GitHub · GH-500
Validates expertise in configuring, managing, and operating GitHub Advanced Security tools including code scanning, secret scanning, and dependency management to secure software development workflows.
Practice Questions
299
≈ 3 practice exams
Duration
100 minutes
Passing Score
Not publicly disclosed
Difficulty
IntermediateLast Updated
Jan 2025
Use this GH-500 practice exam to prepare for GitHub Advanced Security (GH-500) with realistic questions, detailed explanations, and focused study modes. The practice bank includes 299 questions for GitHub GH-500, so you can review the exam steadily instead of relying on one long cram session.
As you practice, pay extra attention to recurring topics such as GHAS Security Features, Secret Scanning, Dependabot & Dependency Review, Code Scanning with CodeQL, and Security Best Practices. Start with short sessions to identify weak areas, then move into timed quizzes once your accuracy is consistent.
The explanations are especially useful when you want to connect exam wording to the responsibilities and scenarios described in the official certification guidance. Use the free preview first, then unlock the full question bank when you are ready to build a complete study routine.
The GitHub Advanced Security (GH-500) certification validates proficiency in configuring, managing, and operationalizing the full suite of GitHub Advanced Security (GHAS) tools to secure modern software development workflows. Candidates demonstrate mastery across three core security pillars: secret scanning (including push protection and custom patterns), dependency management via Dependabot and Dependency Review, and automated code analysis using CodeQL and third-party SARIF-compatible tools. The exam also covers Security Overview, alert management, and enforcement of security policies through Repository Rulesets and GitHub Actions workflows.
The certification is maintained by GitHub and administered through Microsoft's Pearson VUE testing infrastructure. It was updated in 2025 to reflect a revised seven-domain structure, expanding coverage of GitHub Enterprise configuration and sharpening the weight given to best practices and corrective measures. Holding this credential demonstrates the ability to shift security left—embedding automated vulnerability detection directly into the development lifecycle rather than treating it as a post-deployment concern. The certification is valid for two years from the date of achievement.
The GH-500 exam targets system administrators, software developers, application administrators, and IT professionals who work with GitHub Enterprise Cloud (GHEC) or GitHub Enterprise Server (GHES) and are responsible for securing codebases at scale. Ideal candidates include DevSecOps engineers integrating security gates into CI/CD pipelines, application security specialists managing organizational vulnerability programs, and GitHub administrators enforcing repository and organization-level security policies.
Candidates should have hands-on experience enabling and configuring GHAS features across repositories and organizations, familiarity with GitHub Actions workflows, and an understanding of software supply chain security concepts including dependency graphs, SBOMs, and CVE/CWE classification. The intermediate difficulty level assumes prior GitHub platform experience; this is not an entry-level credential.
Microsoft does not list formal prerequisites for GH-500, but the official audience profile specifies intermediate-level experience with GitHub Enterprise Administration. Candidates are expected to understand GitHub's repository, organization, and enterprise permission model before attempting the exam, as access control questions appear across multiple domains.
Recommended preparation includes practical experience enabling GHAS features on private repositories, working knowledge of GitHub Actions (creating and modifying workflow YAML files), familiarity with CodeQL query suites and SARIF output formats, and experience interpreting Dependabot alerts and dependency graphs. Completing the official Microsoft Learn training course GH-500T00-A: GitHub Advanced Security provides structured coverage of all exam objectives and is the primary recommended prerequisite resource.
The GH-500 exam is delivered through Pearson VUE and includes a 100-minute time limit. The exam is proctored and may include interactive lab components in addition to standard multiple-choice and scenario-based questions. Candidates can experience the question interface in advance via the official exam sandbox at GHCertDemo.starttest.com before scheduling.
The exam is available in English, Spanish, Portuguese (Brazil), Korean, and Japanese. Pricing is approximately $99 USD, varying by country or region of testing. No official passing score is published on the Microsoft Learn certification page; third-party sources cite 700/1000 as a commonly reported threshold, but this should be verified against official communications at time of registration. If a candidate fails, a retake is permitted 24 hours after the first attempt; subsequent retake wait times vary per Microsoft's standard retake policy. A free practice assessment is available on Microsoft Learn (assessment ID 590484996).
Professionals holding the GH-500 certification are positioned for roles such as DevSecOps engineer, application security engineer, GitHub Enterprise administrator, and security-focused software developer. As software supply chain security has become a regulatory and enterprise priority — driven by executive orders, frameworks like SLSA, and incidents targeting dependency ecosystems — the ability to operationalize GHAS tools within existing GitHub workflows is a differentiated and in-demand skill. The certification is relevant across both enterprise cloud environments (GitHub Enterprise Cloud) and self-hosted deployments (GitHub Enterprise Server), broadening its applicability across industries.
Because the credential is issued by GitHub (administered via Microsoft) rather than a generic cloud provider, it signals specific platform expertise to employers already standardized on GitHub for source control and CI/CD. It complements adjacent certifications such as GitHub Actions (GH-200), GitHub Administration (GH-700), and Microsoft's AZ-500 (Azure Security Engineer) for professionals building a security specialization. The two-year validity period requires periodic renewal, keeping certified professionals current with an actively evolving product.
5 sample questions with answers and explanations. The full bank has 299 questions, enough for 3 full-length practice exams.
Preview — answers shown1. RegionalBank's development team needs to understand the dependency graph generation process for their repositories. How is the dependency graph automatically generated by GitHub?
Explanation
GitHub automatically generates the dependency graph by parsing manifest files (package.json, Gemfile, requirements.txt, etc.) and lock files (package-lock.json, Gemfile.lock, etc.) in repositories. The system identifies supported manifest formats, extracts dependency information including package names and version constraints, and builds a comprehensive graph of direct and transitive dependencies. This automated process provides visibility into the complete dependency tree without requiring manual configuration or code analysis.
2. TechGlobal Inc. wants to implement Software Bill of Materials (SBOM) practices for compliance and security tracking. What SBOM format does GitHub use for dependency information?
Explanation
GitHub uses the SPDX (Software Package Data Exchange) format for Software Bill of Materials. SPDX is an open standard that provides a standardized way to document software components, licenses, and dependencies. This format enables compliance teams to track software components systematically and facilitates integration with other security and compliance tools that support SPDX. Using a standardized format ensures interoperability and supports regulatory compliance requirements that mandate software component tracking.
3. A security architect is explaining to a new team member how CodeQL works under the hood for a compiled language like Java. The architect describes the first step of the process, where CodeQL hooks into the compiler during the build process to create a comprehensive, relational model of the code. What is this resulting model called?
Explanation
The foundational element of a CodeQL scan is the creation of a CodeQL database. This is a relational representation of the source code, capturing everything about its structure, syntax, and the relationships between different parts of the code. Once this database is built, CodeQL can run queries against it to perform powerful data flow analysis and find vulnerabilities. A SARIF file is an output format, a dependency graph is for Dependabot, and a security campaign is a management feature.
4. A manager is analyzing developer productivity metrics after adopting GitHub Advanced Security. They find that the average time to remediate a SQL injection vulnerability has dropped from over an hour and a half to less than 28 minutes. This dramatic improvement is directly attributable to which AI-powered feature?
Explanation
Code Scanning AutoFix is the feature responsible for this significant time savings. By automatically generating a suggested fix for a vulnerability right inside the pull request, it eliminates the time a developer would normally spend researching the vulnerability, understanding how to fix it, and writing the code. The developer's task is reduced to simply reviewing and accepting the AI-generated suggestion, leading to much faster remediation times, as highlighted by the statistics in the presentation.
5. DataFlow Corp has a complex dependency structure in their application and wants to understand how vulnerable dependencies are identified by GitHub. What is the primary mechanism GitHub uses to identify vulnerable dependencies?
Explanation
GitHub identifies vulnerable dependencies by analyzing manifest files (like package.json, requirements.txt, or pom.xml) and comparing the declared dependencies against databases of known vulnerabilities, primarily the GitHub Advisory Database. This process involves parsing dependency manifests to extract package names and versions, then cross-referencing this information against vulnerability databases to identify security issues. This approach allows GitHub to provide vulnerability alerts without requiring access to source code or runtime analysis.
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