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Microsoft GH-500 Exam Overview:

Certification Vendor:Microsoft
Exam Name:Microsoft GitHub Advanced Security (GH-500)
Exam Number:GH-500
Related Certifications:Microsoft DevOps Engineer Expert
GitHub Administration
GitHub Actions
Real Exam Qty:40-60 (approx.)
Exam Duration:120 minutes
Certificate Validity Period:1 year (renewable via Microsoft certification renewal)
Available Languages:English
Passing Score:700 (on a scale of 1000)
Exam Format:Multiple choice, Scenario-based questions, Case studies, Multiple response
Exam Price:$165 USD (may vary by region)
Recommended Training:GitHub Advanced Security Documentation
Microsoft Learn - GitHub Advanced Security
Exam Registration:Microsoft Certification Exam Page
Pearson VUE Microsoft Exams
Sample Questions:Microsoft GH-500 Sample Questions
Exam Way:Online proctored exam or authorized testing center (Pearson VUE)
Pre Condition:Recommended: familiarity with GitHub, DevSecOps practices, and CI/CD pipelines. No formal prerequisites required.
Official Syllabus URL:https://learn.microsoft.com/en-us/credentials/certifications/exams/gh-500/

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Microsoft GH-500 考試大綱：

主題簡介
主題 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.
主題 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.
主題 3
  • 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 4
  • 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 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 (Q90-Q95):

問題 #90
You have a GitHub Enterprise Cloud Organization that contains public repositories and uses GitHub Advanced Security.
You need to detect vulnerability and secrets for the repositories. The solution must minimize costs.
What should you use?

答案：D

解題說明：
The correct answer option is code scanning, dependency review, and secret scanning.
Code Scanning: This feature uses CodeQL static analysis to evaluate your custom code for specific security flaws (e.g., SQL injections, cross-site scripting). This fulfills the requirement to detect code vulnerabilities.
Dependency Review: This caught-at-pull-request tool allows you to track changes in third-party packages, flagging introduced components that contain known open-source vulnerabilities. This handles vulnerability detection for dependencies.
Secret Scanning: This searches your entire Git history and branches to identify hardcoded credentials like API keys or tokens. This covers the mandatory requirement to detect secrets.
Low-Cost Efficiency: For public repositories, all three core GitHub Advanced Security (GHAS) features (code scanning, dependency review, and secret scanning) are provided free of charge by GitHub. Enabling them aligns perfectly with the goal of keeping financial costs minimized.
Incorrect:
[Not A, not D] (Push Protection): While push protection is a highly effective feature that proactive intercepts secrets before they enter the repository, it does not satisfy the core requirement to scan the existing code base for vulnerabilities.
[Not B, not D] (Copilot Secret Scanning): Copilot secret scanning relies on generative AI models to flag unstructured passwords. Because it requires a paid GitHub Copilot subscription, it violates the "low cost" constraint.
[Not C, not D] (Secret Risk Assessment): The secret risk assessment tool merely functions as a high-level administrative reporting dashboard to evaluate overall posture. It does not provide automated active scanning mechanisms or remediation alerts on repository pull requests.
Reference:
https://docs.github.com/en/get-started/learning-about-github/about-github-advanced-security


問題 #91
What action do you need to include in your workflow to upload a third-party Static Analysis Results Interchange Format (SARIF) file to a repository?

答案：A

解題說明：
Uploading a SARIF file to GitHub
You can upload SARIF files generated outside GitHub and see code scanning alerts from third- party tools in your repository Uploading a code scanning analysis with GitHub Actions To use GitHub Actions to upload a third-party SARIF file to a repository, you'll need a workflow.
Your workflow will need to use the upload-sarif action, which is part of the github/codeql-action repository. It has input parameters that you can use to configure the upload. The main input parameters you'll use are:
sarif_file, which configures the file or directory of SARIF files to be uploaded. The directory or file path is relative to the root of the repository.
category (optional), which assigns a category for results in the SARIF file. This enables you to analyze the same commit in multiple ways and review the results using the code scanning views in GitHub. For example, you can analyze using multiple tools, and in mono-repos, you can analyze different slices of the repository based on the subset of changed files.


問題 #92
What does a CodeQL database of your repository contain?

答案：D

解題說明：
CodeQL databases contain queryable data extracted from a codebase, for a single language at a particular point in time. The database contains a full, hierarchical representation of the code, including a representation of the abstract syntax tree, the data flow graph, and the control flow graph.
Each language has its own unique database schema that defines the relations used to create a database. The schema provides an interface between the initial lexical analysis during the extraction process, and the actual complex analysis using CodeQL. The schema specifies, for instance, that there is a table for every language construct.
For each language, the CodeQL libraries define classes to provide a layer of abstraction over the database tables. This provides an object-oriented view of the data which makes it easier to write queries.


問題 #93
Which GitHub security feature should you use to see details of any vulnerable dependency versions within a pull request?

答案：C

解題說明：
Dependency review helps you understand dependency changes and the security impact of these changes at every pull request. It provides an easily understandable visualization of dependency changes with a rich diff on the "Files Changed" tab of a pull request. Dependency review informs you of:
Which dependencies were added, removed, or updated, along with the release dates How many projects use these components Vulnerability data for these dependencies


問題 #94
As a developer with write access, you navigate to a code scanning alert in your repository. When will GitHub close this alert?

答案：C

解題說明：
GitHub automatically closes a code scanning alert when the vulnerable code is fixed in the same branch where the alert was generated , usually via a commit inside a pull request . Simply clicking or triaging an alert does not resolve it. The alert is re-evaluated after each push to the branch, and if the issue no longer exists, it is marked as resolved.
: GitHub Docs - Code Scanning Alerts Lifecycle


問題 #95
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