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Microsoft GH-500 Exam Overview:

Certification Vendor:Microsoft
Exam Name:GitHub Advanced Security
Exam Number:GH-500
Certificate Validity Period:1 year
Real Exam Qty:40-60
Available Languages:German, Japanese, Korean, Chinese (Simplified), English, French, Spanish
Related Certifications:GitHub Advanced Security Certification
Exam Price:$165 USD
Exam Format:Case study, Drag and drop, Multiple choice
Passing Score:700 out of 1000
Exam Duration:120 minutes
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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Free PDF Quiz GH-500 - Latest Test GitHub Advanced Security Pattern

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Microsoft GH-500 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • 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 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
  • 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 5
  • 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.

Microsoft GitHub Advanced Security Sample Questions (Q103-Q108):

NEW QUESTION # 103
What classifications are used to categorize Dependabot alerts? (Each correct answer presents part of the solution. Choose three.)

Answer: B,C,E

Explanation:
Dependabot alert and advisory details can include a CVE identifier, a GHSA identifier, and associated CWE classifications. CVE provides the standardized identifier for a publicly known vulnerability. GitHub assigns a unique GHSA ID to advisories in the GitHub Advisory Database, while CWE identifies the underlying category or class of software weakness associated with the vulnerability. GitHub's Dependabot alert interface exposes these values when they are available. EPSS is also now surfaced by GitHub and can be used to prioritize alerts, but EPSS is a probability-based exploit-risk score, not one of the three vulnerability identifiers
/classifications being tested by this question. SAST describes a security-analysis methodology rather than an advisory classification. Therefore, the intended selections are CVE, GHSA, and CWE: C, D, and E.


NEW QUESTION # 104
Who can fix a code scanning alert on a private repository?

Answer: D

Explanation:
Comprehensive and Detailed Explanation:
In private repositories, users with write access can fix code scanning alerts. They can do this by committing changes that address the issues identified by the code scanning tools. This level of access ensures that only trusted contributors can modify the code to resolve potential security vulnerabilities.
GitHub Docs
Users with read or triage roles do not have the necessary permissions to make code changes, and the security manager role is primarily focused on managing security settings rather than directly modifying code.
References: GitHub Docs - Resolving code scanning alerts
GitHub Docs


NEW QUESTION # 105
Which of the following steps should you follow to integrate CodeQL into a third-party continuous integration system? Each answer presents part of the solution. (Choose three.)

Answer: B,C,D

Explanation:
Using code scanning with your existing CI system
You can analyze your code with the CodeQL CLI or another tool in a third-party continuous integration system and upload the results to GitHub. The resulting code scanning alerts are shown alongside any alerts generated within GitHub.
[A] Setting up your analysis tool
You will first need to download your analysis tool of choice and set it up with your CI system.
If you are using the CodeQL CLI, you need to make the full contents of the CodeQL CLI bundle available to every CI server that you want to run CodeQL code scanning analysis on.
[B ] Analyzing code
To analyze code with the CodeQL CLI or another analysis tool, you will want to check out the code you want to analyze and set up the codebase environment, making sure that any dependencies are available. You may also want to find the build command for the codebase, typically available in your CI system's configuration file.
You can then complete the steps to analyze your codebase and produce results, which will differ based on the static analysis tool you are using.
[E] Uploading your results to GitHub
Once you have analyzed your code, produced SARIF results, and ensured you can authenticate with GitHub, you can upload the results to GitHub.


NEW QUESTION # 106
Which of the following is the best way to dispose of a compromised secret?

Answer: B

Explanation:
Remediating a leaked secret in your repository
Revoke the secret
It is not sufficient to simply remove the secret from your codebase. The most important remediation step is revoking the secret with the secret's provider. By revoking the secret, you drastically reduce the potential for the secret to be exploited.
Note:
You should consider any leaked secret to be immediately compromised and it is essential that you undertake proper remediation steps, such as revoking the secret. Simply removing the secret from the codebase, pushing a new commit, or deleting and recreating the repository do not prevent the secret from being exploited.


NEW QUESTION # 107
How does secret scanning availability differ for public and private repositories on GitHub?

Answer: C


NEW QUESTION # 108
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