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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 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 3
  • 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 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.

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最新的 GitHub Administrator GH-500 免費考試真題 (Q124-Q129):

問題 #124
Which CodeQL query suite provides queries of lower severity than the default query suite?

答案:C

解題說明:
The security-extended query suite includes additional CodeQL queries that detect lower severity issues than those in the default security-and-quality suite.
It's often used when projects want broader visibility into code hygiene and potential weak spots beyond critical vulnerabilities.
The other options listed are paths to language packs, not query suites themselves.


問題 #125
What is the minimum role needed in order to view the secret scanning alerts list within the Security tab of a repository?

答案:A

解題說明:
Viewing and filtering alerts from secret scanning
Who can use this feature?
Repository owners, organization owners, security managers, and users with the admin role Note: About the secret scanning alerts page When you enable secret scanning for a repository or push commits to a repository with secret scanning enabled, GitHub scans the contents for secrets that match patterns defined by service providers.
When secret scanning detects a secret, GitHub generates an alert. GitHub displays an alert in the Security tab of the repository


問題 #126
Which of the following is the most complete method for Dependabot to find vulnerabilities in third-party dependencies?

答案:A

解題說明:
Dependabot builds a dependency graph by analyzing package manifests and lockfiles in your repository. This graph includes both direct and transitive dependencies. It then compares this graph against the GitHub Advisory Database, which includes curated, security-reviewed advisories.
This method provides a comprehensive and automated way to discover all known vulnerabilities across your dependency tree.


問題 #127
A colleague ignores a code scanning alert. What are the implications of the colleague's action?
Each answer presents part of the solution. (Choose three.)

答案:B,C,E

解題說明:
If you configure code scanning using CodeQL, you can also find data-flow problems in your code.
Data-flow analysis finds potential security issues in code, such as: using data insecurely[C], passing dangerous arguments to functions [D], and leaking sensitive information[B].
When code scanning reports data-flow alerts, GitHub shows you how data moves through the code. Code scanning allows you to identify the areas of your code that leak sensitive information, and that could be the entry point for attacks by malicious users.


問題 #128
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:B

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 #129
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GH-500資訊: https://www.vcesoft.com/GH-500-pdf.html

P.S. VCESoft在Google Drive上分享了免費的2026 Microsoft GH-500考試題庫:https://drive.google.com/open?id=1nrpdNNlLyqTXoIS49j4TIxK3En-cMY0X