

• ❏ A. No

• ❏ B. Yes

Your subscription contains a web application named WebAppA and a DevOps project that has two deployment environments named Preproduction and Live. Azure Pipelines performs the deployments for WebAppA. You need to verify WebAppA performance in the Preproduction environment before promoting the deployment to Live and you must keep administrative work to a minimum. What change should you make in the DevOps project?

• ❏ A. Configure a check in the Live environment to query Azure Monitor Alerts for active alerts

• ❏ B. Require a post deployment manual approval in the Live stage by the Azure Monitor Alerts group

• ❏ C. Add a validation check in the Preproduction environment that queries Azure Monitor Alerts for active alerts

• ❏ D. Add a branch policy status check that queries Azure Monitor Alerts for active alerts

You manage an Azure DevOps project named ProjectAlpha that builds tests and deploys a service called ServiceX using an Azure Pipelines workflow. You have a credential named svcCred that must be available to deploy ServiceX to production and it must only be usable by specific users and pipelines within ProjectAlpha. What should you do?

• ❏ A. Reference svcCred from an Azure Key Vault by creating a service connection to the vault

• ❏ B. Upload svcCred as a secure file in the Pipelines secure files library

• ❏ C. Store svcCred as a secret in a variable group

• ❏ D. Configure a deployment gate for ServiceX production releases

You manage a CI CD project for SolaceTech and you must stop release deployments unless they meet the Azure Policies that are assigned to your Azure subscription. Which mechanism should you configure to enforce that compliance?

• ❏ A. A deployment trigger

• ❏ B. A pipeline variable

• ❏ C. A deployment approval

• ❏ D. A deployment gate

A delivery team tracks tasks in Azure Boards and keeps the code in GitHub for a consultancy at example.com You have three work items with IDs 932 933 and 934 You need to create a pull request that links to all three work items and you must ensure work item 932 moves to Done when the pull request is completed What commit message should you add?

• ❏ A. #932, #933, #934

• ❏ B. Fixes AB#932, AB#933, AB#934

• ❏ C. Closes AB#932 AB#933 AB#934

• ❏ D. Fixes #932, #933, #934

• ❏ E. Completed #932

All Azure questions come from my AZ-400 Udemy course and certificationexams.pro

A development group at Skyline Apps is creating a new project inside Azure DevOps and they need to measure the length of time it takes to finish an individual work item from when active work begins until it is completed. Which DevOps KPI indicates that duration?

• ❏ A. Lead time

• ❏ B. Throughput

• ❏ C. Application failure rates

• ❏ D. Cycle time

• ❏ E. Burndown trend

• ❏ F. Deployment speed

• ❏ G. Defect escape rate

• ❏ H. Mean time to recover

Note This question is part of a series that presents the same scenario. Your team manages an Azure DevOps organization named Fabrikam and an Azure subscription. The subscription contains a virtual machine scale set named WebScale01 that is configured for autoscaling. You have an Azure DevOps project named ProjectAlpha that builds a web application called WebAppA and deploys the application to WebScale01. You must ensure that an email message is sent each time WebScale01 scales in or scales out. The proposed solution is to configure Service hooks for ProjectAlpha in Azure DevOps. Will this approach satisfy the requirement?

• ❏ A. Create an Azure Monitor alert and an action group to send an email

• ❏ B. Yes configure Service hooks for ProjectAlpha in Azure DevOps

• ❏ C. No

• ❏ D. Use an Azure Logic App to respond to VMSS activity log entries and send email

A platform team at Nimbus Digital uses an Azure Pipelines definition to build and publish UI code. They require that the pipeline only runs when files change under the /frontend folder and only when a pull request is created. The pipeline is configured with the following snippet pr paths include /frontend branches *. Does this configuration meet the requirements?

• ❏ A. No

• ❏ B. Yes

Your organization manages an Azure Active Directory tenant that contains three security groups named TeamAlpha TeamBeta and TeamGamma. You create a new Azure DevOps project named DeploymentCenter. You must lock down the project service connections so that members of TeamAlpha can share and unshare connections with other projects and members of TeamBeta can rename connections and change their descriptions while members of TeamGamma need to be able to consume the connections in build and release pipelines. You must follow least privilege principles. Which permission should you assign to TeamGamma?

• ❏ A. Organization-level Administrator

• ❏ B. Contributor

• ❏ C. User

• ❏ D. Project-level Administrator

• ❏ E. Creator

A small software firm called Bluestack uses Azure Pipelines to run unit tests and they must ensure the pipeline fails when tests fail and that test results are published for every run even if a run is canceled. The pipeline YAML contains a task PublishTestResults@2 displayName ‘Publish Integration Test Results’ condition always() inputs testResultsFormat ‘JUnit’ testResultsFiles ‘**/unit-results.xml’ failTaskOnMissingResultsFile true testRunTitle ‘Service Tests’. Does this configuration satisfy the requirements?

• ❏ A. PublishTestResults@2 with condition succeededOrFailed()

• ❏ B. Yes

• ❏ C. No

AuroraApps has formed a small engineering squad to develop a new application. The team must store their source code in a version control system and developers need to be able to work while disconnected and still access the full project history on their workstations. Which version control tool best meets these requirements?

• ❏ A. Google Cloud Source Repositories

• ❏ B. Subversion

• ❏ C. Git

This item belongs to a set of problems that use the same scenario. You manage an Azure DevOps organization named BlueYonder and an Azure subscription. The subscription contains an Azure virtual machine scale set named VMSSProd that is configured to autoscale. You have an Azure DevOps project named DevProject. DevProject builds a web application called WebApp and deploys WebApp to VMSSProd. You need to ensure that an email alert is generated whenever VMSSProd scales in or out. The solution is to configure the autoscale settings in Azure Monitor. Does this meet the requirement?

• ❏ A. No

• ❏ B. Yes

A financial technology startup named HarborTech uses an Azure Pipelines workflow to build and deploy a service called ServiceX. The build stage runs on a Microsoft-hosted Windows agent. The build occasionally fails due to a timeout. You need to ensure the build finishes reliably while keeping administrative overhead low. What should you do?

• ❏ A. Switch the pipeline to a Microsoft-hosted Linux agent

• ❏ B. Increase the pipeline job timeout setting in the YAML

• ❏ C. Stand up a self-hosted agent pool

• ❏ D. Purchase additional Microsoft-hosted parallel jobs

A delivery team at Northbridge Software is configuring dashboard metrics in Azure DevOps and they want a chart that shows how long a work item takes to complete after it moves into an active state. Which widget provides that measurement?

• ❏ A. Burndown

• ❏ B. Cumulative Flow Diagram

• ❏ C. Cycle time

• ❏ D. Lead time

All Azure questions come from my AZ-400 Udemy course and certificationexams.pro

A development team is building a .NET service in Azure DevOps and depends on a NuGet package hosted in a private feed that requires credentials. You must enable noninteractive restoration of the package during continuous integration builds. What should the build pipeline use to automate authentication?

• ❏ A. A personal access token

• ❏ B. An Azure Automation account

• ❏ C. Azure Artifacts Credential Provider

• ❏ D. A service principal in Microsoft Entra ID

A cloud engineering team at NovaApps is replacing its current task tracking platform Asana as part of a migration to Azure DevOps. Which Azure service should be used to replace Asana for Kanban boards backlog management and team work tracking?

• ❏ A. GitHub Actions

• ❏ B. Azure Artifacts

• ❏ C. GitHub repositories

• ❏ D. Azure Test Plans

• ❏ E. Azure Boards

• ❏ F. Azure Pipelines

Orion Logistics currently uses Asana Atlassian Bamboo and GitLab and plans to standardize on Azure DevOps for its toolchain. Which Azure DevOps service would act as the replacement for Atlassian Bamboo?

• ❏ A. Azure Repos

• ❏ B. Azure Test Plans

• ❏ C. Azure Pipelines

• ❏ D. Azure Boards

A small software firm called Meridian Labs has just provisioned an Azure tenant and subscription and they plan to deploy multiple cloud resources. They want to consolidate resource diagnostic and activity logs into a single location and run queries against that data. Which Azure service can be used to store resource logs for querying?

• ❏ A. Azure Storage Account

• ❏ B. Azure Event Hubs

• ❏ C. Azure Log Analytics workspace

A development team at NovaTech plans to have Azure DevOps pipelines notify an external monitoring service after successful deployments by sending a confidential API key. Which secret storage option will allow this with the least modifications to the existing pipelines?

• ❏ A. Variable group in Azure DevOps linked to Key Vault

• ❏ B. Azure Pipelines variable marked as secret

• ❏ C. Secret stored in Azure Key Vault

A development group at Meridian Tech uses Azure Repos for source control and Azure Pipelines for continuous integration and continuous delivery. They want to ensure that no pull request with unresolved comments can be merged and they prefer a solution that reduces ongoing administrative overhead. What should they implement?

• ❏ A. Pre deployment gate

• ❏ B. Custom pipeline extension

• ❏ C. Branch policy

• ❏ D. Post deployment gate

Review the Mapleview Financial case study and satisfy the technical monitoring requirements for PortalApp1. Which tool should you choose to capture detailed application performance data and page load times?

• ❏ A. Azure Advisor

• ❏ B. Splunk

• ❏ C. App Service logs

• ❏ D. Azure Application Insights

NimbusTech runs two Linux servers in an external cloud provider and plans to use Azure Automation State Configuration to manage them and detect configuration drift. You installed PowerShell Desired State Configuration on the servers and executed register_agent.py. What three steps should you perform next in the correct order?

• ❏ A. Apply the Local Configuration Manager on the servers by running setdsclocalconfigurationmanager.py then author the DSC metaconfiguration then copy the metaconfiguration to the servers

• ❏ B. Create the DSC metaconfiguration then copy the metaconfiguration to the servers then from each server run setdsclocalconfigurationmanager.py

• ❏ C. Copy the metaconfiguration to the servers then run setdsclocalconfigurationmanager.py then author the DSC metaconfiguration

• ❏ D. Install Open Management Infrastructure and the Linux DSC components on the servers then create the DSC metaconfiguration then add the servers as DSC nodes in Azure Automation

In the Novatech Systems case study referenced in the provided materials where should the release agents for the investment planning application suite be executed?

• ❏ A. Developers’ workstations

• ❏ B. Source control repository

• ❏ C. A hosted service

You operate a monitoring service named BeaconSvc that writes telemetry into a workspace called HubAlpha which contains two tables named Traces and Events and you need to retrieve Traces related to Asia from the past 48 hours which order should you arrange the following query fragments Traces | where timestamp > ago(48h) | join (Events | where continent == ‘Asia’) on RequestID?

• ❏ A. join (Events | where continent == ‘Asia’) on RequestID | Traces | where timestamp > ago(48h)

• ❏ B. Traces | where timestamp > ago(48h) | join (Events | where continent == ‘Asia’) on RequestID

• ❏ C. Events | where continent == ‘Asia’ | join (Traces | where timestamp > ago(48h)) on RequestID

• ❏ D. Traces | join (Events) on RequestID | where timestamp > ago(48h) | where continent == ‘Asia’

• ❏ E. Traces | where continent == ‘Asia’ | where timestamp > ago(48h) | join Events on RequestID

A technology firm named NovaApps has an Azure subscription called SubscriptionB2 that contains a custom policy named NamingAuditPolicy. NamingAuditPolicy is configured as an audit policy that checks whether resource names follow the required conventions in SubscriptionB2. You maintain a release pipeline called DeployPipeline2 in Azure Pipelines that deploys Azure Resource Manager templates into SubscriptionB2. You need to ensure that resources deployed by DeployPipeline2 are verified against NamingAuditPolicy. What should you add to DeployPipeline2?

• ❏ A. Add a pre deployment task that performs a security and compliance assessment

• ❏ B. Add a pipeline task that assigns NamingAuditPolicy to SubscriptionB2 using Azure CLI

• ❏ C. Add a post deployment task that performs a security and compliance assessment

A release engineering group runs continuous integration and delivery using Azure DevOps and all of their infrastructure is hosted in the Microsoft Azure cloud. They need to create a service connection so Azure DevOps can retrieve secrets from an Azure Key Vault and they must avoid storing credentials or tokens inside Azure DevOps. Which service connection type should they set up?

• ❏ A. Generic service

• ❏ B. Team Foundation Server / Azure Pipelines service connection

• ❏ C. Azure Resource Manager

A development group at NimbusSoft plans a GitHub Actions workflow that requires a 300 KB secret. The secret must be available only to that workflow and you want to keep administrative effort to a minimum. What storage and encryption approach should you recommend?

• ❏ A. Store the secret in organization level GitHub secrets

• ❏ B. Save the encrypted secret blob inside the repository and store the decryption passphrase in repository level GitHub secrets

• ❏ C. Google Secret Manager

• ❏ D. Save the encrypted secret in the repository and store the decryption passphrase in organization level GitHub secrets

Review the Lakeshore Savings case study at https://example.com/doc/alpha and then configure an Azure DevOps dashboard to meet the technical constraints. Which widget should present Metric 2?

• ❏ A. Cumulative flow diagram

• ❏ B. Release pipeline overview

• ❏ C. Velocity

• ❏ D. Query results

• ❏ E. Sprint burndown

• ❏ F. Build pipeline overview

A development group hosts code in a Git repository. The build pipeline must run for every commit except when the change is confined to the folder named /assets in the repository. How should the branch or path filters be set to achieve this?

• ❏ A. Use a path filter that includes /assets/*

• ❏ B. Use a branch filter that excludes /assets/*

• ❏ C. Use a path filter that excludes /assets/*

• ❏ D. Use a branch filter that includes /assets/*

AuroraPay uses Azure SQL Database Intelligent Insights together with Azure Application Insights to monitor its services and you plan to perform ad-hoc inspections of the telemetry by writing queries in Transact-SQL. Does that approach satisfy the monitoring analysis requirement?

• ❏ A. No

• ❏ B. Yes

You maintain a GitHub repository that is linked to Azure Boards and there is a work item numbered 892. You want commits to automatically associate with that work item when developers push code. What should be included in the commit message to trigger the automatic linking?

• ❏ A. Fixes #892

• ❏ B. the work item URL

• ❏ C. AB#892

• ❏ D. @892

A small online retailer named HarborByte uses Azure Pipelines to deploy an App Service called ShopFront42. The team has an Azure Monitor alert that fires when ShopFront42 records an exception. They need the alert to forward the error details to an external support system with minimal ongoing administration. What sequence of steps should they perform?

• ❏ A. Provision an Event Hub, select the Sliding Window trigger and then connect the Event Hub to the Monitor action group

• ❏ B. Create a Logic App, add an HTTP Request trigger and then update the Azure Monitor action group

• ❏ C. Set up a Recurrence trigger, attach the workflow to the action group and forward events via Event Hubs

• ❏ D. Create a Logic App with a Sliding Window trigger and then link that Logic App to the Monitor action group

• ❏ E. Deploy an Event Grid subscription, create an Event Hub and then route the subscription output to the action group

A development team at Nimbus Software operates several App Service web applications and Azure Functions in its subscription and they want to review security guidance for those web apps and serverless functions by opening the Compute and Apps section in the portal. Which service should they open to view those Compute and Apps security recommendations?

• ❏ A. Azure Advisor

• ❏ B. Azure Monitor

• ❏ C. Microsoft Defender for Cloud

• ❏ D. Azure Log Analytics

Your development group uses Azure DevOps pipelines to compile and deliver software for a payments startup at example.com. You need to quantify and contrast the time spent debugging problems found during the build and test cycle with the time spent addressing problems discovered after the release. Which key performance indicator best represents this comparison?

• ❏ A. Rework rate

• ❏ B. Defect escape rate

• ❏ C. Mean time to repair

• ❏ D. Unplanned work rate

At BrightCloud the release team uses Azure DevOps for their CI and CD pipelines and they must enable verbose logging by adding a pipeline variable. How should they configure the “Name” variable to turn on detailed logging?

• ❏ A. System.Log

• ❏ B. Debug

• ❏ C. System.Debug

• ❏ D. Log

You manage an Azure Repos Git repository named devrepo in a Contoso DevOps project and you need to enable SSH access for devrepo. Which four steps from the list below should you perform in the correct order? 1 Sign in to the Azure DevOps organization 2 Upload your SSH public key to your user profile 3 Clone devrepo using the SSH URL 4 Commit an SSH key file into the root of devrepo 5 Add your SSH private key into the project settings 6 Generate a local SSH key pair with ssh-keygen? (Choose 2)

• ❏ A. 3 then 6 then 2 then 1

• ❏ B. 1 then 2 then 6 then 3

• ❏ C. 2 then 1 then 6 then 3

• ❏ D. 1 then 6 then 2 then 3

• ❏ E. 6 then 1 then 2 then 3

Your team at Northbridge Software is setting up an Azure DevOps project to manage engineering work items. You need a process template that supports detailed requirements, formal change requests, risk records, and review tracking for compliance. Which process template should you choose?

• ❏ A. Agile

• ❏ B. CMMI process template

• ❏ C. Basic

• ❏ D. Scrum

A small SaaS company called Nimbus Labs deploys an App Service web application through Azure Pipelines and the operations team must be able to revert to the immediately prior release if a production deployment introduces a fault while keeping outage time to a minimum and making rollback actions very fast?

• ❏ A. Two App Service instances behind an Azure Traffic Manager profile

• ❏ B. A single App Service with a production slot and a staging slot

• ❏ C. Two separate web apps with an Azure Standard Load Balancer

• ❏ D. One web app managed by two independent release pipelines

All Azure questions come from my AZ-400 Udemy course and certificationexams.pro

Canyon Systems runs an Azure DevOps instance that only accepts sign ins from Azure Active Directory accounts and you have been asked to ensure that the instance can be accessed only from devices on the company campus network. Which action should you take?

• ❏ A. Create a Group Policy Object and apply it to domain joined computers

• ❏ B. Assign devices to an Azure Active Directory device group

• ❏ C. Enforce conditional access policies in Azure Active Directory

• ❏ D. Adjust project level security settings inside the Azure DevOps project settings

Your development team stores code in GitHub and uses Microsoft Teams for collaboration. You need each commit to generate a notification posted to a specific Teams channel and you must minimize custom coding and ongoing maintenance. What approach should you take?

• ❏ A. Deploy an Azure Function to poll the GitHub API and post commit messages to the Teams channel

• ❏ B. Use Microsoft Power Automate to subscribe to GitHub events and forward commit notifications to the Teams channel

• ❏ C. Install the Microsoft Teams app for GitHub and configure a repository subscription to send commit alerts to the channel

• ❏ D. Create a GitHub Actions workflow that calls the Teams API to send messages when commits are pushed

A continuous integration pipeline for example.com is defined in YAML with four jobs named Compile, Integration, Audit and Release. Compile has no dependencies declared and Integration has an empty dependsOn attribute which means it has no dependencies either. Audit also has an empty dependsOn attribute and Release depends on Audit. Can Integration run at the same time as Compile?

• ❏ A. No

• ❏ B. Yes

You are preparing to register a self hosted Linux build agent for Contoso DevOps Server in an environment where the server and the agent machine are not in the same trusted domain. Which authentication method should you use to register the self hosted agent?

• ❏ A. Alternate credentials

• ❏ B. SSH key pair

• ❏ C. Personal access token (PAT)

• ❏ D. Client certificate

A technology firm named Meridian Labs is moving from Trello Atlassian Bamboo and Atlassian Bitbucket to Azure DevOps and the team needs to map existing tools to Azure DevOps services. Which Azure DevOps service serves as the equivalent of Trello?

• ❏ A. Azure Pipelines

• ❏ B. Azure Test Plans

• ❏ C. Azure Boards

• ❏ D. Azure Repos

A regional fintech called Solara Labs uses an Azure DevOps account with a single project and they need to assign a group permission to interact with agent pools and see agents at the organization level while following least privilege principles. Which built in role should be assigned to meet this need?

• ❏ A. Project Contributor

• ❏ B. Administrator

• ❏ C. Reader

The correct option is 12.4.1.

You follow Semantic Versioning so only bug fixes require a patch increment while the major and minor numbers stay the same. The service is currently at 12.4.0 so applying a bug fix produces a patch bump to 12.4.1.

9.7.3-PATCH is incorrect because it references an older version and adds a nonstandard suffix instead of releasing the appropriate patch on the current 12.4.x line. Tags should reflect the current release line and follow semver conventions.

12.5.0 is incorrect because a minor version increase implies new backward compatible functionality and not a simple bug fix. Incrementing the minor number would be misleading for a release that only fixes a bug.

9.7.4 is incorrect because it suggests patching an older 9.x series instead of releasing a fix on the current 12.4.0 tag. You should update the active release series rather than create a patch on a prior major version unless you are maintaining that older branch.

If the change is only a bug fix keep the major and minor numbers and increment the patch field in the version tag.

The correct role to assign to DevUser2 is Deployment Environments User.

The Deployment Environments User role grants the specific permissions needed to create and provision environments in Azure Pipelines. This role focuses on environment creation and management and therefore follows the principle of least privilege by not granting broader project or build administration rights.

Contributors is incorrect because it is a broader role that covers general contribution permissions and does not specifically target environment creation and provisioning. Assigning Contributors would grant more privileges than required.

Build Administrators is incorrect because that role is oriented to build pipeline administration and related build resources and it does not specifically provide the minimal environment creation and provisioning permissions needed here.

DevCenter Project Admin is incorrect because it applies to Azure DevCenter project administration and is not the role that controls Azure Pipelines deployment environments.

When a question asks you to follow least privilege choose the role that explicitly grants the required action rather than a broad contributor or admin role. Check the environment permission documentation to confirm which role covers creation and provisioning.

The correct answer is Use an Application Insights availability test with alerting.

Use an Application Insights availability test with alerting lets Contoso run synthetic HTTP checks from selected Azure regions and trigger alerts when the application becomes unreachable. Application Insights availability tests integrate with Azure Monitor alerts and action groups so you can configure notifications and automated responses without writing custom monitoring code. This approach keeps development effort to a minimum because the platform performs the scheduled pings and provides regional test location selection and failure criteria out of the box.

Azure Front Door health probes are designed for backend health and routing decisions inside Front Door and they do not provide a simple way to run user oriented synthetic availability tests from arbitrary monitoring locations or to generate multi region alerting without additional custom work.

Create an Azure Service Health alert for the chosen regions relates to Azure platform and service incidents and not to the reachability of a customer hosted web application. Service Health will not run HTTP availability checks against your app.

Deploy a custom Azure Function in each region to perform scheduled pings and generate alerts would achieve availability checking but it increases development and operational overhead. Building and maintaining custom pingers in each region is more work than using the managed availability tests provided by Application Insights.

When a question asks about synthetic HTTP checks from selected Azure regions with minimal development use Application Insights availability tests and highlight their integration with Azure Monitor alerts and action groups.

The correct option is Contributor.

Contributor grants the permissions needed to push and publish packages to an Azure Artifacts feed while keeping administrative abilities limited. This role lets TeamPublish upload packages without giving full control over the feed or its permissions.

Reader only permits listing and installing packages so it cannot be used to push or publish packages and is therefore insufficient for TeamPublish.

Owner provides full control of the feed including permission changes and deletion so it grants more privilege than is required and is not the minimal assignment.

Collaborator is not a standard built in Azure Artifacts feed role and would not represent the minimal, correct permission set for publishing packages.

Use least privilege when assigning feed roles and pick the role that matches the required action. For publishing packages assign Contributor rather than a higher privileged role.

The correct option is Drag and drop the pages directly in the wiki navigation pane.

Azure DevOps lets you reorder the visible wiki navigation by moving pages in the navigation pane. When you use drag and drop the pages directly in the wiki navigation pane the new sequence is applied immediately and the navigation reflects the order that viewers see.

Add a file named home.md at the root of the wiki that declares the page structure is incorrect because Azure DevOps does not use a special home.md file to control the navigation order.

Create a hidden .ordering file at the wiki root that lists pages in the desired sequence is incorrect because there is no supported .ordering mechanism for controlling wiki navigation in Azure DevOps.

Rename pages to include numeric prefixes so the navigation sorts them alphabetically is incorrect because the web UI provides direct reordering and numeric renaming is not required and would change the visible page titles unnecessarily.

Check whether the wiki is a Project Wiki or a Code Wiki before you change ordering. Project wikis support drag and drop in the UI while code wikis may require editing the repository sidebar file.

The correct answer is No.

Check in policies are a feature that applies to Team Foundation Version Control repositories and they are not enforced for Git repositories in Azure Repos. Because the repository in the scenario is a Git repo a check in policy will not guarantee a branch is compiled before a pull request is merged.

To enforce compilation before merge you should use branch policies and enable build validation or require a successful pipeline run as part of the branch protection. Branch policies let you require that a specified build pipeline completes successfully before the PR can be completed and this meets the stated requirement.

Yes is incorrect because it assumes a check in policy will work for a Git repository when in fact those policies do not apply to Git in Azure Repos.

When the exam mentions enforcing builds for a Git repo remember to think of branch policies with build validation rather than TFVC check in policies.

No is correct.

Pipeline artifacts are designed to publish build outputs and make them available to later jobs or for download after a run. They are uploaded when a job finishes and then downloaded by later stages or consumers of that run. Using artifacts to persist node modules across separate pipeline runs is not an efficient or intended use because artifacts are tied to a specific run and handling uploads and downloads each run often adds overhead instead of reducing it.

The usual solution is to use the Azure Pipelines caching feature or a registry cache so that npm packages are restored from a cache between runs. The cache task can store dependency files keyed by the lockfile and then restore them quickly on subsequent runs. This reduces the time spent installing packages far more effectively than using pipeline artifacts.

Yes is incorrect because choosing artifacts would not provide the efficient cross-run dependency caching that the build needs. Artifacts are for sharing build outputs within or after a run and they are not optimized for repeatedly caching and restoring node dependencies across many pipeline runs.

When a question asks about speeding up dependency installs think about the word cache and look for a service or task that explicitly provides caching between runs rather than an artifact or publish step.

The correct option is Add a validation check in the Preproduction environment that queries Azure Monitor Alerts for active alerts.

A validation check in the Preproduction environment configures an automated gate that queries Azure Monitor for active alerts after the Preproduction deployment and before promotion to Live. This approach verifies runtime performance with minimal administrative overhead because the check runs automatically and blocks promotion when alerts exist rather than requiring someone to inspect metrics manually.

Configure a check in the Live environment to query Azure Monitor Alerts for active alerts is incorrect because placing the check in Live only detects problems after promotion and does not prevent a problematic deployment from reaching production.

Require a post deployment manual approval in the Live stage by the Azure Monitor Alerts group is incorrect because it adds manual overhead and Azure Monitor Alerts is not a person or approval group. The requirement specifies minimal administrative work so an automated validation check is preferred.

Add a branch policy status check that queries Azure Monitor Alerts for active alerts is incorrect because branch policies run at code review time and cannot validate runtime alerts from a deployed environment. Branch status checks do not observe production or preproduction telemetry and so they cannot verify application performance after deployment.

When you need to verify runtime health before promoting a deployment prefer environment validation checks or gates over manual approvals or branch policies. Validation checks run automatically and reduce ongoing administrative effort.

Store svcCred as a secret in a variable group is the correct option because variable groups let you keep credentials encrypted and share them with only the pipelines and users you authorize within ProjectAlpha.

Variable groups support secret variables that are stored encrypted and are intended for pipeline consumption. You can link a variable group to specific build or release pipelines and then use the variable group security and authorization features to restrict which users and pipelines can read or use the secret credential. This makes variable groups a good fit when a credential must be available for production deployments but must remain limited to particular users and pipelines in the same project.

Reference svcCred from an Azure Key Vault by creating a service connection to the vault is not the best answer here because a Key Vault service connection grants access at the subscription or vault level and is typically managed as a shared service connection. It is harder to scope access only to specific pipelines or users within a single DevOps project without additional configuration.

Upload svcCred as a secure file in the Pipelines secure files library is incorrect because secure files are intended for binary artifacts like certificates or provisioning files rather than simple secret variables. Secure files are not as convenient for injecting credentials into pipelines as secret variables in a variable group.

Configure a deployment gate for ServiceX production releases is incorrect because deployment gates control whether a release proceeds based on external checks and approvals and they do not provide a mechanism to store or restrict access to credentials.

When a secret must be shared only with certain pipelines or users prefer variable groups and verify the group security and pipeline authorization settings to limit access.

The correct option is A deployment gate.

A deployment gate enforces automated checks before a release stage proceeds so it can block a deployment until compliance is verified. Gates in Azure Pipelines can run REST checks or custom checks against Azure resources and can be used to validate that Azure Policy assignments are satisfied before allowing the release to continue.

A deployment trigger is incorrect because triggers only start pipeline runs automatically and they do not perform enforcement checks against Azure Policy.

A pipeline variable is incorrect because variables only provide values to the pipeline and they cannot by themselves evaluate subscription level policy compliance or stop a release based on policy state.

A deployment approval is incorrect because approvals require a human to allow or block a deployment and they do not automatically evaluate Azure Policy assignments or enforce policy compliance without manual intervention.

When a question asks how to block releases that violate policy think of automated pre deployment checks such as gates rather than manual approvals or configuration values.

All Azure questions come from my AZ-400 Udemy course and certificationexams.pro

The correct option is Fixes AB#932, AB#933, AB#934.

Using Fixes AB#932, AB#933, AB#934 embeds Azure Boards work item references in the commit message and uses the recognized keyword that tells Azure Boards to transition the linked work item to Done when the pull request is completed. The AB# prefix targets Azure Boards work items rather than GitHub issues and the word Fixes triggers the automated state change on completion.

932, #933, #934 is incorrect because it omits the AB prefix and therefore refers to GitHub issues in the repository rather than Azure Boards work items. It will not link or transition the Azure Boards work item.

Closes AB#932 AB#933 AB#934 is incorrect because although the AB# references would link to work items the keyword Closes is not the supported keyword for triggering Azure Boards to move the work item to Done. The integration expects the Fixes keyword to perform the automated transition.

Fixes 932, #933, #934 is incorrect because it uses the Fixes keyword but lacks the AB prefix so it will target GitHub issues instead of Azure Boards work items and will not move work item 932 to Done.

Completed 932 is incorrect because Completed is not a recognized closing keyword and it also lacks the AB prefix. This message will not create the required link or cause the work item to transition to Done.

Remember to include the AB# prefix to target Azure Boards work items and use the Fixes keyword to have the work item transition automatically when the pull request is completed.

The correct answer is Cycle time.

Cycle time measures the elapsed time from when active work on a work item begins until that work item is completed. This metric directly reflects the duration the question asks about and it is the standard DevOps KPI for individual work item completion time.

Lead time is not correct because it measures the time from when a request is made until it is delivered to the user and it therefore includes waiting time before active work begins.

Throughput counts how many work items are completed in a given period and it does not measure the duration of a single work item.

Application failure rates measures the frequency of production failures or errors and it is unrelated to the time to complete a work item.

Burndown trend shows how remaining work decreases over an iteration or sprint and it tracks progress at a team level rather than measuring time for a single work item.

Deployment speed refers to how quickly changes are deployed to environments and it does not indicate how long an individual work item was worked on.

Defect escape rate measures the proportion of defects that reach production compared to defects found earlier and it is not a duration metric for work items.

Mean time to recover measures the average time to restore service after an incident and it is an operational reliability metric not a work item completion time.

When a question asks about the time from when active work starts until completion look for the term cycle time in the answers and avoid lead time unless the question explicitly includes request waiting time.

No is correct. The proposed Azure DevOps change does not meet the requirement to send an email on each scale in or scale out operation for the virtual machine scale set.

The reason No is correct is that VM scale set autoscale events are Azure resource events and not Azure DevOps events. Notifications for VMSS scale actions must come from Azure monitoring or activity log mechanisms that see resource operations and not from the DevOps build or release event pipeline.

Create an Azure Monitor alert and an action group to send an email is incorrect as stated because simple metric alerts do not directly represent the autoscale operation itself. To notify on autoscale actions you must target the Activity Log or configure the autoscale notifications and then connect an action group to send email.

Yes configure Service hooks for ProjectAlpha in Azure DevOps is incorrect because Azure DevOps service hooks publish events from the DevOps system such as pushes, builds, and releases. They do not subscribe to Azure resource lifecycle events like VMSS scale in or scale out.

Use an Azure Logic App to respond to VMSS activity log entries and send email is incorrect in the context of the proposed solution even though it describes a viable alternative. The question asked whether configuring Service hooks would satisfy the requirement and the correct response is that it would not.

When a question asks about notifications for Azure resource changes look at the Activity Log and autoscale settings first and not at Azure DevOps hooks. Activity Log alerts or autoscale notifications are the typical exam answers for resource lifecycle events.

No is correct. The provided snippet does not meet the stated requirements.

The snippet as written will not reliably restrict the pipeline to changes under the frontend folder. Azure Pipelines expects the pr trigger to use lists for branches and for paths and it expects path filters as glob patterns without a leading slash. In practice you would use a pr block with branches include as a list and paths include as a list and a path pattern such as frontend/** to match that folder and its contents.

Even with correct syntax the pr trigger runs when a pull request is created and when it is updated. The requirement to run only on PR creation cannot be satisfied by a standard pr trigger alone because Azure Pipelines does not provide a built in setting to fire only on creation and ignore later updates. You would need additional logic or conditions in the pipeline to approximate that behavior.

Yes is incorrect because the snippet both uses the wrong path syntax and it does not address the fact that pr triggers fire on updates as well as creation. The leading slash and the missing list structure mean the filters will not behave as intended.

When you see YAML trigger questions check both the exact syntax and the actual event semantics. Remember that PR triggers use paths include with glob patterns such as frontend/** and that PR triggers run on creation and on updates.

The correct option is User.

The User permission on an Azure DevOps service connection grants the ability to consume or use the connection within build and release pipelines without granting edit, rename, share, or administrative capabilities. This matches the TeamGamma requirement to only consume connections and it follows the principle of least privilege.

Organization-level Administrator is incorrect because that role grants broad, organization wide administrative rights that are far beyond the need to simply consume a service connection and it would violate least privilege.

Contributor is incorrect because it is a broader project level role and it can allow changes to project resources rather than only the narrow use permission required for pipelines.

Project-level Administrator is incorrect because project administrators can manage and modify service connections and other project settings which is more permission than TeamGamma needs.

Creator is incorrect because it is not the minimal built in permission that grants only consumption of a connection and it would typically imply creation or management rights that are unnecessary for TeamGamma.

When exam questions describe a single action like consume in pipelines map that action to the narrowest role that grants only that action and nothing more. Least privilege is often the deciding factor.

Yes is correct.

The pipeline task is set to always() so the PublishTestResults@2 step will run for every outcome including failures and cancellations, which satisfies the requirement to publish test results on every run. The unit test task that runs before publishing will normally fail the job when tests fail, so the pipeline will still fail on test failures while the publish step still runs.

The PublishTestResults@2 inputs also include failTaskOnMissingResultsFile true which ensures the publish task fails if no results file is found, so missing or misconfigured test outputs are surfaced.

PublishTestResults@2 with condition succeededOrFailed() is incorrect because succeededOrFailed() does not guarantee the step runs when a run is canceled, so results may not be published for canceled runs.

No is incorrect because the shown configuration does meet the stated requirements when the test runner itself fails the pipeline on test failures and the publish task is set to always run and to fail on missing results files.

When you must publish results even on cancellation or failure use always() for the publish step and confirm whether the test runner or the publish task is responsible for failing the pipeline on test failures.

The correct option is Git.

Git is a distributed version control system so every developer has a complete copy of the repository history on their workstation. That design lets developers commit, inspect history, and create branches while disconnected and then push or fetch changes when they reconnect.

Google Cloud Source Repositories is a hosted repository service on Google Cloud that uses Git under the hood. It is incorrect here because the question asks for the version control tool that provides distributed offline history rather than a hosting product.

Subversion is a centralized version control system so clients normally do not have the full project history locally. That makes it unsuitable for the stated requirement to work while disconnected with access to the complete history.

When the question mentions work while disconnected or full project history look for a distributed VCS such as Git rather than centralized systems or hosting products.

The correct option is Yes.

Configuring the autoscale settings in Azure Monitor meets the requirement because autoscale supports notifications for scale operations and you can attach an action group that sends email when the scale set scales in or out. By adding an email receiver to an action group and linking that action group to the autoscale setting you will receive an email whenever VMSSProd performs a scale out or scale in action.

The autoscale feature monitors metrics or schedules and then executes scale actions. The notification configuration is part of the autoscale settings so the scale event itself can trigger the action group which can deliver email, SMS, or webhook messages to recipients.

No is incorrect because relying on Azure Monitor autoscale settings will generate the required email notifications and therefore the solution does meet the requirement.

When you configure autoscale notifications create an action group with an email receiver and then test by forcing a manual scale so you can confirm emails are delivered.

All Azure questions come from my AZ-400 Udemy course and certificationexams.pro

The correct answer is Purchase additional Microsoft-hosted parallel jobs.

Purchase additional Microsoft-hosted parallel jobs increases the number of concurrent Microsoft-hosted agents that can run your builds. This reduces queuing and prevents timeouts that happen when builds wait for an available hosted agent. It also keeps administrative overhead low because Microsoft manages the agents and you do not need to provision or maintain infrastructure.

Switch the pipeline to a Microsoft-hosted Linux agent is not a reliable fix because changing the OS does not increase parallel capacity and it may break Windows specific builds. That option does not address the underlying concurrency limits that cause intermittent timeouts.

Increase the pipeline job timeout setting in the YAML is not ideal because extending the timeout can hide symptoms and increase build duration without solving agent availability or concurrency problems. Microsoft-hosted agents also have maximum timeout limits and longer runs may still fail if builds are repeatedly queued.

Stand up a self-hosted agent pool would solve concurrency but it increases administrative overhead since you must provision, secure, and maintain the machines. The question asks to keep admin overhead low so this option is not the best choice.

When builds time out determine if the issue is caused by waiting for an available agent or by the build running too long. If it is queueing then adding parallel jobs is the low maintenance solution.

The correct option is Cycle time.

Cycle time measures the elapsed time from when work actually starts until it is completed. In Azure DevOps the cycle time widget calculates how long items spend in the active workflow state through to completion so it produces the chart the team described.

Lead time is incorrect because it measures from item creation to completion and therefore starts earlier than the active state the team asked about.

Burndown is incorrect because it shows remaining effort or work over an iteration and does not report per item elapsed time from active to done.

Cumulative Flow Diagram is incorrect because it visualizes counts of work in each state to highlight flow and bottlenecks and it does not directly report the time a single work item spent in active work.

Look for the exact start and end events in the question. If the metric begins when work becomes active and ends at completion then the correct choice is the cycle time metric.

The correct answer is Azure Artifacts Credential Provider.

The Azure Artifacts Credential Provider is designed to enable noninteractive authentication for NuGet and dotnet package restore in CI builds. It automatically acquires feed credentials or tokens from the pipeline environment and presents them to the NuGet client so restores run without any interactive prompts.

The Azure Artifacts Credential Provider works with NuGet.exe, dotnet restore and MSBuild and is the recommended, supported approach for authenticating to private Azure Artifacts feeds from Azure DevOps pipelines.

A personal access token can authenticate to a feed but it requires manual creation, rotation and secure injection into the build. It is not the automated, built in mechanism the credential provider supplies.

An Azure Automation account is for running runbooks and automating Azure resource management and it is not used to provide NuGet client authentication for CI package restores.

A service principal in Microsoft Entra ID is intended for granting apps access to Azure resources and is not the direct mechanism used by NuGet clients to authenticate to Azure Artifacts feeds in a pipeline. The credential provider or pipeline built in authentication is the correct choice.

When a question asks about noninteractive package restore prefer the Azure Artifacts Credential Provider or the pipeline built in authentication rather than embedding static credentials. Keep any required secrets in secure pipeline variables.

The correct option is Azure Boards.

Azure Boards provides Kanban boards backlog management work item tracking and team dashboards that are designed for planning and tracking work across sprints and iterations. It integrates with other Azure DevOps services so teams can link work items to code commits builds and releases which makes it the appropriate replacement for Asana for Kanban style backlog and work tracking.

GitHub Actions is a workflow automation and CI CD tool and it does not provide Kanban boards or backlog management features.

Azure Artifacts is a package management service for NuGet npm and Maven packages and it is not intended for task tracking or boards.

GitHub repositories are for source code hosting and version control and they do not provide the integrated backlog and Kanban work tracking that a boards service offers.

Azure Test Plans focuses on manual and exploratory testing and test case management and it does not replace a task tracking or Kanban board system.

Azure Pipelines provides CI CD build and release automation and it does not include Kanban boards or backlog features for managing team work.

When a question asks about Kanban or backlog management look for services that explicitly mention boards or work items. Do not choose CI CD or package management tools when the focus is task tracking.

The correct option is Azure Pipelines.

Azure Pipelines provides continuous integration and continuous delivery capabilities and it is the direct replacement for Atlassian Bamboo because Bamboo is a CI CD automation server. Pipelines handles building testing and deploying code across platforms and languages so it maps to the same role in the toolchain.

Azure Repos is focused on source control hosting for Git and TFVC and it does not provide the build and release automation that Bamboo offers so it is not the correct replacement.

Azure Test Plans provides test case management and manual and exploratory testing tools and it is centered on testing rather than pipeline orchestration so it does not replace Bamboo.

Azure Boards delivers work tracking and agile planning features and it addresses project management needs rather than CI CD automation so it is not the right choice to replace Bamboo.

When mapping third party tools to Azure DevOps match the core function not the product name. For continuous integration and delivery look for Azure Pipelines.

The correct answer is Azure Log Analytics workspace.

The Azure Log Analytics workspace is the Azure Monitor Logs storage and query surface and it is built to consolidate diagnostic logs and activity logs from multiple resources into a single workspace. It stores ingested telemetry under a consistent schema and provides the Kusto Query Language so you can run ad hoc queries and correlate data across resources.

Azure Storage Account can be used to archive diagnostic or activity logs for long term retention but it does not provide the integrated query engine or analytics capabilities that a Log Analytics workspace offers.

Azure Event Hubs is a streaming ingestion service that you use to forward logs to external systems or downstream processors and it is not a place where you perform interactive queries inside Azure Monitor.

When a question asks about consolidating and querying logs pick a Log Analytics workspace and remember that Kusto Query Language is used to analyze the data.

The correct option is Azure Pipelines variable marked as secret.

The Azure Pipelines variable marked as secret option is correct because secret variables live inside the pipeline and can be referenced directly by deployment tasks without adding an external retrieval step. These variables are masked in logs and can be injected into steps that call the external monitoring service so the confidential API key is passed securely with minimal changes to the existing pipeline definitions.

Variable group in Azure DevOps linked to Key Vault is not the best choice when the goal is the least modifications because linking a variable group to Key Vault requires configuring the variable group, granting access to the Key Vault, and ensuring the pipeline references the group. Those changes add configuration and possible permission steps compared with a native pipeline secret.

Secret stored in Azure Key Vault is also not the least disruptive option because pulling a secret from Key Vault at runtime requires creating a service connection or adding a Key Vault task and managing access permissions. That introduces extra steps and pipeline changes beyond using an existing pipeline secret.

When a question asks which choice requires the least pipeline changes prefer solutions that are native to Azure Pipelines such as a secret variable rather than external secret stores.

The correct option is Branch policy.

Implementing Branch policy on the target branch enforces repository level rules that can require reviewers to resolve comments and require passing validations before a pull request can be completed. These policies are applied automatically by Azure Repos so they reduce ongoing administrative overhead and prevent merging of pull requests with unresolved comments.

Pre deployment gate is used to control whether a release can proceed to a target environment by running checks before deployment. It does not operate at the pull request level in source control and so it cannot prevent merging of PRs with unresolved comments.

Post deployment gate runs checks after a deployment to decide whether a release should continue or trigger actions based on external signals. It is concerned with release pipelines and not with pull request completion, so it is not suitable for preventing merges with unresolved comments.

Custom pipeline extension could be built to inspect pull request state, but creating and maintaining a custom extension adds ongoing administrative overhead. Because Azure Repos already provides built in branch policies that cover this requirement, a custom extension is unnecessary for this use case.

When a question asks about preventing merges for unresolved comments prefer repository branch policies first because they enforce rules automatically and scale without extra maintenance. Only consider custom extensions when built in policies cannot meet the requirement.

The correct choice is Azure Application Insights.

Azure Application Insights captures detailed application performance telemetry such as request rates, response times, failure rates and distributed traces. It also supports real user monitoring with a JavaScript SDK to measure page load times and client side performance, and it can be instrumented in App Service apps with minimal configuration.

Azure Application Insights integrates with Azure Monitor to provide live metrics, transaction diagnostics and distributed tracing so you can drill into slow requests and identify bottlenecks across services and external dependencies.

Azure Advisor provides personalized recommendations for cost, security and reliability and it does not provide detailed application telemetry or page load timing data.

Splunk can perform log analysis and observability when configured with additional products but it is a third party solution that requires extra integration and licensing and it is not the native Azure service for capturing page load times out of the box.

App Service logs supply server side request and diagnostic logs for App Service but they do not include the deep application performance traces or client side page load metrics that Application Insights provides.

When a question asks for detailed application performance or page load timing look for services that advertise application performance monitoring or real user monitoring. For Azure native solutions that usually points to Application Insights.

The correct option is Create the DSC metaconfiguration then copy the metaconfiguration to the servers then from each server run setdsclocalconfigurationmanager.py.

This sequence is correct because you must first author the DSC metaconfiguration so that the Local Configuration Manager has the desired settings to apply. After you create the metaconfiguration you copy it to each Linux server and then you run setdsclocalconfigurationmanager.py on each server to apply the metaconfiguration to the LCM. You already installed PowerShell DSC and ran register_agent.py so the last step is to ensure the LCM is configured with the metaconfiguration.

Apply the Local Configuration Manager on the servers by running setdsclocalconfigurationmanager.py then author the DSC metaconfiguration then copy the metaconfiguration to the servers is incorrect because it applies the LCM before the metaconfiguration exists. You must author the metaconfiguration first and then apply it to the LCM.

Copy the metaconfiguration to the servers then run setdsclocalconfigurationmanager.py then author the DSC metaconfiguration is incorrect because it runs the LCM update before the metaconfiguration is authored. Applying the LCM requires the metaconfiguration to be present and valid first.

Install Open Management Infrastructure and the Linux DSC components on the servers then create the DSC metaconfiguration then add the servers as DSC nodes in Azure Automation is incorrect in this scenario because the question states that you already installed PowerShell DSC and executed register_agent.py. Installing OMI and adding nodes may be required in other contexts but it does not reflect the correct next steps or the required order for applying a metaconfiguration after agent registration.

For sequence questions focus on the action that creates configuration first and the action that applies it second. Confirm whether the node registration or component installation is already done before choosing your answer and pay attention to the order of authoring then applying.

A hosted service is the correct answer for where to execute the release agents for the investment planning application suite.

Running release agents in a hosted service centralizes pipeline execution and provides isolation and consistent runtime environments and access controls and audit logs which are required for reliable and repeatable releases. A hosted CI/CD service can scale and integrate with source control and deployment targets while keeping credentials and secrets out of developer machines.

Using a hosted service also enables automated triggers from commits and pull requests and it provides centralized logging and rollback capabilities which align with the enterprise release management needs described in the case study.

Developers’ workstations are wrong because they are ephemeral and inconsistent and they do not provide the centralized control or auditing needed for production releases and they create security and availability risks if releases depend on individual machines.

Source control repository is wrong because a repository stores code and can trigger pipelines but it does not execute release agents itself and running agents inside the repo would mix concerns and weaken separation of responsibilities and security best practices.

When a question asks where to run release agents prefer answers that emphasize centralization and automation and auditability and choose managed or hosted CI/CD services over local machines or the repository.

The correct answer is Traces | where timestamp > ago(48h) | join (Events | where continent == ‘Asia’) on RequestID.

This order filters Traces to the past 48 hours first and then joins only the Events that match continent Asia. Applying the filters before the join reduces the amount of data that must be matched and ensures the timestamp condition applies to the Trace records returned. The join syntax expects the left table first and then the right table in parentheses which yields the intended Trace-centric results.

join (Events | where continent == ‘Asia’) on RequestID | Traces | where timestamp > ago(48h) is invalid or misordered because a query pipeline must start with a table before a join. You cannot begin with the join operator and then pipe to a table.

Events | where continent == ‘Asia’ | join (Traces | where timestamp > ago(48h)) on RequestID is incorrect because it makes Events the primary left table. That changes the output context and which table s columns are returned and it does not meet the requirement to retrieve Traces as the primary records.

Traces | join (Events) on RequestID | where timestamp > ago(48h) | where continent == ‘Asia’ is wrong because it performs the join before applying the filters. Joining unfiltered tables is less efficient and can produce large intermediate result sets, so it is better to filter each table prior to the join.

Traces | where continent == ‘Asia’ | where timestamp > ago(48h) | join Events on RequestID is wrong because Traces does not have a continent field. That filter will be invalid or return no rows and the continent filter belongs on the Events side.

Start with the table you want to return and apply where filters on each table before using join. Filtering early reduces data movement and keeps results predictable.

All Azure questions come from my AZ-400 Udemy course and certificationexams.pro

The correct option is Add a post deployment task that performs a security and compliance assessment.

This choice is correct because Add a post deployment task that performs a security and compliance assessment verifies the actual deployed resources against the subscription policy after creation. A policy with the audit effect records compliance state and does not prevent resources from being created, so the pipeline needs to run a post deployment check to surface naming violations or to fail the release based on the compliance results.

Add a pre deployment task that performs a security and compliance assessment is incorrect because a pre deployment assessment runs before resources are created and therefore cannot verify the final resource names that the deployment produces. It may catch template issues but it will not reflect the live resource state after deployment.

Add a pipeline task that assigns NamingAuditPolicy to SubscriptionB2 using Azure CLI is incorrect because the policy is already present in SubscriptionB2 and assignment is a governance action that is not required to verify compliance during this deployment. Assigning a policy from the pipeline is also slower and can delay evaluation, so it does not satisfy the requirement to verify resources deployed by DeployPipeline2.

When a policy uses the Audit effect you should verify compliance after deployment so include a post deployment compliance or policy scan task in your pipeline.

The correct option is Azure Resource Manager.

The Azure Resource Manager service connection is designed to let Azure DevOps authenticate to Azure resources so pipelines can retrieve secrets from an Azure Key Vault without embedding long lived credentials in pipeline YAML or source control. It can be configured to use an Azure AD service principal or a managed identity so the authentication material remains in Azure and access is granted via Azure Key Vault access policies.

Generic service is incorrect because it is a catch all endpoint type and does not provide the native Azure authentication flow or Key Vault integration. Using a generic connection would typically require you to supply and store credentials or tokens directly for the pipeline to use.

Team Foundation Server / Azure Pipelines service connection is incorrect because that connection type is intended for on premises Team Foundation Server or Azure DevOps Server integration and it does not provide the native Azure Resource Manager authentication needed to access Azure Key Vault. Team Foundation Server is also the older on premises product and is less relevant for cloud native Azure key vault access.

When a question asks about accessing Azure Key Vault without storing credentials in the pipeline think about service connections that can use Azure AD principals or managed identities. The Azure Resource Manager connection is the typical choice.

The correct answer is Save the encrypted secret blob inside the repository and store the decryption passphrase in repository level GitHub secrets.

This approach works because the large secret blob can exceed GitHub secret size limits so storing the encrypted file in the repository lets you keep the full 300 KB value under version control or as an artifact. The small decryption passphrase fits within repository level GitHub secrets and can be injected into the specific workflow at runtime so the workflow can decrypt the blob when it runs. This minimizes administrative work because you avoid running a separate secret management service and you only need to manage a small secret in the repository settings.

Store the secret in organization level GitHub secrets is incorrect because organization level secrets are intended for sharing across many repositories and they do not solve the large blob size problem. Using an organization secret would broaden access and it still does not accommodate storing a 300 KB value directly.

Google Secret Manager is incorrect in this scenario because it introduces additional operational overhead and access management that is not minimal. While it can store larger secrets it requires extra configuration and credentials and it is more effort than storing an encrypted blob plus a small passphrase in GitHub for a single workflow.

Save the encrypted secret in the repository and store the decryption passphrase in organization level GitHub secrets is incorrect because putting the passphrase at the organization level expands access beyond the single repository and single workflow that need it. That wider scope increases exposure and administrative coordination compared to keeping the passphrase at the repository level.

When a secret is larger than the platform secret limits think about storing an encrypted file in the repository and putting only the small decryption key in secrets so you can limit scope and keep administrative overhead low.

The correct option is Release pipeline overview.

The Release pipeline overview widget is the right choice because it is built to show pipeline level metrics such as deployment status, success rates, and environment health, and those types of pipeline KPIs match Metric 2 from the case study.

Cumulative flow diagram is focused on work item flow across board columns and on tracking work in progress, so it does not present release pipeline metrics.

Velocity reports the amount of work completed across past sprints and is a team throughput measure, so it does not show release or deployment metrics.

Query results displays lists of work items returned by a saved query, and it does not surface pipeline run or deployment statistics.

Sprint burndown tracks remaining work within a sprint and is tied to sprint planning and execution, so it is not suitable for showing release pipeline information.

Build pipeline overview focuses on CI build pipelines and their status and metrics, and it would not present the release pipeline metric required by Metric 2.

When a question asks which dashboard widget should present a metric first identify whether the metric comes from a pipeline, work items, or boards, and then pick the widget that directly exposes that data such as a build or release widget for pipeline metrics and a chart or query widget for work item metrics.

The correct answer is Use a path filter that excludes /assets/*.

A path filter that excludes /assets/* prevents the pipeline from running when commits only change files under the assets folder. Path filters evaluate changed file paths in the commit so excluding the assets folder is the appropriate way to ignore changes that are confined to that directory while still triggering on other changes.

The option Use a path filter that includes /assets/* is incorrect because including that path would cause the pipeline to run only when files in the assets folder change. That behavior is the opposite of the requirement to skip builds for asset-only changes.

The option Use a branch filter that excludes /assets/ is incorrect because branch filters operate on branch names and not on file or folder paths. A pattern like /assets/ does not match branch names so this does not achieve the desired behavior.

The option Use a branch filter that includes /assets/* is incorrect for the same reason. Branch filters cannot be used to include or exclude specific folders in the repository so they cannot be used to skip builds for changes that are confined to a particular path.

When an option mentions path or branch think about what is being matched. Path filters match changed files and folders while branch filters match branch names. Choose the filter type that corresponds to the thing you need to control.

The correct option is No. This is because you cannot assume that the telemetry from Azure Application Insights and the Intelligent Insights experience for Azure SQL will be available for ad hoc querying with Transact-SQL by default.

Azure Application Insights stores its telemetry in Azure Monitor Logs and is queried with the Kusto Query Language through the Logs experience or the API. That makes KQL the native query language for Application Insights telemetry and not T-SQL.

Azure SQL Database Intelligent Insights provides built in performance diagnostics and recommendations in the Azure portal and integrates with Azure Monitor for alerts and summaries. It is not delivered as a generic set of tables that you can query with T-SQL for ad hoc telemetry analysis unless you explicitly export or route the telemetry into a SQL store.

Yes is incorrect because the default telemetry path uses Azure Monitor Logs and Kusto queries. You would need to configure export or diagnostic settings to send telemetry into an Azure SQL database before you could use T-SQL for the ad hoc inspections you describe.

When a question mentions Azure telemetry ask whether the data lives in Azure Monitor Logs and requires KQL or whether it has been exported into a SQL store for T-SQL queries.

The correct answer is AB#892.

The AB#892 token uses the Azure Boards mention format and Azure Boards recognizes the AB# prefix in GitHub commit messages so the push will automatically associate the commit with work item 892.

Fixes 892 is GitHub issue closing syntax and it does not use the Azure Boards AB work item reference so it will not automatically link the commit to an Azure Boards work item.

the work item URL is not the required shorthand syntax and including the full URL in a commit message does not trigger the Azure Boards automatic association the way the AB# format does.

@892 is not recognized by Azure Boards as a work item reference and it will not create a link to work item 892 when the commit is pushed.

When linking commits to Azure Boards include AB#123 in the commit message so the integration can detect and associate the correct work item automatically.

The correct option is Create a Logic App, add an HTTP Request trigger and then update the Azure Monitor action group.

This solution lets Azure Monitor invoke the workflow directly through the action group by calling the Logic App endpoint. The Logic App’s HTTP Request trigger receives the alert payload and the workflow can then transform and forward the error details to the external support system using an HTTP action or a connector. This keeps ongoing administration minimal because there is no extra messaging infrastructure to run and the Logic App provides managed execution and built in integration points.

Provision an Event Hub, select the Sliding Window trigger and then connect the Event Hub to the Monitor action group is incorrect because action groups do not natively post alerts into Event Hubs and adding Event Hubs increases operational overhead. Sliding Window triggers are for batching scenarios and do not match the direct alert delivery requirement.

Set up a Recurrence trigger, attach the workflow to the action group and forward events via Event Hubs is incorrect because a recurrence trigger polls on a schedule and does not receive alert payloads in real time. Using Event Hubs for forwarding adds unnecessary complexity and ongoing management.

Create a Logic App with a Sliding Window trigger and then link that Logic App to the Monitor action group is incorrect because the action group is designed to invoke a Logic App directly using an HTTP Request trigger or a built in Logic App action. The Sliding Window trigger is intended for aggregating events and is not appropriate for immediate alert forwarding.

Deploy an Event Grid subscription, create an Event Hub and then route the subscription output to the action group is incorrect because this introduces multiple components that are not needed for simple alert to external system delivery. Event Grid and Event Hubs are useful for streaming scenarios but they increase the operational burden compared with a direct Logic App invocation.

Prefer actions that Azure Monitor action groups can invoke directly such as a webhook or a Logic App when you want minimal ongoing administration and near real time delivery.

The correct answer is Microsoft Defender for Cloud.

Microsoft Defender for Cloud is the Azure service that centralizes security posture management and shows security recommendations organized by security controls and categories. In the portal you open Microsoft Defender for Cloud and then view the Compute and Apps section to see the specific recommendations for App Service and serverless functions.

Azure Advisor is incorrect because it focuses on cost, performance, reliability, and operational recommendations and it does not present the Compute and Apps security recommendations that Defender for Cloud provides.

Azure Monitor is incorrect because it is a monitoring platform for metrics, logs, and alerts and it does not provide the security control based recommendations in the Compute and Apps section.

Azure Log Analytics is incorrect because it is the log query and workspace service used by monitoring and security solutions and it does not itself surface the Compute and Apps security recommendations in the portal.

When a question asks where to find security recommendations look for the service that manages security posture and organized recommendations by control. Search for Microsoft Defender for Cloud and then open the Compute and Apps section in the portal.

The correct answer is Defect escape rate.

Defect escape rate measures the share of defects that are discovered after release compared with those found before release, so it directly captures the balance between time spent debugging in the build and test cycle and time spent fixing issues in production. Tracking this rate lets you quantify how many problems “escaped” your pre release processes and therefore shows whether most debugging effort occurs before or after users are affected.

Rework rate tracks the amount of work that must be redone and it is more about effort churn than where defects are found, so it does not directly compare pre release versus post release debugging time.

Mean time to repair measures how quickly you fix an incident once it is detected and it speaks to responsiveness rather than the proportion of defects that escape to production.

Unplanned work rate measures how much work is reactive versus planned and it covers many kinds of interruptions, so it does not specifically quantify defects found after release versus during the build and test cycle.

When a question asks you to compare defects found before versus after release look for metrics that count escaped defects. Focus on whether the KPI explicitly measures post release defects.

The correct option is System.Debug.

Azure DevOps defines a special, predefined pipeline variable called System.Debug that turns on verbose or diagnostic logging when its value is set to true. You can add System.Debug as a pipeline variable in the classic pipeline variables UI or declare it in your YAML variables section to get more detailed build and release logs.

System.Log is not a recognized predefined Azure Pipelines variable and will not enable verbose logging. The service expects the specific System.Debug variable for this behavior.

Debug without the System prefix is not the correct variable name and Azure Pipelines will not treat it as the special debug switch.

Log is not a valid predefined variable for toggling diagnostics and will not turn on detailed logging.

When you need detailed logs set the variable name exactly to System.Debug and set the value to true. Also verify the variable scope or YAML placement so the pipeline can read it.

All Azure questions come from my AZ-400 Udemy course and certificationexams.pro

The correct options are 1 then 6 then 2 then 3 and 6 then 1 then 2 then 3.

Both sequences work because you need to have a local SSH key pair and you must upload the public key to your Azure DevOps user profile before cloning with the repository SSH URL. Generating the key locally and signing in to the Azure DevOps organization can be done in either order as long as the public key is uploaded before attempting the clone.

You should generate a local SSH key pair with ssh-keygen, then upload the SSH public key to your user profile in Azure DevOps, and finally clone devrepo using the SSH URL. The clone will succeed only if the public key is registered and the corresponding private key is available on your machine.

3 then 6 then 2 then 1 is incorrect because it attempts to clone the repository before you have generated keys or uploaded a public key. Cloning with SSH requires a registered public key and a private key on your client.

1 then 2 then 6 then 3 is incorrect because it asks you to upload an SSH public key before you have generated one locally. You cannot upload a public key that does not exist and the upload step will fail.

2 then 1 then 6 then 3 is incorrect for the same reason because it places the upload step before key generation. You must create the SSH key pair before adding the public key to your profile.

Generate your SSH key pair locally with ssh-keygen before attempting to upload or clone and remember that you should only upload the public key to your Azure DevOps profile.

The correct choice is CMMI process template.

The CMMI process template is built for organizations that need formal project governance and compliance because it provides work item types and workflows for detailed requirements, formal change requests, risk records, and review tracking. It includes traceability and approval mechanisms that support audit and regulatory needs, which makes it the appropriate template when you must capture formal change control and risk management artifacts.

Agile is focused on iterative delivery, user stories, and flexibility and it does not provide the formal change request and risk tracking structures required for strict compliance scenarios.

Scrum emphasizes sprint cadence, product backlogs, and team workflow for empirical process control and it is optimized for agility rather than formal change control and audit oriented records.

Basic offers a minimal set of work items for simple tracking and onboarding and it lacks the specialized work item types and approval workflows needed for detailed requirements and formal change management.

When a question mentions formal change requests, risk records, or audit and review controls look for the CMMI option because those keywords usually indicate a need for governance and compliance features.

The correct option is A single App Service with a production slot and a staging slot.

A single App Service with a production slot and a staging slot allows you to deploy the new release into the staging slot, warm it up, and then perform an atomic swap into production which minimizes outage and makes rollback very fast. The previous production version remains in the other slot after a swap so you can immediately swap back if a fault is discovered, and configuration and connection strings can be preserved to reduce risk during the swap.

Two App Service instances behind an Azure Traffic Manager profile is incorrect because Traffic Manager is DNS based and switching endpoints can be delayed by DNS caching. That approach requires maintaining duplicate deployments and it does not provide the near instantaneous, atomic swap and warm up behavior you get with deployment slots.

Two separate web apps with an Azure Standard Load Balancer is incorrect because the Standard Load Balancer operates at the network layer and is not the intended mechanism for App Service PaaS instances. Using separate web apps with a load balancer adds operational complexity and still does not provide the built in quick swap or rollback semantics of deployment slots.

One web app managed by two independent release pipelines is incorrect because multiple pipelines do not create an instant revert path. Reverting via a pipeline typically requires redeploying the prior artifact which takes longer and can introduce more outage than swapping slots.

When a question emphasizes very fast rollback and minimal outage think of App Service deployment slots and the atomic swap operation rather than DNS switches or redeploys.

Enforce conditional access policies in Azure Active Directory is the correct action to ensure the Azure DevOps instance can be accessed only from devices on the company campus network.

Enforce conditional access policies in Azure Active Directory lets you create rules that restrict sign in based on network location and device state. You can target the campus IP ranges or require compliant or hybrid Azure AD joined devices so that only devices on the corporate network or meeting device requirements can access Azure DevOps which uses Azure AD for authentication.

Create a Group Policy Object and apply it to domain joined computers is not sufficient because Group Policy controls settings on domain joined machines and cannot enforce Azure AD sign in restrictions for cloud services across network boundaries. The network based access control must be applied at the identity provider.

Assign devices to an Azure Active Directory device group by itself does not block access from outside the campus. Device groups are useful for targeting policies but you still need Enforce conditional access policies in Azure Active Directory to require membership or device compliance as an access condition.

Adjust project level security settings inside the Azure DevOps project settings is inappropriate because project security controls permissions inside Azure DevOps and they do not provide network location or device based sign in restrictions. Network and device controls must be enforced through Azure AD conditional access.

When a cloud service authenticates with Azure AD and the question asks to restrict access by network or device think Conditional Access first.

Install the Microsoft Teams app for GitHub and configure a repository subscription to send commit alerts to the channel is the correct choice.

The Microsoft Teams app for GitHub provides a built in connector that can subscribe a channel to repository events and post commit notifications directly to the specified Teams channel with minimal configuration and little to no custom code or ongoing maintenance.

Deploy an Azure Function to poll the GitHub API and post commit messages to the Teams channel is not ideal because polling requires custom code and continuous maintenance and it is less efficient than event driven integrations.

Use Microsoft Power Automate to subscribe to GitHub events and forward commit notifications to the Teams channel could deliver notifications but it introduces an extra service and potential licensing or complexity and it is not the simplest low maintenance option compared with the native Teams app.

Create a GitHub Actions workflow that calls the Teams API to send messages when commits are pushed would work but it requires creating and maintaining custom workflows and secrets and it adds ongoing operational overhead compared with the built in Teams integration.

When a question emphasizes minimal custom coding and low ongoing maintenance prefer native or first party integrations such as the Teams app for GitHub rather than custom functions or workflows.

Yes is correct because both the Compile job and the Integration job have no declared dependencies so they can run in parallel.

An empty dependsOn attribute means the job does not depend on any other job and can be scheduled as soon as resources are available. Integration has an empty dependsOn and Compile has no dependsOn declared so neither requires the other to finish before starting.

Audit likewise has no dependencies so it can also run in parallel with Compile and Integration. Release explicitly depends on Audit so Release will wait for Audit to complete before it runs.

No is incorrect because that option asserts Integration cannot run at the same time as Compile. When both jobs have no dependencies or an explicit empty list of dependencies they are free to run concurrently rather than being forced to run sequentially.

Empty dependsOn means no dependencies so treat those jobs as parallel candidates when answering pipeline dependency questions.

Personal access token (PAT) is the correct authentication method to register a self hosted Linux build agent when the server and the agent machine are not in the same trusted domain.

A PAT is a user created token that you use instead of integrated Windows authentication. It can authenticate across domain boundaries and it is supplied during the agent configuration so the agent can register with the DevOps Server and join an agent pool. Create the PAT with the appropriate scopes so it can register and manage agents and then provide it when you run the agent setup script.

Alternate credentials are not correct because they are deprecated for Azure DevOps and they rely on basic username and password authentication which is less secure and often disabled. They are not the recommended method for registering self hosted agents across domains.

SSH key pair is not correct because SSH keys are used to authenticate Git or SSH sessions to machines. They are not the mechanism used by the agent configuration process to authenticate and register an agent with Azure DevOps Server.

Client certificate is not correct because client certificates are not the standard or documented method for registering self hosted build agents. Certificates might be used in custom network setups but they are not the expected or supported authentication method for typical agent registration.

When a question mentions machines outside a trusted domain think about token based authentication. Create a PAT with the minimum required scopes and use it during the agent configuration.

The correct option is Azure Boards.

Azure Boards provides Kanban boards, backlogs, work items, and sprint planning which match Trello’s card and board based task management. It is the Azure DevOps service to use when you need to track tasks, progress, and workflows across teams.

Azure Pipelines is focused on continuous integration and continuous delivery and it orchestrates builds and deployments so it does not serve as a Trello equivalent.

Azure Test Plans provides test case management and tools for manual and automated testing and it is not intended for general task boards or backlog management.

Azure Repos is a source control service for Git and Team Foundation Version Control and it stores code repositories rather than offering board and card style task tracking.

When mapping tools focus on the primary function of each product. Match board and card features to Azure Boards and match CI and CD needs to Azure Pipelines.

All Azure questions come from my AZ-400 Udemy course and certificationexams.pro

The correct option is Reader.

Reader grants read level access at the organization scope so the group can view agent pools and the agents registered there without being able to change pool configuration. That aligns with least privilege because members can see and use the available agents for pipelines where project level permissions permit usage while avoiding administrative rights.

Administrator is incorrect because it provides full control over agent pools and agents and therefore exceeds the least privilege requirement by allowing configuration and management actions that are not needed for simple visibility.

Project Contributor is incorrect because that role is scoped to a single project and does not provide organization level visibility of agent pools and agents across the organization.

When a question emphasizes organization level access and least privilege focus on roles that provide read only visibility at the organization scope. Choose the role that allows viewing but not configuration when the task only requires seeing agent pools and agents.