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Microsoft GH-500 Exam Overview:

Certification Vendor:Microsoft
Exam Name:Microsoft GitHub Advanced Security (GH-500)
Exam Number:GH-500
Exam Duration:120 minutes
Passing Score:700 (on a scale of 1000)
Exam Format:Scenario-based questions, Multiple response, Multiple choice, Case studies
Available Languages:English
Certificate Validity Period:1 year (renewable via Microsoft certification renewal)
Related Certifications:Microsoft DevOps Engineer Expert
GitHub Actions
GitHub Administration
Real Exam Qty:40-60 (approx.)
Exam Price:$165 USD (may vary by region)
Recommended Training:Microsoft Learn - GitHub Advanced Security
GitHub Advanced Security Documentation
Exam Registration:Pearson VUE Microsoft Exams
Microsoft Certification Exam Page
Sample Questions:Microsoft GH-500 Sample Questions
Exam Way:Online proctored exam or authorized testing center (Pearson VUE)
Pre Condition:Recommended: familiarity with GitHub, DevSecOps practices, and CI/CD pipelines. No formal prerequisites required.
Official Syllabus URL:https://learn.microsoft.com/en-us/credentials/certifications/exams/gh-500/

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2026 GH-500: GitHub Advanced Security –Efficient Valid Exam Duration

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Microsoft GH-500 Exam Syllabus Topics:

TopicDetails
Topic 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.
Topic 2
  • 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.
Topic 3
  • 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 4
  • 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 5
  • 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.

Microsoft GitHub Advanced Security Sample Questions (Q75-Q80):

NEW QUESTION # 75
What happens when you remove someone's access to a private repository?

Answer: D

Explanation:
When a person's access to a private repository is removed, GitHub deletes that person's private forks belonging to the repository's network. This prevents the GitHub-hosted fork from remaining available after the user loses authorization to the upstream private repository. GitHub cannot, however, automatically erase local clones that the person previously downloaded to their own computers; the documentation explicitly states that local clones are retained. Removing one individual's access also does not necessarily revoke an entire team's access, because team permissions are managed separately. Nor does GitHub automatically delete confidential information that may have been copied outside the repository. GitHub therefore advises organizations to ensure that former collaborators appropriately dispose of confidential or proprietary information. The direct platform behavior described in the question is deletion of the user's private forks.


NEW QUESTION # 76
When using CodeQL, how does extraction for compiled languages work?

Answer: C

Explanation:
For compiled languages, CodeQL performs extraction by monitoring the normal build process . This means it watches your usual build commands (like make, javac, or dotnet build) and extracts the relevant data from the actual build steps being executed. CodeQL uses this information to construct a semantic database of the application.
This approach ensures that CodeQL captures a precise, real-world representation of the code and its behavior as it is compiled, including platform-specific configurations or conditional logic used during build.
: GitHub Docs - CodeQL for compiled languages


NEW QUESTION # 77
What role is required to change a repository's code scanning severity threshold that fails a pull request status check?

Answer: C

Explanation:
To change the threshold that defines whether a pull request fails due to code scanning alerts (such as blocking merges based on severity), the user must have Admin access on the repository. This is because modifying these settings falls under repository configuration privileges.
Users with Write, Maintain, or Triage roles do not have the required access to modify rulesets or status check policies.
: GitHub Docs - Repository Role Permissions


NEW QUESTION # 78
If default code security settings have not been changed at the repository, organization, or enterprise level, which repositories receive Dependabot alerts?

Answer: B

Explanation:
When Dependabot detects vulnerable dependencies in your repositories, we generate a Dependabot alert and display it on the Security tab for the repository. GitHub notifies the maintainers of affected repositories about the new alert according to their notification preferences.
Dependabot is enabled by default on all public repositories, and needs to be enabled on private repositories.
Note:
By default, no repositories receive Dependabot alerts unless configuration is explicitly enabled.
GitHub does not enable Dependabot alerts automatically for any repositories unless:
The feature is turned on manually
It's configured at the organization or enterprise level via security policies This includes public, private, and enterprise-owned repositories -manual activation is required.


NEW QUESTION # 79
Where can you find a deleted line of code that contained a secret value?

Answer: A

Explanation:
Secrets committed and then deleted are still accessible in the repository's Git history . To locate them, navigate to the Commits tab. GitHub's secret scanning can detect secrets in both current and historical commits, which is why remediation should also include revoking the secret , not just removing it from the latest code.
: GitHub Docs - Remediating Secret Scanning Alerts


NEW QUESTION # 80
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