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Microsoft GH-500 Exam Overview:

Certification Vendor:Microsoft
Exam Name:GH-500: GitHub Advanced Security
Exam Number:GH-500
Available Languages:Korean, Arabic (Saudi Arabia), English, French, Portuguese (Brazil), Spanish, Japanese, Chinese (Simplified), German
Real Exam Qty:40–60
Exam Format:Interactive tasks, Scenario-based, Multiple-choice
Exam Duration:100 minutes
Certificate Validity Period:1 year
Exam Price:$99 USD
Passing Score:700 / 1000
Recommended Training:GitHub Advanced Security Learning Path
Course GH-500T00: GitHub Advanced Security
Exam Registration:Microsoft Learn Exam Registration
Pearson VUE Scheduling
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
  • 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 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 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 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.

Microsoft GitHub Advanced Security Sample Questions (Q68-Q73):

NEW QUESTION # 68
What is a security policy?

Answer: C

Explanation:
A security policy is defined by a SECURITY.md file in the root of your repository or .github/ directory. This file informs contributors and security researchers about how to responsibly report vulnerabilities. It improves your project's transparency and ensures timely communication and mitigation of any reported issues.
Adding this file also enables a "Report a vulnerability" button in the repository's Security tab.


NEW QUESTION # 69
You are managing code scanning alerts for your repository. You receive an alert highlighting a problem with data flow. What do you click for additional context on the alert?

Answer: A

Explanation:
When dealing with a data flow issue in a code scanning alert, clicking on "Show paths" provides a detailed view of the data's journey through the code. This includes the source of the data, the path it takes, and where it ends up (the sink). This information is crucial for understanding how untrusted data might reach sensitive parts of your application and helps in identifying where to implement proper validation or sanitization.


NEW QUESTION # 70
What kind of repository permissions do you need to request a Common Vulnerabilities and Exposures (CVE) identification number for a security advisory?

Answer: A

Explanation:
Anyone with admin permissions to a security advisory can request a CVE identification number.


NEW QUESTION # 71
What details should you include in your security policy?

Answer: B

Explanation:
Adding a security policy to your repository
You can give instructions for how to report a security vulnerability in your project by adding a security policy to your repository.
About security policies
To give people instructions for reporting security vulnerabilities in your project, you can add a SECURITY.md file to your repository's root, docs, or .github folder. Adding this file to this part(s) of your repository automatically creates a row with a description where people can review it.
When someone creates an issue in your repository, they will see a link to your project's security policy.
You can create a default security policy for your organization or personal account.


NEW QUESTION # 72
You are configuring code scanning with CodeQL. What is one impact of using a language matrix in your workflow?

Answer: A

Explanation:
If your workflow uses the language matrix, then CodeQL will only analyze the languages in the matrix.
Note:
The default CodeQL analysis workflow file created after configuring advanced setup for code scanning with CodeQL defines a matrix containing a property named language which lists the languages in your repository that will be analyzed. This matrix has been automatically pre- populated with supported languages detected in your repository. Using the language matrix allows CodeQL to run each language analysis in parallel and to customize analysis for each language. In an individual analysis, the name of the language from the matrix is provided to the init action as the argument for the languages input. We recommend that all workflows adopt this configuration.
Incorrect:
[Not A]
Using the language matrix allows CodeQL to run each language analysis in parallel.


NEW QUESTION # 73
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