Question 1

You are configuring project metrics for dashboards in Azure DevOps. You want a chart that measures the time taken to complete work items after they become active. Which widget should you use?

A. Cumulative Flow Diagram
B. Burnup
C. Cycle time
D. Burndown

Correct Answer: C. Cycle time
Explanation: The Cycle Time widget measures how long work items take to go from active to completed. It’s useful for evaluating development efficiency.

Question 2

You are managing build and release pipelines in Azure DevOps. Management wants to automate user and license management. Which task cannot be automated?

A. Group membership changes
B. License assignment
C. Assigning entitlements
D. License procurement

Correct Answer: D. License procurement
Explanation: While most administrative tasks can be automated through Azure DevOps APIs, the actual purchasing (procurement) of licenses still requires manual interaction with a Microsoft partner or portal.

Question 3

You are designing a CI/CD strategy for your application in Azure DevOps. You want to detect code vulnerabilities before the code is deployed. Which tool should you use?

A. Penetration testing
B. Static code analysis
C. Threat modeling
D. Dynamic code analysis

Correct Answer: B. Static code analysis
Explanation: Static code analysis scans source code for vulnerabilities without executing it, making it ideal for early detection during CI.

Question 4

Your company is migrating from TFS 2013 to Azure DevOps Services. You want to preserve changeset dates and work item revision history. What’s the best approach?

A. Use the TFS Java SDK
B. Use the TFS Database Import Service
C. Upgrade PowerShell Core
D. Use the TFS Integration Platform

Correct Answer: B. Use the TFS Database Import Service
Explanation: This method preserves historical data and is designed for a full-fidelity migration from TFS to Azure DevOps Services.

Question 5

You want to monitor the performance and availability of your application in production. Which Azure service should you use?

A. Azure Monitor
B. Azure Boards
C. Azure Test Plans
D. Azure Repos

Correct Answer: A. Azure Monitor
Explanation: Azure Monitor provides end-to-end observability and insights into the performance and health of your applications and infrastructure.

Question 6

Scenario:
You’re configuring a CI/CD pipeline in Azure DevOps for a .NET application. You want to ensure that code changes are automatically built and tested before being merged into the main branch.

Which feature should you use to enforce this process?

A. Branch policies
B. Release gates
C. Deployment groups
D. Service connections

Correct Answer: A. Branch policies
Explanation:
Branch policies in Azure DevOps allow you to enforce quality checks on your code before it’s merged into a branch. This includes requiring a successful build, code reviews, and passing tests, ensuring that only validated code is integrated.

Question 7

Scenario:
Your team wants to implement Infrastructure as Code (IaC) to manage Azure resources. They prefer using a declarative language that’s native to Azure.

Which tool should they choose?

A. Terraform
B. Azure Resource Manager (ARM) templates
C. Ansible
D. Chef

Correct Answer: B. Azure Resource Manager (ARM) templates
Explanation:
ARM templates are Azure’s native IaC solution, allowing you to define and deploy infrastructure using JSON in a declarative manner. They integrate seamlessly with Azure services.

Question 8

Scenario:
You need to monitor the performance and availability of your application in production. The solution should provide insights into request rates, response times, and failure rates.

Which Azure service should you use?

A. Azure Monitor
B. Azure Application Insights
C. Azure Log Analytics
D. Azure Service Health

Correct Answer: B. Azure Application Insights
Explanation:
Application Insights is an application performance management service that provides detailed telemetry data, including request rates, response times, and failure rates, helping you detect and diagnose issues.

Question 9

Scenario:
Your organization wants to implement a strategy to manage technical debt and ensure that code quality improves over time.

Which practice should be adopted to achieve this goal?

A. Continuous deployment
B. Feature toggles
C. Code reviews
D. Trunk-based development

Correct Answer: C. Code reviews
Explanation:
Code reviews involve examining code changes by peers before integration. This practice helps identify potential issues, ensures adherence to coding standards, and reduces technical debt over time.

Question 10

Scenario:
You’re tasked with setting up a deployment strategy that allows for testing new features in production with a subset of users before a full rollout.

Which deployment strategy should you implement?

A. Blue-green deployment
B. Canary deployment
C. Rolling deployment
D. Big bang deployment

Correct Answer: B. Canary deployment
Explanation:
Canary deployments release new features to a small subset of users in production. This approach allows for monitoring and feedback before a wider rollout, reducing the risk of widespread issues.

Question 11

Scenario:
Your team uses Azure DevOps and wants to automate the process of approving deployments to production based on specific criteria.

Which feature should you use?

A. Manual intervention
B. Pre-deployment approvals
C. Release gates
D. Environment triggers

Correct Answer: C. Release gates
Explanation:
Release gates in Azure DevOps allow you to automate checks (like monitoring alerts or work item states) before a deployment proceeds, ensuring that specific criteria are met without manual intervention.

Question 12

Scenario:
You need to ensure that secrets, such as API keys and connection strings, are securely stored and accessed during your pipeline executions.

Which Azure service should you integrate with your pipelines?

A. Azure Key Vault
B. Azure Storage
C. Azure Blob Storage
D. Azure App Configuration

Correct Answer: A. Azure Key Vault
Explanation:
Azure Key Vault is designed to securely store and manage sensitive information like secrets, keys, and certificates. Integrating it with pipelines ensures that secrets are accessed securely during deployments.

Question 13

Scenario:
Your organization wants to track the flow of work from idea to production, ensuring traceability across the development lifecycle.

Which Azure DevOps feature provides this capability?

A. Azure Boards
B. Azure Repos
C. Azure Pipelines
D. Azure Artifacts

Correct Answer: A. Azure Boards
Explanation:
Azure Boards offers tools for planning, tracking, and discussing work across teams. It provides traceability by linking work items to code changes, builds, and releases.

Question 14

Scenario:
You want to implement a process where infrastructure changes are reviewed and approved before being applied, ensuring compliance and reducing errors.

Which practice supports this requirement?

A. Continuous deployment
B. Infrastructure as Code (IaC)
C. Pull request workflows
D. Feature branching

Correct Answer: C. Pull request workflows
Explanation:
Pull request workflows allow team members to propose changes, which are then reviewed and approved before integration. This process is essential for maintaining code quality and compliance, especially for infrastructure changes.

Question 15

Scenario:
Your team is adopting a microservices architecture and wants to ensure that each service can be developed, deployed, and scaled independently.

Which approach aligns with this requirement?

A. Monolithic architecture
B. Shared database per service
C. Independent deployment pipelines
D. Single repository for all services

Correct Answer: C. Independent deployment pipelines
Explanation:
Having independent deployment pipelines for each microservice ensures that services can be developed, tested, and deployed separately, providing flexibility and scalability.

Question 16

Scenario:
You’re leading a DevOps team and want to measure how frequently your team is deploying code into production.

Which metric should you track?

A. Mean Time to Repair (MTTR)
B. Lead Time
C. Deployment Frequency
D. Change Failure Rate

Correct Answer: C. Deployment Frequency
Explanation:
Deployment Frequency measures how often your team delivers code to production, indicating how quickly new features or fixes are released.

Question 17

Scenario:
Your team wants to minimize downtime during deployments by routing traffic between old and new environments.

Which deployment strategy should you use?

A. Blue-green deployment
B. Rolling deployment
C. Recreate deployment
D. Big bang deployment

Correct Answer: A. Blue-green deployment
Explanation:
Blue-green deployment uses two environments — one active and one idle — allowing traffic to switch instantly with minimal downtime.

Question 18

Scenario:
You are setting up Azure Pipelines and need to store pipeline artifacts for later use in other stages.

Where should you store them?

A. Azure Boards
B. Azure Repos
C. Azure Artifacts
D. Pipeline artifact storage

Correct Answer: D. Pipeline artifact storage
Explanation:
Pipeline artifacts are used to pass data between stages. Azure Pipelines provides built-in storage specifically for these artifacts.

Question 19

Scenario:
To maintain high code quality, your team wants a tool to automatically scan code for vulnerabilities during development.

Which tool should you use?

A. SonarQube
B. Azure Test Plans
C. Azure Artifacts
D. Azure Boards

Correct Answer: A. SonarQube
Explanation:
SonarQube integrates with Azure DevOps to perform static code analysis, identifying bugs, vulnerabilities, and code smells.

Question 20

Scenario:
You need to track the average time it takes from the start of development to production deployment.

Which metric should you monitor?

A. Cycle time
B. Change Failure Rate
C. Deployment Frequency
D. Mean Time to Repair

Correct Answer: A. Cycle time
Explanation:
Cycle time measures the total time it takes for a code change to be developed, tested, and deployed into production.

Question 21

Scenario:
You want to implement a secure method for accessing repositories and services in Azure Pipelines without exposing credentials.

What should you use?

A. Service principal
B. Personal access token
C. Managed Identity
D. Secure files

Correct Answer: C. Managed Identity
Explanation:
Managed Identities are secure and recommended for authenticating within Azure services without hardcoding credentials.

Question 22

Scenario:
A developer accidentally pushes a secret key to a Git repository. What’s the best response?

What should you do?

A. Delete the repository
B. Revoke and regenerate the secret
C. Remove the commit
D. Force-push the main branch

Correct Answer: B. Revoke and regenerate the secret
Explanation:
Once a secret is exposed, it must be revoked and replaced immediately to prevent unauthorized access.

Question 23

Scenario:
You want to create reusable pipeline logic across multiple projects in Azure DevOps.

What should you use?

A. Task groups
B. Variable groups
C. Service connections
D. Deployment groups

Correct Answer: A. Task groups
Explanation:
Task groups allow you to encapsulate a set of build or release tasks into a reusable component shared across pipelines.

Question 24

Scenario:
You need to test infrastructure changes in isolation before applying them to production.

What is the best approach?

A. Test in production
B. Create a staging environment
C. Use canary deployment
D. Use feature flags

Correct Answer: B. Create a staging environment
Explanation:
A staging environment mirrors production and allows safe testing of changes before deployment to live systems.

Question 25

Scenario:
You want to automate deployment validation by checking if required work items are closed before allowing a release.

Which Azure DevOps feature should you use?

A. Release gates
B. Pre-deployment conditions
C. Manual intervention
D. Branch policies

Correct Answer: A. Release gates
Explanation:
Release gates allow automatic validation steps, like verifying work item states, before proceeding with a deployment.

Question 26

Scenario:
Your team uses Azure Pipelines and wants to reduce pipeline execution time by running jobs in parallel.

Which feature allows this?

A. Stages
B. Deployment jobs
C. Matrix strategy
D. Conditions

Correct Answer: C. Matrix strategy
Explanation:
The matrix strategy allows you to run multiple jobs in parallel with different configurations (e.g., OS or dependency versions), reducing overall pipeline execution time.

Question 27

Scenario:
You want to ensure each release to production has been manually reviewed by a manager before deployment.

Which feature should you use?

A. Release gates
B. Pre-deployment approval
C. Environment checks
D. Conditions

Correct Answer: B. Pre-deployment approval
Explanation:
Pre-deployment approvals require specific users or groups to approve a release before it proceeds to the next environment.

Question 28

Scenario:
You need to deploy to multiple Azure subscriptions from the same Azure DevOps project securely.

What should you configure?

A. Deployment group
B. Service connection
C. Variable group
D. Agent pool

Correct Answer: B. Service connection
Explanation:
A service connection provides secure access to external services, including multiple Azure subscriptions, enabling deployments from Azure DevOps.

Question 29

Scenario:
Your team wants to integrate security into the pipeline by scanning open-source dependencies for vulnerabilities.

Which tool should you use?

A. WhiteSource Bolt
B. Azure Policy
C. Application Insights
D. Azure Monitor

Correct Answer: A. WhiteSource Bolt
Explanation:
WhiteSource Bolt integrates with Azure DevOps to scan open-source components for security vulnerabilities and license compliance.

Question 30

Scenario:
You want to make sure that only tested and approved code is merged into the main branch.

Which Azure DevOps feature ensures this?

A. Branch policies
B. Service connections
C. Multi-stage pipelines
D. Pull requests

Correct Answer: A. Branch policies
Explanation:
Branch policies enforce quality checks, such as successful builds and code reviews, before merging changes into a branch.

Question 31

Scenario:
You want to track which developer introduced a bug into the codebase.

Which Azure DevOps feature helps you trace code changes to work items?

A. Azure Boards
B. Git blame
C. Code Lens
D. Pull requests

Correct Answer: C. Code Lens
Explanation:
Code Lens in Azure DevOps shows who changed a line of code and links it to associated work items, helping trace the origin of bugs.

Question 32

Scenario:
You’re planning to scale out your build agents for faster CI jobs in a self-hosted environment.

What should you configure?

A. Deployment group
B. Agent pool
C. Task group
D. Variable group

Correct Answer: B. Agent pool
Explanation:
Agent pools group multiple build agents, allowing Azure Pipelines to distribute jobs across them and scale CI builds.

Question 33

Scenario:
Your team needs to manage different configuration values for dev, staging, and production environments in pipelines.

Which feature is best for this?

A. Secure files
B. Task groups
C. Variable groups
D. Artifact filters

Correct Answer: C. Variable groups
Explanation:
Variable groups allow you to store environment-specific configuration values and reuse them across multiple pipelines.

Question 34

Scenario:
You are asked to ensure that your production infrastructure remains compliant with internal security policies.

What Azure service helps enforce infrastructure compliance?

A. Azure Key Vault
B. Azure Policy
C. Azure App Configuration
D. Azure Monitor

Correct Answer: B. Azure Policy
Explanation:
Azure Policy enables governance by allowing you to enforce specific rules and effects over your resources, ensuring compliance.

Question 35

Scenario:
You need to collect feedback from users during early stages of a feature release.

Which strategy is most appropriate?

A. Canary release
B. A/B testing
C. Blue-green deployment
D. Dark launch

Correct Answer: B. A/B testing
Explanation:
A/B testing presents different users with different versions of a feature to collect feedback and determine which version performs better.

Question 36

Scenario:
You want to allow developers to manage secrets during deployment without giving them access to production resources.

What should you configure?

A. Azure RBAC on Key Vault
B. Managed identity
C. Role assignment on Azure DevOps project
D. Release gate

Correct Answer: A. Azure RBAC on Key Vault
Explanation:
Azure RBAC on Key Vault allows you to assign fine-grained permissions, so developers can retrieve secrets without accessing broader production resources.

Question 37

Scenario:
You need to monitor application health and detect issues like slow response times or high failure rates.

Which Azure service should you use?

A. Azure Monitor
B. Azure Log Analytics
C. Application Insights
D. Azure Alerts

Correct Answer: C. Application Insights
Explanation:
Application Insights provides performance monitoring and diagnostics for your applications, including tracking requests, dependencies, and exceptions.

Question 38

Scenario:
You want to ensure that every commit triggers a build automatically in Azure DevOps.

What should you configure?

A. Scheduled triggers
B. Pull request validation
C. Continuous integration
D. Manual triggers

Correct Answer: C. Continuous integration
Explanation:
Continuous integration ensures that every commit to the repository automatically triggers a build and runs tests.

Question 39

Scenario:
You want to restrict access to production pipeline variables and secrets.

What should you use?

A. YAML templates
B. Azure Key Vault
C. Variable groups with security
D. Inline variables

Correct Answer: C. Variable groups with security
Explanation:
Azure DevOps allows you to secure variable groups, limiting who can view or modify them, protecting sensitive values during deployments.

Question 40

Scenario:
You want to integrate code quality checks into the CI process using static code analysis.

What is the most suitable approach?

A. Add a build step to run ESLint
B. Use Azure Policy
C. Add manual intervention
D. Use release gate

Correct Answer: A. Add a build step to run ESLint
Explanation:
Adding a step for static analysis tools like ESLint (for JavaScript/TypeScript) or other linters helps ensure code quality during the CI process.

Question 41

Scenario:
You want to enforce infrastructure compliance across multiple subscriptions.

What should you use?

A. Azure Monitor
B. Azure Policy initiative
C. Azure Key Vault
D. Blueprints

Correct Answer: B. Azure Policy initiative
Explanation:
A policy initiative is a group of Azure policies that can be applied to multiple scopes to enforce infrastructure compliance at scale.

Question 42

Scenario:
Your team wants to experiment with new features without impacting existing users.

What strategy supports this?

A. A/B testing
B. Feature flags
C. Blue-green deployment
D. Rolling deployment

Correct Answer: B. Feature flags
Explanation:
Feature flags allow teams to enable or disable features at runtime without deploying new code, making experimentation safer.

Question 43

Scenario:
You are planning to track downtime and alert your team in case of production outages.

Which Azure service helps with this?

A. Azure Monitor Alerts
B. Azure Policy
C. Azure Boards
D. Azure Pipelines

Correct Answer: A. Azure Monitor Alerts
Explanation:
Azure Monitor Alerts notify you based on metrics and logs, helping teams detect and respond quickly to production issues.

Question 44

Scenario:
You’re managing multiple environments and want to prevent unauthorized deployments to production.

What is the best way to achieve this in Azure DevOps?

A. Lock pipeline settings
B. Configure branch policy
C. Set environment approvals
D. Use deployment conditions

Correct Answer: C. Set environment approvals
Explanation:
Environment approvals restrict deployments by requiring authorized personnel to approve releases to sensitive environments like production.

Question 45

Scenario:
Your project uses multiple repositories but you want to run a single CI pipeline that reacts to changes across all of them.

Which feature should you use?

A. Multi-repo triggers in YAML
B. Variable templates
C. Resource triggers
D. Scheduled builds

Correct Answer: A. Multi-repo triggers in YAML
Explanation:
Multi-repo triggers let a YAML pipeline react to changes in multiple repositories, useful when a project spans several codebases.

Question 46

Scenario:
You are asked to improve the deployment process for your application, specifically focusing on minimizing the downtime of production services during deployment.

Which deployment strategy should you use?

A. Blue-green deployment
B. Canary deployment
C. Rolling deployment
D. Recreate deployment

Correct Answer: A. Blue-green deployment
Explanation:
Blue-green deployment involves two identical environments (blue and green). The active environment is switched to the new version with minimal downtime, ensuring continuous service availability.

Question 47

Scenario:
Your application needs to perform background tasks such as image processing after a user uploads a file.

Which Azure service should you use to manage these background tasks?

A. Azure Logic Apps
B. Azure Functions
C. Azure App Service
D. Azure DevOps

Correct Answer: B. Azure Functions
Explanation:
Azure Functions is a serverless compute service that is ideal for handling background tasks like processing uploaded files, triggered by events such as file uploads.

Question 48

Scenario:
Your team wants to deploy infrastructure using an infrastructure-as-code (IaC) approach, and you’re already using Azure DevOps.

Which tool should you use?

A. Azure Resource Manager (ARM) templates
B. Terraform
C. Ansible
D. Docker

Correct Answer: A. Azure Resource Manager (ARM) templates
Explanation:
ARM templates are Azure’s native IaC solution, allowing you to define resources using JSON, and they integrate directly with Azure DevOps for deployments.

Question 49

Scenario:
You need to ensure that your Azure DevOps pipelines provide consistent builds and are not dependent on specific developer environments.

What should you use to achieve this?

A. Self-hosted agents
B. Hosted agents
C. Azure Artifacts
D. Agent pools

Correct Answer: B. Hosted agents
Explanation:
Hosted agents are pre-configured virtual machines provided by Azure DevOps, ensuring consistency across builds regardless of individual developer environments.

Question 50

Scenario:
You want to automatically deploy code changes to production after successful tests.

Which pipeline feature in Azure DevOps should you use?

A. Continuous integration
B. Continuous delivery
C. Manual intervention
D. Scheduled triggers

Correct Answer: B. Continuous delivery
Explanation:
Continuous delivery automates the deployment of code changes to production after successful tests, ensuring that new code is available to users as soon as it passes validation.

Question 51

Scenario:
You are setting up a pipeline and need to use reusable components across multiple projects, such as shared deployment steps.

What should you use?

A. Pipeline templates
B. Variable groups
C. Task groups
D. Release gates

Correct Answer: A. Pipeline templates
Explanation:
Pipeline templates allow you to define reusable pipeline steps that can be shared across multiple projects, improving maintainability and consistency.

Question 52

Scenario:
Your team wants to ensure that every deployment is validated through automated testing before it reaches production.

Which strategy should you use?

A. Continuous integration
B. Continuous testing
C. Feature flags
D. Blue-green deployment

Correct Answer: B. Continuous testing
Explanation:
Continuous testing ensures that each deployment is validated through automated tests, improving quality and catching issues before reaching production.

Question 53

Scenario:
You need to ensure that every commit to your repository is checked for security vulnerabilities.

Which tool can help you achieve this?

A. SonarQube
B. WhiteSource Bolt
C. Azure Pipelines Security Policy
D. Azure Security Center

Correct Answer: B. WhiteSource Bolt
Explanation:
WhiteSource Bolt integrates with Azure DevOps to scan your code for security vulnerabilities in open-source libraries, helping to detect issues early.

Question 54

Scenario:
You want to ensure that your code adheres to specific style guidelines and automatically fails the build if any style violations are detected.

Which tool should you use?

A. ESLint
B. Azure Key Vault
C. Application Insights
D. Terraform

Correct Answer: A. ESLint
Explanation:
ESLint is a static code analysis tool that can enforce style guidelines and prevent violations, and it can be integrated into your build pipeline.

Question 55

Scenario:
Your team is developing multiple microservices and needs to deploy them independently with minimal downtime.

Which deployment strategy is best suited for this?

A. Canary deployment
B. Blue-green deployment
C. Rolling deployment
D. Feature toggles

Correct Answer: C. Rolling deployment
Explanation:
Rolling deployment gradually replaces instances of the old version with the new one, minimizing downtime and allowing you to update services independently.

Question 56

Scenario:
You want to ensure that every change in your code repository triggers a pipeline and performs static code analysis before deployment.

Which feature should you use to implement this?

A. Continuous integration
B. Continuous delivery
C. Branch policies
D. Pull request validation

Correct Answer: A. Continuous integration
Explanation:
Continuous integration (CI) ensures that every change pushed to the repository triggers a pipeline, running tests and static analysis before deployment.

Question 57

Scenario:
Your team is concerned about scaling your infrastructure automatically based on traffic patterns.

Which Azure service should you use?

A. Azure Load Balancer
B. Azure Functions
C. Azure Autoscale
D. Azure App Service

Correct Answer: C. Azure Autoscale
Explanation:
Azure Autoscale automatically adjusts the number of instances for a service based on demand, ensuring that you have enough resources during high traffic and save costs during low traffic.

Question 58

Scenario:
You need to set up a pipeline that automatically deploys code to a staging environment for testing but requires manual approval to deploy to production.

Which feature should you use?

A. Pre-deployment approval
B. Post-deployment approval
C. Approval gates
D. Release gates

Correct Answer: A. Pre-deployment approval
Explanation:
Pre-deployment approval requires manual approval from designated users before deploying to a specific environment (like production), ensuring control over the release.

Question 59

Scenario:
You want to store build artifacts in a centralized location to be used across multiple pipelines.

Which Azure DevOps feature would you use?

A. Azure Artifacts
B. Azure Repos
C. Pipeline Artifacts
D. Variable groups

Correct Answer: C. Pipeline Artifacts
Explanation:
Pipeline artifacts are files or data produced during the build process, and they are stored in a centralized location for use across other stages or pipelines.

Question 60

Scenario:
Your team has been asked to ensure that each code change is validated for security vulnerabilities before merging.

Which approach should you implement?

A. Continuous security scanning
B. Branch policies
C. Automated code formatting
D. Manual code review

Correct Answer: A. Continuous security scanning
Explanation:
Continuous security scanning automatically checks each code change for security vulnerabilities as part of the CI pipeline, ensuring issues are detected early

Question 61

Scenario:
You need to configure a pipeline to trigger only when a specific branch is updated.

Which feature would you configure?

A. YAML triggers
B. Scheduled triggers
C. Conditional expressions
D. Branch policies

Correct Answer: A. YAML triggers
Explanation:
YAML triggers in a pipeline definition allow you to specify which branches should trigger the pipeline, giving you fine-grained control over when the pipeline runs.

Question 62

Scenario:
Your team is using multiple environments (dev, staging, production) and needs to ensure a smooth promotion of changes from one environment to another.

Which Azure DevOps feature should you use?

A. Multi-stage pipelines
B. Feature flags
C. Deployment slots
D. Azure Monitor

Correct Answer: A. Multi-stage pipelines
Explanation:
Multi-stage pipelines allow you to define multiple environments and stages (dev, staging, production), automating deployments and ensuring a smooth transition of changes through each environment.

Question 63

Scenario:
Your application requires the ability to handle background processing tasks such as sending emails after user registration.

Which Azure service would be most appropriate?

A. Azure Functions
B. Azure App Service
C. Azure Event Grid
D. Azure Logic Apps

Correct Answer: A. Azure Functions
Explanation:
Azure Functions is ideal for background tasks that are event-driven, such as sending emails or processing data asynchronously.

Question 64

Scenario:
Your application has a lot of traffic, and you want to distribute the load evenly between two data centers.

Which Azure service will help you manage this?

A. Azure Traffic Manager
B. Azure Load Balancer
C. Azure Application Gateway
D. Azure Front Door

Correct Answer: A. Azure Traffic Manager
Explanation:
Azure Traffic Manager is a DNS-based global traffic distribution service that directs user requests to different data centers based on routing policies, balancing the load between them.

Question 65

Scenario:
You need to enforce a specific coding standard and ensure that all pull requests adhere to it before merging into the main branch.

Which feature should you use?

A. Azure DevOps Work Items
B. Branch policies
C. Git hooks
D. Continuous delivery

Correct Answer: B. Branch policies
Explanation:
Branch policies enforce checks on code quality, such as successful builds, code reviews, and adherence to coding standards before merging into protected branches like the main branch.