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Microsoft AZ-400 Exam Syllabus Topics:

Facilitate communication and collaboration- Communicate deployment and release information with business stakeholders
  • create dashboards combining boards, pipelines (custom dashboards on Azure DevOps)
  • design a cost management communication strategy
  • integrate release pipeline with work item tracking (e.g., AZ DevOps, Jira, ServiceNow)
  • integrate GitHub as repository with Azure Boards
  • communicate user analytics

- Generate DevOps process documentation

  • design onboarding process for new employees
  • assess and document external dependencies (e.g., integrations, packages)
  • assess and document artifacts (version, release notes)

- Automate communication with team members

  • integrate monitoring tools with communication platforms (e.g., Teams, Slack, dashboards)
  • notify stakeholders about key metrics, alerts, severity using communication and project management platforms (e.g., Email, SMS, Slack, Teams, ServiceNow, etc.)
  • integrate build and release with communication platforms (e.g., build fails, release fails)
  • integrate GitHub pull request approvals via mobile apps

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
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)

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


The Microsoft AZ-400 exam is designed for DevOps engineers who want to accelerate their knowledge to the expert level.

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How to Register For Exam AZ-400: Designing and Implementing Microsoft DevOps Solutions?

Exam Register Link: https://examregistration.microsoft.com/?locale=en-us&examcode=AZ-400&examname=Exam%20AZ-400:%20Designing%20and%20Implementing%20Microsoft%20DevOps%20Solutions&returnToLearningUrl=https%3A%2F%2Fdocs.microsoft.com%2Flearn%2Fcertifications%2Fexams%2Faz-400

Microsoft Designing and Implementing Microsoft DevOps Solutions Sample Questions (Q168-Q173):

You plan to create alerts that will be triggered based on the page load performance of a home page.
You have the Application Insights log query shown in the following exhibit.
Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic.
NOTE: Each correct selection is worth one point.


Timeline Description automatically generated with low confidence
Box 1: percentile_duration_95
Box 2: success
For example -
| project name, url, success
| where success == "False"
This will return all the failed requests in my App Insights within the specified time range.

You have an Azure Resource Manager template that deploys a multi-tier application.
You need to prevent the user who performs the deployment from viewing the account credentials and connection strings used by the application.
What should you use?

  • A. an Azure Storage table
  • B. a Web.config file
  • C. an Azure Resource Manager parameter file
  • D. an Appsettings.json files
  • E. Azure Key Vault

Answer: E

When you need to pass a secure value (like a password) as a parameter during deployment, you can retrieve the value from an Azure Key Vault. You retrieve the value by referencing the key vault and secret in your parameter file. The value is never exposed because you only reference its key vault ID. The key vault can exist in a different subscription than the resource group you are deploying to.
References: https://docs.microsoft.com/en-us/azure/azure-resource-manager/resource-manager-keyvault-parameter

Which package feed access levels should be assigned to the Developers and Team Leaders groups for the investment planning applications suite? To answer, drag the appropriate access levels to the correct groups. Each access level 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.


Box 1: Reader
Members of a group named Developers must be able to install packages.
Feeds have four levels of access: Owners, Contributors, Collaborators, and Readers. Owners can add any type of identity-individuals, teams, and groups-to any access level.
Box 2: Owner
Members of a group named Team Leaders must be able to create new packages and edit the permissions of package feeds.
Existing Environment
Contoso, Ltd. is a manufacturing company that has a main office in Chicago.
Contoso plans to improve its IT development and operations processes implementing Azue DevOps principles. Contoso has an Azure subscription and creates an Azure DevOPs organization.
The Azure DevOps organization includes:
* The Docker extension
* A deployment pool named Pool7 that contains 10 Azure virtual machines that run Windows Server 2016.
The Azure subscription contains an Azure Automation account.
Planned Changes
Contoso plans to create projects in Azure DevOps as shown in the following table.
Technical Requirements
Contoso identities the following technical requirements:
* Implement build agents rot Project 1.
* Whenever possible, use Azure resources
* Avoid using deprecated technologies
* Implement a code flow strategy for Project2 that will:
* Enable Team 2 to submit pull requests for Project2.
* Enable Team 2 to work independently on changes to a copy of Project?
* Ensure that any intermediary changes performed by Tram2 on a copy of Project2 will be subject to the same restrictions as the ones defied in the build policy of Project2.
* Whenever possible. Implement automation and minimize administrative effort.
* Implement Protect3, Project5, Project6, and Project7 based on the planned changes.
* Implement Project4 and configure the project to push Docker images to Azure Container Reentry.

Your company is building a new solution in Java.
The company currently uses a SonarQube server to analyze the code of .NET solutions.
You need to analyze and monitor the code quality of the Java solution.
Which task types should you add to the build pipeline?

  • A. Gulp
  • B. Octopus
  • C. Gradle
  • D. Chef

Answer: C

SonarQube is a set of static analyzers that can be used to identify areas of improvement in your code. It allows you to analyze the technical debt in your project and keep track of it in the future. With Maven and Gradle build tasks, you can run SonarQube analysis with minimal setup in a new or existing Azure DevOps Services build task.

You have a project in Azure DevOps that contains a release pipeline. The pipeline contains two stages named QA and Prod. QA deploys code to an Azure web app named webapp1. Prod deploys code to an Azure web app named webapp2.
You need to ensure that code deployments to webapp2 are blocked if Azure Application Insights generates Failed requests alerts following the deployment of new code to webapp1.
What should you do for each stage? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.




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