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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 Price:$165 USD (may vary by region)
Real Exam Qty:40-60 (approx.)
Certificate Validity Period:1 year (renewable via Microsoft certification renewal)
Exam Duration:120 minutes
Passing Score:700 (on a scale of 1000)
Exam Format:Scenario-based questions, Multiple response, Multiple choice, Case studies
Related Certifications:GitHub Administration
GitHub Actions
Microsoft DevOps Engineer Expert
Available Languages:English
Recommended Training:GitHub Advanced Security Documentation
Microsoft Learn - GitHub Advanced Security
Exam Registration:Microsoft Certification Exam Page
Pearson VUE Microsoft Exams
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 High Pass-Rate GH-500: Latest GitHub Advanced Security Exam Test

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Microsoft GH-500 Exam Syllabus Topics:

TopicDetails
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 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 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 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.

Microsoft GitHub Advanced Security Sample Questions (Q26-Q31):

NEW QUESTION # 26
Where can you remove access to GitHub Advanced Security features for an individual repository in an organization? (Each answer presents part of the solution. Choose two.)

Answer: A,B

Explanation:
GitHub Advanced Security features can be managed at both the organization and repository levels.
Organization owners can control security configurations and Advanced Security access across repositories from the organization's Settings area. At the repository level, administrators can manage eligible security and analysis features through the repository's Settings, subject to any policies or security configurations enforced by the organization or enterprise. Current GitHub terminology separates Advanced Security into products such as GitHub Secret Protection and GitHub Code Security, but the same management hierarchy applies.
The organization's Repository permissions area manages general repository access permissions rather than feature licensing or enablement, while enterprise settings primarily establish higher-level policies rather than directly serving as the normal per-repository control described here.


NEW QUESTION # 27
Why should you dismiss a code scanning alert?

Answer: D

Explanation:
You should dismiss a code scanning alert if the flagged code is not a true security concern, such as:
*-> Code in test files
Code paths that are unreachable or safe by design
False positives from the scanner
Fixing the code would automatically resolve the alert - not dismiss it. Dismissing is for valid exceptions or noise reduction.


NEW QUESTION # 28
Which of the following benefits do code scanning, secret scanning, and dependency review provide?

Answer: A


NEW QUESTION # 29
Which of the following formats are used to describe a code scanning alert from CodeQL?

Answer: B

Explanation:
CodeQL security queries are associated with Common Weakness Enumeration (CWE) classifications. CWE provides standardized categories for classes of software weaknesses, such as improper input validation, path traversal, or SQL injection. GitHub CodeQL query metadata and alert tags can contain CWE identifiers, and GitHub allows code scanning alerts to be filtered by CWE tags. CVEs identify specific publicly disclosed vulnerabilities rather than general weakness categories in source-code analysis. A GHSA identifies a GitHub Security Advisory, while VEX communicates whether a product is affected by a known vulnerability. For CodeQL findings, CWE is therefore the relevant classification system used to describe the type of weakness represented by an alert. GitHub's code scanning API also exposes CodeQL rules containing external/cwe/...
tags.


NEW QUESTION # 30
Assuming there is no custom Dependabot behavior configured, where possible, what does Dependabot do after sending an alert about a vulnerable dependency in a repository?

Answer: B

Explanation:
In repositories where Dependabot security updates are enabled, when GitHub detects a vulnerable dependency in the default branch, Dependabot creates a pull request to fix it. The pull request will upgrade the dependency to the minimum possible secure version needed to avoid the vulnerability.


NEW QUESTION # 31
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