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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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| Exam Format: | Interactive tasks, Multiple-choice, Scenario-based |
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| Passing Score: | 700 / 1000 |
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| Available Languages: | Spanish, Arabic (Saudi Arabia), English, Portuguese (Brazil), French, German, Chinese (Simplified), Korean, Japanese |
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| Exam Price: | $99 USD |
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| Certificate Validity Period: | 1 year |
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| Real Exam Qty: | 40–60 |
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| Exam Duration: | 100 minutes |
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| Recommended Training: | Course GH-500T00: GitHub Advanced Security GitHub Advanced Security Learning Path |
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| Exam Registration: | Pearson VUE Scheduling Microsoft Learn Exam Registration |
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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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| Topic | Details |
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| 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.
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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 | - 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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| Topic 5 | - 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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Microsoft GitHub Advanced Security Sample Questions (Q123-Q128):
NEW QUESTION # 123
Which of the following is the best way to prevent developers from adding secrets to the repository?
- A. Enable push protection.
- B. Configure a security manager.
- C. Create a CODEOWNERS file.
- D. Make the repository public.
Answer: A
Explanation:
Enabling push protection for your repository
With push protection, secret scanning blocks contributors from pushing secrets to a repository and generates an alert whenever a contributor bypasses the block.
NEW QUESTION # 124
What is code scanning?
- A. a feature that scans repositories for known types of secrets, to prevent fraudulent use of secrets that were committed accidentally
- B. a feature that analyzes the code in a GitHub repository to find security vulnerabilities and coding errors
- C. a feature to privately discuss, fix, and publish information about security vulnerabilities in your repository
- D. a feature to identify all your project's dependencies
Answer: B
Explanation:
GitHub's Code scanning is a feature that analyzes the code in a GitHub repository to find security vulnerabilities and coding errors, providing alerts in the repository and offering tools to triage, prioritize, and fix issues. It acts as a Static Application Security Testing (SAST) tool, using engines like CodeQL to detect issues like SQL injection and Cross-Site Scripting (XSS), and can be triggered automatically on events like pushes and pull requests.
NEW QUESTION # 125
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 # 126
You are configuring code scanning with CodeQL. What is one impact of using a language matrix in your workflow?
- A. CodeQL will only analyze the languages in the matrix.
- B. CodeQL is configured to run analysis sequentially.
- C. CodeQL excludes alerts for those dependencies specified in the language matrix.
- D. You can use the languages parameter under the init action.
Answer: A
NEW QUESTION # 127
Secret scanning will scan:
- A. A continuous integration system.
- B. The GitHub repository.
- C. Any Git repository.
- D. External services.
Answer: B
Explanation:
Secret scanning is a feature provided by GitHub that scans the contents of your GitHub repositories for known types of secrets, such as API keys and tokens. It operates within the GitHub environment and does not scan external systems, services, or repositories outside of GitHub. Its primary function is to prevent the accidental exposure of sensitive information within your GitHub-hosted code.
NEW QUESTION # 128
......
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