GH-500 GitHub Advanced Security Exam Topics and Questions

These Microsoft GitHub Advanced Security Exam (GH-500) exam topics are organized according to official exam domains to help candidates quickly verify coverage and focus on assessment rather than theory. Each domain is paired with topic-wise GH-500 sample questions that reflect how objectives are tested in the actual exam. This structure enables efficient review, targeted self-assessment, and rapid identification of weak areas when preparing for the Microsoft GitHub Advanced Security Exam certification exam.

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📄 Exam Contains: 5 Topics

Topic Content

GitHub Advanced Security (GHAS) provides a comprehensive suite of security features designed to protect repositories throughout the software development lifecycle. GHAS includes automatic security features available for all open source projects, with enhanced capabilities when paired with GitHub Enterprise Cloud (GHEC) or GitHub Enterprise Server (GHES), such as advanced code scanning, secret scanning, and Dependabot vulnerability management. Security Overview offers centralized visibility across repositories, enabling teams to monitor and manage security risks from a single dashboard. Secret scanning detects exposed... See More

Topic Content

Secret scanning is a security feature that automatically detects and identifies sensitive information such as API keys, tokens, passwords, and other credentials that may have been accidentally committed to a repository. Push protection extends this capability by preventing secrets from being pushed to repositories in the first place, blocking commits that contain detected secrets before they reach the codebase. Validity checks verify whether detected secrets are actually valid and active, reducing false positives and helping teams prioritize their response efforts.... Secret scanning is a security feature that automatically detects and identifies sensitive information such as API keys, tokens, passwords, and other credentials that may have been accidentally committed to a repository. Push protection extends this capability by preventing secrets from being pushed to repositories in the first place, blocking commits that contain detected secrets before they reach the codebase. Validity checks verify whether detected secrets are actually valid and active, reducing false positives and helping teams prioritize their response efforts. Secret scanning availability differs between public and private repositories, with public repositories having automatic scanning enabled by default, while private repositories require manual enablement through repository settings. To enable secret scanning for private repositories, administrators must access the security settings and activate the feature, after which the system continuously monitors for exposed secrets. When a secret scanning alert is generated, appropriate responses include revoking the compromised credential, rotating the secret, investigating the exposure scope, and notifying relevant stakeholders depending on the severity and type of secret exposed. Alerts are generated based on predefined patterns and service provider integrations, though not all secrets trigger alerts if they don't match configured patterns or if the service provider hasn't been integrated. User roles determine alert visibility and notification methods, with repository administrators and security managers typically receiving notifications while other team members may have limited or no access depending on configured permissions. Customizing default secret scanning behavior involves adjusting alert thresholds, configuring which patterns to monitor, setting notification preferences, and determining which team members or external services receive alerts. Alert recipients can be configured to include specific users, teams, or external webhooks, allowing organizations to route notifications beyond administrators to relevant security and development teams. Certain files can be excluded from secret scanning by adding them to a configuration file, preventing unnecessary alerts from non-production code, test files, or documentation. Custom secret scanning enables organizations to define and detect proprietary patterns specific to their infrastructure, applications, or internal secret formats beyond the default provider patterns. See More

Topic Content

Understand the core vulnerability management tools available in GitHub, including Dependabot and Dependency Review, which work together to identify and remediate security risks in project dependencies. Learn how the dependency graph is automatically generated by analyzing repository manifest files and serves as the foundation for vulnerability detection, while Software Bill of Materials (SBOM) in SPDX format provides a comprehensive inventory of all project dependencies. Explore the distinction between Dependabot alerts, which notify you of known vulnerabilities sourced from the GitHub... See More

Topic Content

Code Scanning with CodeQL and Third-Party Analysis Tools encompasses understanding how to implement and manage automated security analysis within GitHub repositories. This includes enabling code scanning using both CodeQL and third-party analysis tools, contrasting the configuration steps and workflow implementation approaches between native CodeQL integration in GitHub Actions versus external CI/CD tools. Learners must master uploading third-party SARIF results through the SARIF endpoint and understand how code scanning integrates into the software development lifecycle. The topic covers configuring scan triggers... See More

Topic Content

GitHub Advanced Security encompasses a comprehensive approach to identifying, analyzing, and remediating security vulnerabilities throughout the software development lifecycle. Understanding CVE and CWE frameworks enables teams to interpret security alerts with context, assess severity, and implement targeted remediation strategies while maintaining proper documentation for dismissed alerts based on risk assessment data. CodeQL serves as the foundation for code scanning, utilizing default query suites to analyze both compiled and interpreted languages differently, with compiled languages requiring build processes while interpreted languages... See More

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GH-500 GitHub Advanced Security Exam Topics and Questions

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