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Microsoft GH-500 Exam Overview:

Certification Vendor:Microsoft
Exam Name:GH-500: GitHub Advanced Security
Exam Number:GH-500
Certificate Validity Period:1 year
Available Languages:Spanish, German, French, Arabic (Saudi Arabia), Chinese (Simplified), Japanese, Portuguese (Brazil), English, Korean
Exam Duration:100 minutes
Exam Format:Scenario-based, Multiple-choice, Interactive tasks
Passing Score:700 / 1000
Real Exam Qty:40โ€“60
Exam Price:$99 USD
Recommended Training:GitHub Advanced Security Learning Path
Course GH-500T00: GitHub Advanced Security
Exam Registration:Pearson VUE Scheduling
Microsoft Learn Exam Registration
Sample Questions:Microsoft GH-500 Sample Questions
Exam Way:Online proctored or onsite testing via Pearson VUE
Pre Condition:Familiarity with GitHub fundamentals, CI/CD pipelines, and secure development practices; no mandatory prerequisite exams
Official Syllabus URL:https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/gh-500

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Microsoft GH-500 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 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
  • 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
  • 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 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 (Q111-Q116):

NEW QUESTION # 111
What are Dependabot security updates?

Answer: D

Explanation:
Dependabot security updates are automated pull requests triggered when GitHub detects a vulnerability in a dependency listed in your manifest or lockfile. These PRs upgrade the dependency to the minimum safe version that fixes the vulnerability.
This is separate from regular updates (which keep versions current even if not vulnerable).
: GitHub Docs - About Dependabot Security Updates


NEW QUESTION # 112
Which of the following options are code scanning application programming interface (API) endpoints? Each answer presents part of the solution. (Choose two.)

Answer: B,C

Explanation:
REST API endpoints for code scanning
Use the REST API to retrieve and update code scanning alerts from a repository.
[D] Get a code scanning alert
Gets a single code scanning alert.
OAuth app tokens and personal access tokens (classic) need the security_events scope to use this endpoint with private or public repositories, or the public_repo scope to use this endpoint with only public repositories.
Fine-grained access tokens for "Get a code scanning alert"
This endpoint works with the following fine-grained token types:
GitHub App user access tokens
GitHub App installation access tokens
Fine-grained personal access tokens
[C] Update a code scanning alert
Updates the status of a single code scanning alert. OAuth app tokens and personal access tokens (classic) need the security_events scope to use this endpoint with private or public repositories, or the public_repo scope to use this endpoint with only public repositories.


NEW QUESTION # 113
What is the best way to ensure that added dependencies' licenses are checked and new code is analyzed at the repository level?

Answer: D

Explanation:
A GitHub Dependabot Dependency Review workflow can ensure added dependencies' licenses are checked and new code is analyzed at the repository level by integrating a Software Composition Analysis (SCA) tool into a CI/CD pipeline, which scans pull requests for dependency changes and potential security or license issues before code is merged. This proactive approach helps maintain code quality and compliance by automatically flagging vulnerabilities and invalid licenses, with the option to block merges based on severity.
Note:
1. Integrate into Workflow: You add a job for the Dependency Review action to your CI workflow file within the .github/workflows directory.
2. Scan Pull Requests: The action automatically scans the changes in your pull requests to identify new, removed, or updated dependencies.
3. Analyze Dependencies: It then analyzes these dependencies for known security vulnerabilities and license compliance issues.
4. Flag Issues: The results, including any security alerts and license information, are displayed in the job logs and as a job summary beneath the action run.
5. Enforce and Mitigate Risks: You can configure the action to automatically fail the build and block merges for high-severity issues, ensuring that only compliant and secure code is added to your project.


NEW QUESTION # 114
Where can you view code scanning results from CodeQL analysis?

Answer: B

Explanation:
All results from CodeQL analysis appear under the repository's code scanning alerts tab. This section is part of the Security tab and provides a list of all current, fixed, and dismissed alerts found by CodeQL.
A CodeQL database is used internally during scanning but does not display results. Query packs contain rules, not results. Security advisories are for published vulnerabilities, not per-repo findings.
: GitHub Docs - Viewing code scanning alerts


NEW QUESTION # 115
Which of the following features helps to prioritize secret scanning alerts that present an immediate risk?

Answer: D

Explanation:
Secret validation checks whether a secret found in your repository is still valid and active with the issuing provider (e.g., AWS, GitHub, Stripe). If a secret is confirmed to be active, the alert is marked as verified , which means it's considered a high-priority issue because it presents an immediate security risk.
This helps teams respond faster to valid, exploitable secrets rather than wasting time on expired or fake tokens.
: GitHub Docs - Secret validation in secret scanning


NEW QUESTION # 116
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