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Microsoft GitHub Advanced Security : GH-500

GH-500 actual test
  • Exam Code: GH-500
  • Exam Name: GitHub Advanced Security
  • Updated: Oct 28, 2026
  • Q & A: 127 Questions and Answers
  • PDF Demo
  • PC Test Engine
  • Online Test Engine
  • Total Price: $59.99  

About Microsoft GitHub Advanced Security : GH-500 Exam

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Microsoft GH-500 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • 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 3
  • 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 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
  • 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.

Reference: https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/GH-500

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Microsoft GitHub Advanced Security Sample Questions:

Question #1

After defining a secret scanning custom pattern, what is the final step before publishing the pattern?

  • A. Defining a custom pattern
  • B. Performing a dry run
  • C. Enabling push protection
  • D. Adding additional match requirements
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

Explanation: Only visible for TestPassed members. You can sign-up / login (it's free).

Question #2

When using CodeQL, how does extraction for compiled languages work?

  • A. By monitoring the normal build process
  • B. By generating one language at a time
  • C. By resolving dependencies to give an accurate representation of the codebase
  • D. By running directly on the source code
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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Question #3

What does a CodeQL database of your repository contain?

  • A. A build for Go projects to set up the project
  • B. A build of the code and extracted data
  • C. A representation of all of the source code
    GitHub
    Agentic AI for AppSec Teams
  • D. Build commands for C/C++, C#, and Java
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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Question #4

What is the first step in CodeQL analysis?

  • A. Running CodeQL queries against the database
  • B. Preparing the code by creating a CodeQL database
  • C. Converting results produced during query execution
  • D. Interpreting the query results
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

Explanation: Only visible for TestPassed members. You can sign-up / login (it's free).

Question #5

Which of the following features helps to prioritize secret scanning alerts that present an immediate risk?

  • A. Non-provider patterns
  • B. Push protection
  • C. Custom pattern dry runs
  • D. Secret validation
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

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