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Microsoft GH-500 Exam Overview:

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

主題	簡介
主題 1	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.
主題 2	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.
主題 3	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.
主題 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.
主題 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.

最新的 GitHub Administrator GH-500 免費考試真題 (Q27-Q32):

問題 #27
Which of the following benefits do code scanning, secret scanning, and dependency review provide?

A. Search for potential security vulnerabilities, detect secrets, and show the full impact of changes to dependencies
B. Confidentially report security vulnerabilities and privately discuss and fix security vulnerabilities in your repository's code
C. Automatically raise pull requests, which reduces your exposure to older versions of dependencies
D. View alerts about dependencies that are known to contain security vulnerabilities

答案：A

解題說明：
These three features provide a complete layer of defense:
* Code scanning identifies security flaws in your source code
* Secret scanning detects exposed credentials
* Dependency review shows the impact of package changes during a pull request Together, they give developers actionable insight into risk and coverage throughout the SDLC.
: GitHub Docs - About GitHub Advanced Security Features

問題 #28
Where can you find the vulnerable dependencies that GitHub detected in your repository?

A. in Dependabot alerts
B. in security advisories
C. in code scanning alerts
D. in secret scanning alerts

答案：A

解題說明：
Identifying vulnerabilities in your project's dependencies with Dependabot alerts Dependabot generates Dependabot alerts when known vulnerabilities are detected in dependencies that your project uses.
Dependabot alerts tab
If GitHub discovers insecure dependencies in your project, you can view details on the Dependabot alerts tab of your repository. Then, you can update your project to resolve or dismiss the alert.

問題 #29
When does Dependabot alert you of a vulnerability in your software development process?

A. When a pull request adding a vulnerable dependency is opened
B. When Dependabot opens a pull request to update a vulnerable dependency
C. As soon as a pull request is opened by a contributor
D. As soon as a vulnerable dependency is detected

答案：D

解題說明：
Dependabot alerts are generated as soon as GitHub detects a known vulnerability in one of your dependencies. GitHub does this by analyzing your repository's dependency graph and matching it against vulnerabilities listed in the GitHub Advisory Database. Once a match is found, the system raises an alert automatically without waiting for a PR or manual action.
This allows organizations to proactively mitigate vulnerabilities as early as possible, based on real-time detection.
: GitHub Docs - About Dependabot alerts; Managing alerts in GitHub Dependabot

問題 #30
Assuming that no custom patterns are configured, what type of secret is detected by secret scanning?

A. usernames
B. private keys
C. Personal Identifiable Information (PII)
D. sealed boxes

答案：B

解題說明：
GitHub secret scanning detects and alerts on sensitive data exposure, such as API keys and credentials, in your code repositories.

問題 #31
Your security team requested that you enable the dependency graph. What happens when you enable this feature for your repository?

A. Dependabot security updates create pull requests to upgrade those dependencies.
B. Admins of the repository will see dependency information in the dependency graph.
C. GitHub generates Dependabot alerts for vulnerable dependencies.
D. New repositories will need to have dependency information enabled.

答案：B

解題說明：
Enabling the dependency graph allows GitHub to analyze supported manifest and lock files and build a representation of the repository's direct and transitive dependencies. GitHub receives read-only access to the dependency files, parses supported manifests when the feature is first enabled, and then updates the graph as repository content changes. Dependabot alerts and Dependabot security updates are separate capabilities:
enabling the dependency graph alone does not automatically mean that security-update pull requests will be generated. Likewise, the dependency graph setting for one repository does not require administrators to manually enable dependency information for every newly created repository unless their organization's configuration requires that behavior. Therefore, the applicable result among the supplied options is that repository administrators can view the dependency information exposed by the dependency graph.

問題 #32
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