Quiz 2026 GH-500: GitHub Advanced Security High Hit-Rate Latest Exam Test

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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 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 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 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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Microsoft GitHub Advanced Security Sample Questions (Q50-Q55):

NEW QUESTION # 50
Why should you dismiss a code scanning alert?

Answer: B

Explanation:
You should dismiss a code scanning alert if the flagged code is not a true security concern, such as:
Code in test files
Code paths that are unreachable or safe by design
False positives from the scanner
Fixing the code would automatically resolve the alert - not dismiss it. Dismissing is for valid exceptions or noise reduction.


NEW QUESTION # 51
Secret scanning will ignore a secret_scanning.yml file that:

Answer: A

Explanation:
GitHub documents a size limit for the .github/secret_scanning.yml configuration file. If the file is larger than
1 MB, secret scanning ignores the entire configuration file. This file is used primarily to define paths-ignore entries for directories or files where matching secrets should automatically be excluded or alerts closed as ignored by configuration. There is also a separate limit on path exclusions: if paths-ignore contains more than
1,000 entries, GitHub processes only the first 1,000 directories rather than ignoring the complete configuration file. Therefore, the 1,000-entry condition has different behavior from exceeding the file-size limit. A 100 KB file remains below GitHub's documented threshold. Consequently, option B accurately identifies the condition that causes the entire secret_scanning.yml file to be ignored.


NEW QUESTION # 52
You are a maintainer of a repository and Dependabot notifies you of a vulnerability. Where could the vulnerability have been disclosed? Each answer presents part of the solution. (Choose two.)

Answer: A,B

Explanation:
C: GitHub may send Dependabot alerts to repositories affected by a vulnerability disclosed by a recently published GitHub security advisory.
D: The Dependabot security updates feature is available for repositories where you have enabled the dependency graph and Dependabot alerts. You will see a Dependabot alert for every vulnerable dependency identified in your full dependency graph. However, security updates are triggered only for dependencies that are specified in a manifest or lock file.


NEW QUESTION # 53
Where can you use CodeQL analysis for code scanning? Each answer presents part of the solution. (Choose two.)

Answer: C,D


NEW QUESTION # 54
Which of the following options are code scanning application programming interface (API) endpoints? (Each answer presents part of the solution. Choose two.)

Answer: B,D

Explanation:
The GitHub Code Scanning API includes endpoints that allow you to:
* List alerts for a repository (filtered by branch, state, or tool) - useful for monitoring security over time.
* Get a single alert by its ID to inspect its metadata, status, and locations in the code.
However, GitHub does not support modifying the severity of alerts via API - severity is defined by the scanning tool (e.g., CodeQL). Likewise, alerts cannot be deleted via the API; they are resolved by fixing the code or dismissing them manually.
: GitHub Docs - Code Scanning REST API


NEW QUESTION # 55
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