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Microsoft GH-500 Exam Overview:
| Certification Vendor: | Microsoft |
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| Exam Name: | GH-500: GitHub Advanced Security |
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| Exam Number: | GH-500 |
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| Certificate Validity Period: | 1 year |
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| Exam Duration: | 100 minutes |
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| Exam Price: | $99 USD |
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| Available Languages: | Arabic (Saudi Arabia), Korean, German, English, Japanese, French, Portuguese (Brazil), Chinese (Simplified), Spanish |
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| Real Exam Qty: | 40โ60 |
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| Exam Format: | Multiple-choice, Interactive tasks, Scenario-based |
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| Passing Score: | 700 / 1000 |
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| Recommended Training: | Course GH-500T00: GitHub Advanced Security GitHub Advanced Security Learning Path |
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| Exam Registration: | Microsoft Learn Exam Registration Pearson VUE Scheduling |
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| Sample Questions: | Microsoft GH-500 Sample Questions |
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| Exam Way: | Online proctored or onsite testing via Pearson VUE |
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| Pre Condition: | Familiarity with GitHub fundamentals, CI/CD pipelines, and secure development practices; no mandatory prerequisite exams |
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| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/gh-500 |
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Quiz Microsoft - GH-500 - The Best GitHub Advanced Security Related Exams
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| Topic | Details |
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| Topic 1 | - 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.
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| Topic 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.
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| Topic 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.
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| Topic 4 | - 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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| Topic 5 | - 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.
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Microsoft GitHub Advanced Security Sample Questions (Q104-Q109):
NEW QUESTION # 104
In the pull request, how can developers avoid adding new dependencies with known vulnerabilities?
- A. Enable Dependabot security updates.
- B. Add a workflow with the dependency review action.
- C. Add Dependabot rules.
- D. Enable Dependabot alerts.
Answer: B
Explanation:
To detect and block vulnerable dependencies before merge , developers should use the Dependency Review GitHub Action in their pull request workflows. It scans all proposed dependency changes and flags any packages with known vulnerabilities.
This is a preventative measure during development, unlike Dependabot, which reacts after the fact .
: GitHub Docs - Dependency Review Action
NEW QUESTION # 105
Where can you use CodeQL analysis for code scanning? (Each answer presents part of the solution. Choose two.)
- A. In an external continuous integration (CI) system
- B. In a workflow
- C. In the Files changed tab of the pull request
- D. In a third-party Git repository
Answer: A,B
Explanation:
In a workflow: GitHub Actions workflows are the most common place for CodeQL code scanning. The codeql-analysis.yml defines how the analysis runs and when it triggers.
In an external CI system: GitHub allows you to run CodeQL analysis outside of GitHub Actions. Once complete, the results can be uploaded using the upload-sarif action to make alerts visible in the repository.
You cannot run or trigger analysis from third-party repositories directly, and the Files changed tab in pull requests only shows diff - not analysis results.
NEW QUESTION # 106
Hotspot Question
You have a GitHub Enterprise Cloud Organization that uses GitHub Code Security.
You need to create a security campaign to remediate cross-site scripting (XSS) vulnerabilities identified by code scanning. The campaign must meet the following requirements:
- Include only alerts that support automatic remediation.
- Include only alerts associated with cross-site scripting (CWE-79).
- Enable eligible security administrators to manage and track the
campaign.
How should you configure the campaign? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation:
Box 1: cwe:79 autofix:supported
To target code scanning alerts for your security campaign that specifically associate with cross- site scripting (CWE-79) and support automatic remediation via Copilot Autofix, you should use the following alert selection filter string:
To narrow your security campaign to exactly what you need, use the following syntax in the search/filter bar: cwe:79 autofix:supported Box 2: Select organization owners or security managers as campaign managers.
To configure campaign managers for a security campaign in a GitHub Enterprise Cloud Organization, you must grant the eligible administrators either the Organization Owner role or the Security Manager role. Only users assigned to these specific roles have the mandatory, organization-wide administrative privileges required to create, manage, and track security campaigns.
Reference:
https://docs.github.com/en/code-security/tutorials/secure-your-organization/best-practice-fix-alerts-at-scale
https://docs.github.com/en/enterprise-cloud@latest/code-security/tutorials/secure-your-organization/best-practice-fix-alerts-at-scale
NEW QUESTION # 107
A repository's dependency graph includes:
- A. Dependencies parsed from a repository's manifest and lock files.
- B. A summary of the dependencies used in your organization's repositories.
- C. Annotated code scanning alerts from your repository's dependencies.
- D. Dependencies from all your repositories.
Answer: A
Explanation:
The dependency graph in a repository is built by parsing manifest and lock files (like package.json, pom.xml, requirements.txt). It helps GitHub detect dependencies and cross-reference them with known vulnerability databases for alerting.
It is specific to each repository and does not show org-wide or cross-repo summaries.
NEW QUESTION # 108
Which CodeQL query suite provides queries of lower severity than the default query suite?
- A. security-extended
- B. github/codeql/cpp/ql/src@main
- C. github/codeql-go/ql/src@main
Answer: A
Explanation:
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.
NEW QUESTION # 109
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