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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)
Exam Duration:120 minutes
Related Certifications:Microsoft DevOps Engineer Expert
GitHub Actions
GitHub Administration
Available Languages:English
Real Exam Qty:40-60 (approx.)
Exam Format:Multiple response, Case studies, Scenario-based questions, Multiple choice
Certificate Validity Period:1 year (renewable via Microsoft certification renewal)
Passing Score:700 (on a scale of 1000)
Recommended Training:GitHub Advanced Security Documentation
Microsoft Learn - GitHub Advanced Security
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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Microsoft GH-500 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 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
  • 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 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 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 (Q55-Q60):

NEW QUESTION # 55
Which of the following formats are used to describe a Dependabot alert? Each answer presents a complete solution. (Choose two.)

Answer: A,C

Explanation:
Dependabot alerts utilize standardized identifiers to describe vulnerabilities:
CVE (Common Vulnerabilities and Exposures):A widely recognized identifier for publicly known cybersecurity vulnerabilities.
CWE (Common Weakness Enumeration):A category system for software weaknesses and vulnerabilities.
These identifiers help developers understand the nature of the vulnerabilities and facilitate the search for more information or remediation strategies.
Note:
Dependabot alerts utilize standardized identifiers like Common Vulnerabilities and Exposures (CVE) identifiers and GitHub Advisory IDs to describe vulnerabilities within your project's dependencies. These identifiers help link the specific vulnerability to a standardized database entry, providing more context and details about the issue.
Publicly disclosed CWEs used by the Dismiss low impact issues for development-scoped dependencies rule Along with the ecosystem:npm and scope:development alert metadata, we use the following GitHub-curated Common Weakness Enumerations (CWEs) to filter out low impact alerts for the Dismiss low impact issues for development-scoped dependencies rule. We regularly improve this list and vulnerability patterns covered by built-in rules.
Resource Management Issues
CWE-400 Uncontrolled Resource Consumption
CWE-770 Allocation of Resources Without Limits or Throttling
Etc.
Incorrect:
[Not A] Dependabot alerts, combined with Vulnerability Exploitability eXchange (VEX), help users understand and manage vulnerabilities in their dependencies. Dependabot provides alerts when vulnerable dependencies are found, and VEX adds context about whether those vulnerabilities are actually exploitable in a specific environment.
VEX (Vulnerability Exploitability eXchange):
Purpose:
VEX provides a standardized way to communicate whether a vulnerability is actually exploitable in a specific context, like a particular product or environment.
Functionality:
VEX can be used to convey that a vulnerability doesn't pose a risk in a specific scenario, potentially due to specific configurations or mitigations.
Example:
If a product uses a vulnerable component, but that component is not reachable or has a mitigation in place, VEX can be used to communicate that the vulnerability is not exploitable.
[Not D]
Dependabot helps users focus on the most important alerts by including EPSS scores that indicate likelihood of exploitation, now generally available [February 2025] Dependabot alerts now feature the Exploit Prediction Scoring System (EPSS) from the global Forum of Incident Response and Security Teams (FIRST), helping you better assess vulnerability risks.
EPSS scores predict the likelihood of a vulnerability being exploited, with scores ranging from 0 to
1 (0 to 100%). Higher scores mean higher risk. We also show the EPSS score percentile, indicating how a vulnerability compares to others.
For example, a 90.534% EPSS score at the 95th percentile means:
90.534% chance of exploitation in the next 30 days
95% of other vulnerabilities are less likely to be exploited
You can use EPSS scores to help prioritize dependency vulnerabilities based on exploit likelihood.


NEW QUESTION # 56
What is the exportable SBOM format created by the dependency graph on GitHub?

Answer: D


NEW QUESTION # 57
When code scanning is enabled, what is one default event that triggers a scan?

Answer: A


NEW QUESTION # 58
What is code scanning?

Answer: B

Explanation:
GitHub's Code scanning is a feature that analyzes the code in a GitHub repository to find security vulnerabilities and coding errors, providing alerts in the repository and offering tools to triage, prioritize, and fix issues. It acts as a Static Application Security Testing (SAST) tool, using engines like CodeQL to detect issues like SQL injection and Cross-Site Scripting (XSS), and can be triggered automatically on events like pushes and pull requests.


NEW QUESTION # 59
Assuming security and analysis features are not configured at the repository, organization, or enterprise level, secret scanning is enabled on:

Answer: B

Explanation:
We [Microsoft] automatically run secret scanning for partner patterns on all public repositories and public npm packages.


NEW QUESTION # 60
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