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How can you prepare for the Microsoft AZ-400 Exam?

The Microsoft Learning Platform offers two preparation options for the candidates taking the Microsoft AZ-400 exam. These are free online training resources and paid training courses. Let’s look at these two options in detail.

Microsoft AZ-400 Exam Syllabus Topics:

TopicDetailsWeights
Manage source control- Develop a modern source control strategy
  • integrate/migrate disparate source control systems (e.g., GitHub, Azure Repos)
  • design authentication strategies
  • design approach for managing large binary files (e.g., Git LFS)
  • design approach for cross repository sharing (e.g., Git sub-modules, packages)
  • implement workflow hooks
  • design approach for efficient code reviews (e.g., GitHub code review assignments, schedule reminders, Pull Analytics)

- Plan and implement branching strategies for the source code

  • define Pull Requests (PR) guidelines to enforce work item correlation
  • implement branch merging restrictions (e.g., branch policies, branch protections, manual, etc.)
  • define branch strategy (e.g., trunk based, feature branch, release branch, GitHub flow)
  • design and implement a PR workflow (code reviews, approvals)
  • enforce static code analysis for code-quality consistency on PR
- Configure repositories
  • configure permissions in the source control repository
  • organize the repository with git-tags
  • plan for handling oversized repositories
  • plan for content recovery in all repository states
  • purge data from source control

- Integrate source control with tools

  • integrate GitHub with DevOps pipelines
  • integrate GitHub with identity management solutions (Azure AD)
  • design for GitOps
  • design for ChatOps
  • integrate source control artifacts for human consumption (e.g., Git changelog)
  • integrate GitHub Codespaces
10-15%
Develop a security and compliance plan- Design an authentication and authorization strategy
  • design an access solution (Azure AD Privileged Identity Management (PIM), Azure AD Conditional Access, MFA, Azure AD B2B, etc.)
  • implement Service Principals and Managed Identity
  • design an application access solution using Azure AD B2C
  • configure service connections
- Design a sensitive information management strategy
  • evaluate and configure vault solution (Azure Key Vault, Hashicorp Vault)
  • manage security certificates
  • design a secrets storage and retrieval strategy (KeyVault secrets, GitHub secrets, Azure Pipelines secrets)
  • formulate a plan for deploying secret files as part of a release
- Develop security and compliance
  • automate dependencies scanning for security (container scanning, OWASP)
  • automate dependencies scanning for compliance (licenses: MIT, GPL)
  • assess and report risks
  • design a source code compliance solution (e.g., GitHub Code scanning, GitHub Secretscanning, pipeline-based scans, Git hooks, SonarQube, Dependabot,etc.)

- Design governance enforcement mechanisms

  • implement Azure policies to enforce organizational requirements
  • implement container scanning (e.g., static scanning, malware, crypto mining)
  • design and implement Azure Container Registry Tasks
  • design break-the-glass strategy for responding to security incidents
10-15%
Develop a Site Reliability Engineering (SRE) strategy- Develop an actionable alerting strategy
  • identify and recommend metrics on which to base alerts
  • implement alerts using appropriate metrics
  • implement alerts based on appropriate log messages
  • implement alerts based on application health checks
  • analyze combinations of metrics
  • develop communication mechanism to notify users of degraded systems
  • implement alerts for self-healing activities (e.g., scaling, failovers)
- Design a failure prediction strategy
  • analyze behavior of system with regards to load and failure conditions
  • calculate when a system will fail under various conditions
  • measure baseline metrics for system
  • Leverage Application Insights Smart Detection and Dynamic thresholds in Azure Monitor
- Design and implement a health check
  • analyze system dependencies to determine which dependency should be included in health check
  • calculate healthy response timeouts based on SLO for the service
  • design approach for partial health situations
  • design approach for piecemeal recovery (e.g., to improve recovery time objective strategies)
  • integrate health check with compute environment
  • implement different types of health checks (container liveness, startup, shutdown)

5-10%
Define and implement continuous integration- Design build automation
  • integrate the build pipeline with external tools (e.g., Dependency and security scanning, Code coverage)
  • implement quality gates (e.g., code coverage, internationalization, peer review)
  • design a testing strategy (e.g., integration, load, fuzz, API, chaos)
  • integrate multiple tools (e.g., GitHub Actions, Azure Pipeline, Jenkins)

- Design a package management strategy

  • recommend package management tools (e.g., GitHub Packages, Azure Artifacts, Azure Automation Runbooks Gallery, Nuget, Jfrog, Artifactory)
  • design an Azure Artifacts implementation including linked feeds
  • design versioning strategy for code assets (e.g., SemVer, date based)
  • plan for assessing and updating and reporting package dependencies (GitHub Automated Security Updates, NuKeeper, GreenKeeper)
  • design a versioning strategy for packages (e.g., SemVer, date based)
  • design a versioning strategy for deployment artifacts
- Design an application infrastructure management strategy
  • assess a configuration management mechanism for application infrastructure
  • define and enforce desired state configuration for environments

- Implement a build strategy

  • design and implement build agent infrastructure (include cost, tool selection, licenses, maintainability)
  • develop and implement build trigger rules
  • develop build pipelines
  • design build orchestration (products that are composed of multiple builds)
  • integrate configuration into build process
  • develop complex build scenarios (e.g., containerized agents, hybrid, GPU)

- Maintain build strategy

  • monitor pipeline health (failure rate, duration, flaky tests)
  • optimize build (cost, time, performance, reliability)
  • analyze CI load to determine build agent configuration and capacity

- Design a process for standardizing builds across organization

  • manage self-hosted build agents (VM templates, containerization, etc.)
  • create reuseable build subsystems (YAML templates, Task Groups, Variable Groups, etc.)
20-25%
Develop an Instrumentation Strategy- Design and implement logging
  • assess and Configure a log framework
  • design a log aggregation and storage strategy (e.g., Azure storage)
  • design a log aggregation and query strategy (e.g., Azure Monitor, Splunk)
  • manage access control to logs (workspace-centric/resource-centric)
  • integrate crash analytics (App Center Crashes, Crashlytics)
- Design and implement telemetry
  • design and implement distributed tracing
  • inspect application performance indicators
  • inspect infrastructure performance indicators
  • define and measure key metrics (CPU, memory, disk, network)
  • implement alerts on key metrics (email, SMS, webhooks, Teams/Slack)
  • integrate user analytics (e.g., Application Insights funnels, Visual Studio App Center, TestFlight, Google Analytics)
- Integrate logging and monitoring solutions
  • configure and integrate container monitoring (Azure Monitor, Prometheus, etc.)
  • configure and integrate with monitoring tools (Azure Monitor Application Insights, Dynatrace, New Relic, Naggios, Zabbix)
  • create feedback loop from platform monitoring tools (e.g., Azure Diagnostics extension, Log Analytics agent, Azure Platform Logs, Event Grid)
  • manage Access control to the monitoring platform



5-10%
Define and implement a continuous delivery and release management strategy- Develop deployment scripts and templates
  • recommend a deployment solution (e.g., GitHub Actions, Azure Pipelines, Jenkins, CircleCI, etc.)
  • design and implement Infrastructure as code (ARM, Terraform, PowerShell, CLI)
  • develop application deployment process (container, binary, scripts)
  • develop database deployment process (migrations, data movement, ETL)
  • integrate configuration management as part of the release process
  • develop complex deployments (IoT, Azure IoT Edge, mobile, App Center, DR, multi-region, CDN, sovereign cloud, Azure Stack, etc.)
- Implement an orchestration automation solution
  • combine release targets depending on release deliverable (e.g., Infrastructure, code,assets, etc.)
  • design the release pipeline to ensure reliable order of dependency deployments
  • organize shared release configurations and process (YAML templates, variable groups, Azure App Configuration)
  • design and implement release gates and approval processes
- Plan the deployment environment strategy
  • design a release strategy (blue/green, canary, ring)
  • implement the release strategy (using deployment slots, load balancer configurations, Azure Traffic Manager, feature toggle, etc.)
  • select the appropriate desired state solution for a deployment environment (PowerShell DSC, Chef, Puppet, etc.)
  • plan for minimizing downtime during deployments (VIP Swap, Load balancer, rolling deployments, etc.)
  • design a hotfix path plan for responding to high priority code fixes
10-15%

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Microsoft Designing and Implementing Microsoft DevOps Solutions Sample Questions (Q141-Q146):

NEW QUESTION # 141
You have an Azure DevOps organization named Contoso and an Azure subscription.
You use Azure DevOps to build a containerized app named App1 and deploy App1 to an Azure container instance named ACI1.
You need to restart ACI1 when App1 stops responding.
What should you do?

Answer: B

Explanation:
Azure Container Instances supports liveness probes so that you can configure your containers within your container group to restart if critical functionality is not working.
Reference:
https://docs.microsoft.com/en-us/azure/container-instances/container-instances-liveness-probe


NEW QUESTION # 142
You are configuring Azure Pipelines for three projects in Azure DevOps as shown in the following table.

Which version control system should you recommend for each project? To answer, drag the appropriate version control systems to the correct projects. Each version control system may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation

Project1:Git in Azure Repos
Project2: Github Enterprise
GitHub Enterprise is the on-premises version of GitHub.com. GitHub Enterprise includes the same great set of features as GitHub.com but packaged for running on your organization's local network. All repository data is stored on machines that you control, and access is integrated with your organization's authentication system (LDAP, SAML, or CAS).
Project3: Bitbucket cloud
One downside, however, is that Bitubucket does not include support for SVN but this can be easily amended migrating the SVN repos to Git with tools such as SVN Mirror for Bitbucket .
Note: SVN is a centralized version control system.


NEW QUESTION # 143
You have a project in Azure DevOps that contains a Continuous Integration/Continuous Deployment (CI/CD) pipeline.
You need to enable detailed logging by defining a pipeline variable.
Mow should you configure the variable? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:


NEW QUESTION # 144
You use Azure SQL Database Intelligent Insights and Azure Application Insights foe monitoring.
You need to write ad-hoc Queries against the monitoring data.
Which Query language should you use?

Answer: C

Explanation:
Explanation
Data analysis in Azure SQL Analytics is based on Log Analytics language for your custom querying and reporting.
References: https://docs.microsoft.com/en-us/azure/azure-monitor/insights/azure-sql


NEW QUESTION # 145
You need to configure a cloud service to store the secrets required by the mobile applications to call the share.
What should you include in thesolution? To answer, select the appropriate options m the answer area, NOTE:
Each correct selection is worth one point.

Answer:

Explanation:

Explanation:

Every request made against a storage service must be authorized, unless the request is for a blob or container resource that has been made available for public or signed access. One option for authorizing a request is by using Shared Key.
Scenario: The mobile applications must be able to call the share pricing service of the existing retirement fund management system. Until the system is upgraded, the service will only support basic authentication over HTTPS.
The investment planning applications suite will include one multi-tier web application and two iOS mobile application. One mobile application will be used by employees; the other will be used by customers.
References:https://docs.microsoft.com/en-us/rest/api/storageservices/authorize-with-shared-key


NEW QUESTION # 146
......

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