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Microsoft GH-500 Exam Overview:

Certification Vendor:Microsoft
Exam Name:Microsoft GitHub Advanced Security (GH-500)
Exam Number:GH-500
Exam Format:Multiple response, Scenario-based questions, Multiple choice, Case studies
Passing Score:700 (on a scale of 1000)
Available Languages:English
Related Certifications:GitHub Administration
GitHub Actions
Microsoft DevOps Engineer Expert
Real Exam Qty:40-60 (approx.)
Exam Price:$165 USD (may vary by region)
Exam Duration:120 minutes
Certificate Validity Period:1 year (renewable via Microsoft certification renewal)
Recommended Training:Microsoft Learn - GitHub Advanced Security
GitHub Advanced Security Documentation
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/

>> Latest Microsoft GH-500 Exam Practice <<

Latest GH-500 Exam Practice - Quiz 2026 First-grade GH-500: GitHub Advanced Security Updated CBT

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Microsoft GH-500 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 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.
Topic 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.
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 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.

Microsoft GitHub Advanced Security Sample Questions (Q28-Q33):

NEW QUESTION # 28
What is required to trigger code scanning on a specified branch?

Answer: D

Explanation:
Comprehensive and Detailed Explanation:
For code scanning to be triggered on a specific branch, the branch must contain the appropriate workflow file, typically located in the .github/workflows directory. This YAML file defines the code scanning configuration and specifies the events that trigger the scan (e.g., push, pull_request).
Without the workflow file in the branch, GitHub Actions will not execute the code scanning process for that branch. The repository's visibility (private or public), the status of secret scanning, or the activity level of developers do not directly influence the triggering of code scanning.


NEW QUESTION # 29
Which of the following options are code scanning application programming interface (API) endpoints? (Each answer presents part of the solution. Choose two.)

Answer: A,C

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.


NEW QUESTION # 30
The autobuild step in the CodeQL workflow has failed. What should you do?

Answer: D

Explanation:
If autobuild fails (which attempts to automatically detect how to build your project), you should disable it in your workflow and replace it with explicit build commands , using steps like run: make or run: ./gradlew build.
This ensures CodeQL can still extract and analyze the code correctly.
: GitHub Docs - CodeQL Build Configurations for Compiled Languages


NEW QUESTION # 31
Which of the following workflow events would trigger a dependency review? (Each answer presents a complete solution. Choose two.)

Answer: B,D

Explanation:
About the dependency review action
The "dependency review action" refers to the specific action that can report on differences in a pull request within the GitHub Actions context. You can use the dependency review action in your repository to enforce dependency reviews on your pull requests. [D] The action uses the dependency review REST API to get the diff of dependency changes between the base commit and head commit. You can use the dependency review API to get the diff of dependency changes, including vulnerability data, between any two commits on a repository. [A]
[D] dependency-review-action
The dependency review action scans your pull requests for dependency changes, and will raise an error if any vulnerabilities or invalid licenses are being introduced. The action is supported by an API endpoint that diffs the dependencies between any two revisions on your default branch.
Incorrect:
[Not B] The workflow_dispatch event adds a layer of flexibility and control to your GitHub workflows, enabling manual triggers with custom inputs. Whether integrating with external systems or managing deployments directly from GitHub, workflow_dispatch provides the tools necessary for robust workflow management.


NEW QUESTION # 32
What role is required to change a repository's code scanning severity threshold that fails a pull request status check?

Answer: D

Explanation:
You can override the default behavior in your repository settings, by specifying the level of severities and security severities that will cause a pull request check failure.
Customizing your advanced setup for code scanning
You can customize how your advanced setup scans the code in your project for vulnerabilities and errors.
Who can use this feature?
Users with write access if advanced setup is already enabled
Example:
Defining the alert severities that cause a check failure for a pull request You can use rulesets to prevent pull requests from being merged when one of the following conditions is met:
A required tool found a code scanning alert of a severity that is defined in a ruleset.
A required code scanning tool's analysis is still in progress.
A required code scanning tool is not configured for the repository.


NEW QUESTION # 33
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