Expected AZ-801 Exam Topics, as suggested by Microsoft :

• Module 1: Secure Windows Server On-Premises and Hybrid Infrastructures: This topic equips Microsoft Administrators with the skills to secure Windows Server operating systems and hybrid Active Directory infrastructures. It provides a thorough understanding of securing networking, storage, and remediation of security issues using Azure services. This segment ensures mastery in safeguarding both on-premises and hybrid setups.
• Module 2: Implement and Manage Windows Server High Availability: Microsoft Administrators will explore implementing and managing Windows Server failover clusters and Storage Spaces Direct. The focus is on ensuring uninterrupted operations and resilience, reinforcing critical high-availability techniques for enterprise infrastructure.
• Module 3: Implement Disaster Recovery: This section prepares Microsoft Administrators to manage Windows Server backup and recovery processes. It covers implementing Azure Site Recovery and using Hyper-V replicas, offering expertise in protecting virtual machines and minimizing downtime during disasters.
• Module 4: Migrate Servers and Workloads: Administrators delve into migrating on-premises storage, servers, and workloads to Azure or newer Windows Server versions. This includes upgrading IIS workloads and transitioning Active Directory infrastructures to Windows Server 2022 AD DS, fostering seamless and modernized systems integration.
• Module 5: Monitor and Troubleshoot Windows Server Environments: This topic emphasizes monitoring Windows Server using built-in tools and Azure services. Microsoft Administrators gain the ability to troubleshoot networking, virtual machines, and Active Directory issues across on-premises and hybrid environments, ensuring optimal system performance and reliability.

• Module1: Introduction to Git and GitHub: This section of the exam measures skills of Junior Developers and Platform Support Specialists and covers the basic understanding of Git and GitHub. It explains what Git is and why it is used, the fundamental Git workflow, and concepts related to repositories including their local and remote distinctions. Candidates learn essential Git commands such as initializing and cloning repositories, adding and committing changes, pushing and pulling updates, and branching and merging. It also covers navigating GitHub by creating accounts, managing repositories, understanding its interface, and working with issues and pull requests.
• Module 2: Working with GitHub Repositories: This domain targets Repository Administrators and Content Managers, focusing on managing repository settings and permissions. Candidates learn to configure repositories, use templates, and effectively manage files by adding, editing, and deleting. The domain also addresses versioning of files and the use of GitHub Desktop for streamlined file management tasks within repositories.
• Module 3: Collaboration Features: This section measures skills of Software Engineers and Team Leads and covers collaborative workflows using GitHub. It includes forking repositories, creating and managing pull requests, reviewing and merging code changes, and using GitHub Actions to support CI/CD pipelines. Candidates also explore project management features such as creating and managing issues, using labels, milestones, and project boards, and tracking progress through GitHub Projects.
• Module 4: Modern Development: This domain assesses abilities of DevOps Engineers and Continuous Integration Specialists in implementing modern development practices. It emphasizes understanding DevOps principles and leveraging GitHub Actions for automation and CI/CD pipeline implementation. Candidates also learn GitHub’s tools and best practices for conducting and managing code reviews.
• Module 5: Project Management: This section is designed for Project Coordinators and Product Managers and focuses on using GitHub Projects for project management. Candidates learn to create and manage GitHub Projects, utilize project boards for organizing tasks, and integrate project workflows with issues and pull requests to maintain project visibility and progress.
• Module 6: Privacy, Security, and Administration: This domain measures skills of Security Administrators and Organization Managers in securing and administering GitHub environments. It covers ensuring repository security through branch protection rules, using security tools like Dependabot, managing access and permissions at repository and organization levels, creating and managing organizations, setting up organization-level security, and overseeing teams and members.
• Module 7: Benefits of the GitHub Community: This section targets Community Managers and Open Source Contributors, focusing on engaging with the GitHub community. Candidates learn to participate in open source projects, utilize GitHub Discussions for collaboration and support, and contribute meaningfully to community-driven projects.

Expected GH-300 Exam Topics, as suggested by Microsoft :

• Module 1: Responsible :This section of the exam measures skills of AI Ethics Officers and Risk Managers and covers the responsible and ethical usage of AI technologies. It explains the risks and limitations associated with generative AI tools, including biases in training data and the need to validate AI outputs. Candidates learn how to operate AI responsibly by identifying potential harms such as bias, fairness, privacy concerns, and mitigating these harms by applying ethical AI principles.
• Module 2: GitHub Copilot Plans and Feature: This domain targets Product Managers and DevOps Engineers and focuses on understanding the various GitHub Copilot subscription plans like Individual, Business, and Enterprise, including distinctions and management features. It covers how Copilot is integrated into IDEs, different triggering methods for code suggestions, organizational policy management, subscription administration via API, and effective use of Copilot Chat and Knowledge Bases. Candidates also learn about CLI usage and configuration.
• Module 3: How GitHub Copilot Works and Handles Data: Designed for Machine Learning Engineers and Data Privacy Specialists, this section covers the data lifecycle and processing behind Copilot’s code suggestions. It explains how context is gathered, prompts constructed, responses generated, and post-processed through proxy services. Candidates understand Copilot’s data policies, handling of inputs, and limitations such as context window size and data age influencing suggestion relevance.
• Topic 4: Domain 4: Prompt Crafting and Prompt Engineering This section measures skills of Software Developers and AI Interaction Designers in effectively crafting prompts to optimize Copilot’s output. It reviews foundational concepts such as prompt components, the role of language in prompting, zero-shot vs. few-shot prompting, and how chat history influences responses. Best practices and engineering principles for prompt design and training methods are also covered.
• Module 5: Developer Use Cases for AI: Targeting Software Engineers and Technical Leads, this domain elaborates on how AI improves developer productivity across common tasks like learning new languages, translation, documentation, debugging, data science, and refactoring. It discusses Copilot’s support in software development lifecycle management and highlights its limitations. Use of the productivity API to track Copilot’s impact is also included.
• Module 6: Domain 6: Testing with GitHub Copilot: This section measures abilities of QA Engineers and Test Automation Specialists to use Copilot for test generation, including unit and integration tests. It explains how Copilot can identify edge cases and assist in writing assertions. The domain also covers different Copilot subscription SKUs, privacy considerations, organizational code suggestion settings, and configuration files related to Copilot.
• Module 7: Privacy Fundamentals and Context Exclusions: This domain focuses on Security Engineers and Compliance Officers and addresses improving code quality with Copilot’s test suggestions and security optimizations. It covers identification of security vulnerabilities, performance enhancements, and privacy features like content exclusions at repository and organization levels with explanation of their limitations. Candidates learn about safeguarding mechanisms such as duplication detection, contractual protections, security checks, and troubleshooting guide for common Copilot issues including context exclusions and suggestion gaps.

Expected GH-500 Exam Topics, as suggested by Microsoft :

• Module 1: Describe the GHAS security features and functionality: This section of the exam measures skills of Security Engineers and Software Developers and covers understanding the role of GitHub Advanced Security (GHAS) features within the overall security ecosystem. Candidates learn to differentiate security features available automatically for open source projects versus those unlocked when GHAS is paired with GitHub Enterprise Cloud (GHEC) or GitHub Enterprise Server (GHES). The domain includes knowledge of Security Overview dashboards, the distinctions between secret scanning and code scanning, and how secret scanning, code scanning, and Dependabot work together to secure the software development lifecycle. It also covers scenarios contrasting isolated security reviews with integrated security throughout the development lifecycle, how vulnerable dependencies are detected using manifests and vulnerability databases, appropriate responses to alerts, the risks of ignoring alerts, developer responsibilities for alerts, access management for viewing alerts, and the placement of Dependabot alerts in the development process.
• Module 2: Configure and use secret scanning: This domain targets DevOps Engineers and Security Analysts with the skills to configure and manage secret scanning. It includes understanding what secret scanning is and its push protection capability to prevent secret leaks. Candidates differentiate secret scanning availability in public versus private repositories, enable scanning in private repos, and learn how to respond appropriately to alerts. The domain covers alert generation criteria for secrets, user role-based alert visibility and notification, customizing default scanning behavior, assigning alert recipients beyond admins, excluding files from scans, and enabling custom secret scanning within repositories.
• Module 3: Configure and use Dependabot and Dependency Review: Focused on Software Engineers and Vulnerability Management Specialists, this section describes tools for managing vulnerabilities in dependencies. Candidates learn about the dependency graph and how it is generated, the concept and format of the Software Bill of Materials (SBOM), definitions of dependency vulnerabilities, Dependabot alerts and security updates, and Dependency Review functionality. It covers how alerts are generated based on the dependency graph and GitHub Advisory Database, differences between Dependabot and Dependency Review, enabling and configuring these tools in private repositories and organizations, default alert settings, required permissions, creating Dependabot configuration files and rules to auto-dismiss alerts, setting up Dependency Review workflows including license checks and severity thresholds, configuring notifications, identifying vulnerabilities from alerts and pull requests, enabling security updates, and taking remediation actions including testing and merging pull requests.
• Module 4: Configure and use Code Scanning with CodeQL: This domain measures skills of Application Security Analysts and DevSecOps Engineers in code scanning using both CodeQL and third-party tools. It covers enabling code scanning, the role of code scanning in the development lifecycle, differences between enabling CodeQL versus third-party analysis, implementing CodeQL in GitHub Actions workflows versus other CI tools, uploading SARIF results, configuring workflow frequency and triggering events, editing workflow templates for active repositories, viewing CodeQL scan results, troubleshooting workflow failures and customizing configurations, analyzing data flows through code, interpreting code scanning alerts with linked documentation, deciding when to dismiss alerts, understanding CodeQL limitations related to compilation and language support, and defining SARIF categories.
• Module 5: Describe GitHub Advanced Security best practices, results, and how to take corrective measures: This section evaluates skills of Security Managers and Development Team Leads in effectively handling GHAS results and applying best practices. It includes using Common Vulnerabilities and Exposures (CVE) and Common Weakness Enumeration (CWE) identifiers to describe alerts and suggest remediation, decision-making processes for closing or dismissing alerts including documentation and data-based decisions, understanding default CodeQL query suites, how CodeQL analyzes compiled versus interpreted languages, the roles and responsibilities of development and security teams in workflows, adjusting severity thresholds for code scanning pull request status checks, prioritizing secret scanning remediation with filters, enforcing CodeQL and Dependency Review workflows via repository rulesets, and configuring code scanning, secret scanning, and dependency analysis to detect and remediate vulnerabilities earlier in the development lifecycle, such as during pull requests or by enabling push protection.

Expected GH-100 Exam Topics, as suggested by Microsoft :

• Module 1: Support GitHub Enterprise for users and key stakeholders: This section of the exam measures skills of GitHub Enterprise Administrators and covers supporting users, identifying issues that can be resolved internally versus those needing GitHub Support, and generating support bundles and diagnostics. It also involves recognizing underutilized features, managing workflows like branching and pull requests, understanding CI/CD strategies, recommending tooling, and extending capabilities through APIs or Marketplace apps.
• Module 2: Manage user identities and GitHub authentication: This section of the exam measures skills of DevOps Engineers and focuses on managing authentication and identity across organizations using SAML SSO, SCIM, and team synchronization. Candidates need to understand identity providers, user membership implications, authorization models, and enforcing security measures such as two-factor authentication.
• Module 3: Describe how GitHub is deployed, distributed, and licensed: This section of the exam measures skills of GitHub Enterprise Administrators and highlights the deployment models of GitHub Enterprise Server, Enterprise Cloud, and GitHub AE. It covers licensing structures, billing for seat licenses and metered services, support options, and monitoring license usage across users and machine accounts.
• Module 4: Manage access and permissions based on membership: This section of the exam measures skills of DevOps Engineers and reviews how to manage organizations, teams, and repository permissions. It includes default permission settings, team synchronization through AD, scripting across multiple organizations, and aligning enterprise policies with trust requirements. It also contrasts roles such as organization members, owners, collaborators, and billing managers.
• Module 5: Enable secure software development and ensure compliance: This section of the exam measures skills of GitHub Enterprise Administrators and deals with applying GitHub’s security and compliance capabilities. It covers policies, auditing, scrubbing sensitive data, secret scanning, code scanning with CodeQL, dependency management with Dependabot, and implementing security response plans. It also explores authentication tokens, app security policies, and enterprise managed users.
• Module 6: Manage GitHub Actions: This section of the exam measures skills of DevOps Engineers and emphasizes managing workflows, reusable actions, and distribution strategies within the enterprise. It explains configuring organization-level policies, managing self-hosted and GitHub-hosted runners, controlling access through IP allow lists, handling encrypted secrets, and integrating third-party vaults for workflow security.
• Module 7: Manage GitHub Packages:This section of the exam measures skills of GitHub Enterprise Administrators and focuses on managing GitHub Packages, their use in workflows, and how they differ from releases. It involves accessing, writing, and sharing packages across teams while ensuring integration into CI/CD pipelines.

Expected GH-200 Exam Topics, as suggested by Microsoft :

• Module 1: Author and Maintain Workflows: This section of the exam measures skills of DevOps Engineers and Automation Specialists and covers building and managing workflows triggered by events such as pushes, scheduled times, manual triggers, and webhooks. It includes understanding workflow components like jobs, steps, actions, and runners, syntax correctness, environment variables, secrets management, and dependencies between jobs. Candidates will also demonstrate practical abilities to create workflows for various purposes, including publishing packages, using service containers, routing jobs, and deploying releases to cloud providers.
• Module 2: Consume Workflows: This domain targets Software Developers and Quality Assurance Engineers and focuses on interpreting workflow runs and their outcomes. It covers identifying triggering events, reading workflow configurations, troubleshooting failures by analyzing logs, enabling debug logging, managing environment variables, caching dependencies, and passing data between jobs. Candidates also manage workflow runs, artifacts, approvals, and status badges, as well as locating workflows within repositories and leveraging organizational templated workflows.
• Module 3: Author and Maintain Actions: This domain evaluates the abilities of Action Developers and Automation Engineers to select and create suitable types of GitHub Actions, such as JavaScript, Docker containers, or run steps. It emphasizes troubleshooting action code, understanding the components and file structures of actions, and using workflow commands within actions to communicate with runners, including exit code management.
• Module 4: Manage GitHub Actions in the Enterprise: This section measures the expertise of Enterprise Administrators and Platform Engineers in distributing and managing GitHub Actions and workflows at the organizational level. It includes reuse and sharing of templates, strategies for managing reusable components via repositories and naming conventions, controlling access to actions, setting organization-wide usage policies, and planning maintenance to ensure efficient enterprise-wide deployment of GitHub Actions.

Expected DP-600 Exam Topics, as suggested by Microsoft :

• Module 1: Maintain a data analytics solution: This section is all about implementing security and governance. In this topic, you also get information about maintaining the analytics development lifecycle.
• Module 2: Prepare data: In this topic, questions about creating objects in a lakehouse or warehouse, copying data, transforming data, and optimizing performance appear.
• Module 3: Implement and manage semantic models: The topic delves into designing and building semantic models, and optimizing enterprise-scale semantic models.

Expected MB-335 Exam Topics, as suggested by Microsoft :

• Module 1: Configure products: This topic discusses implementation of product information for production and implementation of Product Configurator for Dynamics 365. Furthermore, it explores implementation of Engineering Change Management.
• Module 2: Configure production prerequisites: In this topic, questions related to the configuration of resources, routes, and calendars appear. It delves into production settings and processes configuration and implementation of costing.
• Module 3: Implement production methods: The focal point of this topic is implementation of different methods of production. It discusses implementation of discrete manufacturing, implementation of process manufacturing, and implementation of lean manufacturing.
• Module 4: Configure production control: In this topic, you face questions related to subcontracting, manufacturing execution, scheduling and capacity planning. It discusses implementation of subcontracting, manufacturing execution, advanced master planning scenarios, production scheduling and capacity planning.
• Topic 5: Describe and implement additional supply chain management features: The topic describes cloud and edge scale units, use cases to integrate mixed reality technologies with Dynamics 365 Supply Chain Management. Moreover, it focuses on implementation of Asset Management.

Expected MS-721 Exam Topics, as suggested by Microsoft :

• Module 1: Plan and design collaboration communications systems: This domain covers how to plan and design Teams meeting policies and settings, plan and design Teams Phone and PSTN connectivity, plan and design Teams-certified device solutions, and prepare the network for Teams.
• Module 2: Configure and manage Teams meetings, webinars, and town halls: In this domain, managing meeting policies including policy packages and group policy assignments are focused. More topics include configuring meeting settings, and avatars for Teams meetings, configure Microsoft Mesh meetings in Microsoft Teams, configure and manage audio conferencing, configure and manage Teams webinars, and configure and manage Teams Town halls.
• Module 3: Configure and manage Teams Phone: This domain covers how to configure Teams Phone policies, dial plans, calling policies, call park policies, caller ID policies, IP Phone policies, and mobility policies. Moreover, it also covers configuring auto attendants and call queues, configure dynamic emergency calling, and configuring dynamic emergency calling, configuring and managing calling features for Teams Phone, and configuring and managing calling features for Teams Phone.
• Module 4: Configure and manage Teams Rooms and devices: This section covers how to manage and maintain Teams Rooms and devices, device settings, local network settings, and device updates. it also covers how to configure and manage Teams Android devices and manage Teams Windows devices in addition to optional features for Teams Rooms and devices.