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Microsoft GH-500 Exam Syllabus Topics:

Topic	Details
Topic 1	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.
Topic 2	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.
Topic 3	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.
Topic 4	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.
Topic 5	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.

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Microsoft GitHub Advanced Security Sample Questions (Q28-Q33):

NEW QUESTION # 28
Which of the following features can be used to enforce passing status checks for code scanning and dependency review workflows?

A. Repository rulesets
B. Insights
C. Status enforcement
D. Security GuardRails

Answer: A

Explanation:
Repository rulesets provide centralized enforcement of repository policies before changes can be merged.
Rulesets can require workflows or status checks to succeed, and GitHub specifically supports security- oriented enforcement such as dependency review and code scanning merge protection. For dependency review, an organization can require the dependency review workflow through a ruleset so that vulnerable dependency changes prevent merging. Code scanning rulesets can likewise require acceptable code scanning results and define alert thresholds. "Security GuardRails" and "status enforcement" are not GitHub repository features with the functionality described here, while Insights is primarily used for repository statistics and reporting. Therefore, repository rulesets provide the policy mechanism needed to enforce these security gates before code reaches protected branches.

NEW QUESTION # 29
Your security team requested that you enable the dependency graph. What happens when you enable this feature for your repository?

A. New repositories will need to have dependency information enabled.
B. Dependabot security updates create pull requests to upgrade those dependencies.
C. GitHub generates Dependabot alerts for vulnerable dependencies.
D. Admins of the repository will see dependency information in the dependency graph.

Answer: D

Explanation:
Enabling the dependency graph allows GitHub to analyze supported manifest and lock files and build a representation of the repository's direct and transitive dependencies. GitHub receives read-only access to the dependency files, parses supported manifests when the feature is first enabled, and then updates the graph as repository content changes. Dependabot alerts and Dependabot security updates are separate capabilities:
enabling the dependency graph alone does not automatically mean that security-update pull requests will be generated. Likewise, the dependency graph setting for one repository does not require administrators to manually enable dependency information for every newly created repository unless their organization's configuration requires that behavior. Therefore, the applicable result among the supplied options is that repository administrators can view the dependency information exposed by the dependency graph.

NEW QUESTION # 30
Assuming security and analysis features are not configured at the repository, organization, or enterprise level, secret scanning is enabled on:

A. User-owned private repositories
B. All new repositories within your organization
C. Public repositories
D. Private repositories

Answer: C

Explanation:
By default, secret scanning is enabled automatically for all public repositories . For private or internal repositories, secret scanning must be enabled manually unless configured at the organization or enterprise level.
This default behavior helps protect open-source projects without requiring additional configuration.
: GitHub Docs - Secret Scanning Defaults and Scope

NEW QUESTION # 31
What is required to trigger code scanning on a specified branch?

A. The workflow file must exist in that branch.
B. Secret scanning must be enabled on the repository.
C. The repository must be private.
D. Developers must actively maintain the repository.

Answer: A

Explanation:
Comprehensive and Detailed Explanation:
For code scanning to be triggered on a specific branch, the branch must contain the appropriate workflow file, typically located in the .github/workflows directory. This YAML file defines the code scanning configuration and specifies the events that trigger the scan (e.g., push, pull_request).
Without the workflow file in the branch, GitHub Actions will not execute the code scanning process for that branch. The repository's visibility (private or public), the status of secret scanning, or the activity level of developers do not directly influence the triggering of code scanning.

NEW QUESTION # 32
What should you do after receiving an alert about a dependency added in a pull request?

A. Update the vulnerable dependencies before the branch is merged
B. Deploy the code to your default branch
C. Disable Dependabot alerts for all repositories owned by your organization
D. Fork the branch and deploy the new fork

Answer: A

Explanation:
If an alert is raised on a pull request dependency, best practice is to update the dependency to a secure version before merging the PR. This prevents the vulnerable version from entering the main codebase.
Merging or deploying the PR without fixing the issue exposes your production environment to known risks.

NEW QUESTION # 33
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