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Microsoft GH-500 Exam Overview:

Certification Vendor:Microsoft
Exam Name:GitHub Advanced Security
Exam Number:GH-500
Passing Score:700 out of 1000
Exam Duration:120 minutes
Certificate Validity Period:1 year
Exam Price:$165 USD
Exam Format:Multiple choice, Case study, Drag and drop
Real Exam Qty:40-60
Related Certifications:GitHub Advanced Security Certification
Available Languages:English, Spanish, German, French, Chinese (Simplified), Korean, Japanese
Sample Questions:Microsoft GH-500 Sample Questions
Exam Way:Online (Proctored) or In-person at a testing center
Pre Condition:No mandatory prerequisites. Recommended to have experience with GitHub and basic understanding of security concepts.
Official Syllabus URL:https://learn.microsoft.com/en-us/credentials/certifications/github-advanced-security/

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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
  • 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 3
  • 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 4
  • 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 5
  • 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.

Microsoft GitHub Advanced Security Sample Questions (Q116-Q121):

NEW QUESTION # 116
What scenario demonstrates the use of Dependabot security updates?

Answer: D

Explanation:
Dependabot security updates are automated pull requests generated by the GitHub tool to update project dependencies with known security vulnerabilities, such as those listed in the GitHub Advisory Database. This feature helps developers automatically patch security risks in their codebase by creating pull requests that update dependencies to the minimum secure version without breaking the dependency graph.
How Dependabot Security Updates Work
1. Vulnerability Detection: Dependabot scans your repository's dependencies and checks them against the GitHub Advisory Database.
2. Alerts: If a vulnerable dependency is detected, Dependabot sends an alert to the user.
3. Automated Pull Request: For repositories where security updates are enabled, Dependabot automatically creates a pull request to fix the vulnerability.
4. Update to Secure Version: The pull request updates the vulnerable dependency to the minimum version that contains a patch for the known security issue.
5. Resolution: The pull request provides details, including release notes and commits, and is linked to the security alert for easy review and merging.


NEW QUESTION # 117
Which of the following features helps to prioritize secret scanning alerts that present an immediate risk?

Answer: D

Explanation:
Push protection is a secret scanning feature that is designed to prevent sensitive information, such as secrets or tokens, from being pushed to your repository in the first place. Unlike secret scanning, which detects secrets after they have been committed, push protection proactively scans your code for secrets during the push process and blocks the push if any are detected.
Push protection helps you avoid the risks associated with exposed secrets, like unauthorized access to resources or services. With this feature, developers get immediate feedback and can address potential issues before they become a security concern.


NEW QUESTION # 118
What step is required to run a SARIF-compatible (Static Analysis Results Interchange Format) tool on GitHub Actions?

Answer: B

Explanation:
When using a SARIF-compatible tool within GitHub Actions, it's necessary to explicitly add a step in your workflow to upload the analysis results. This is typically done using the upload-sarif action, which takes the SARIF file generated by your tool and uploads it to GitHub for processing and display in the Security tab. Without this step, the results won't be available in GitHub's code scanning interface.


NEW QUESTION # 119
Assuming that notification settings and Dependabot alert recipients have not been customized, which user account setting should you use to get an alert when a vulnerability is detected in one of your repositories?

Answer: D

Explanation:
To ensure you're notified whenever a vulnerability is detected via Dependabot, you must enable alerts for Dependabot in your personal notification settings. This applies to both new and existing repositories. It ensures you get timely alerts about security vulnerabilities.
The dependency graph must be enabled for scanning, but does not send alerts itself.


NEW QUESTION # 120
After looking into an injection code scanning alert, you notice that the input is properly sanitized with custom logic. Which of the following is the next step?

Answer: A

Explanation:
Dismissing alerts
There are two ways of closing an alert. You can fix the problem in the code, or you can dismiss the alert.
Dismissing an alert is a way of closing an alert that you don't think needs to be fixed. For example, an error in code that's used only for testing, or when the effort of fixing the error is greater than the potential benefit of improving the code. You can dismiss alerts from code scanning annotations in code, or from the summary list within the Security tab.
If you dismiss a CodeQL alert as a false positive result, for example because the code uses a sanitization library that isn't supported, consider contributing to the CodeQL repository and improving the analysis.


NEW QUESTION # 121
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