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Microsoft GH-500 Exam Overview:

Certification Vendor:	Microsoft
Exam Name:	GitHub Advanced Security
Exam Number:	GH-500
Certificate Validity Period:	1 year
Exam Duration:	120 minutes
Real Exam Qty:	40-60
Available Languages:	Spanish, English, Japanese, German, Chinese (Simplified), Korean, French
Exam Format:	Multiple choice, Case study, Drag and drop
Passing Score:	700 out of 1000
Related Certifications:	GitHub Advanced Security Certification
Exam Price:	$165 USD
Sample Questions:	Microsoft GH-500 Sample Questions
Exam Way:	Online (Proctored) or In-person at a testing center
Pre Condition:	No mandatory prerequisites. Recommended to have experience with GitHub and basic understanding of security concepts.
Official Syllabus URL:	https://learn.microsoft.com/en-us/credentials/certifications/github-advanced-security/

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Microsoft GH-500 Exam Syllabus Topics:

Topic	Details
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	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 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	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.

Microsoft GitHub Advanced Security Sample Questions (Q41-Q46):

NEW QUESTION # 41
How does GitHub Advanced Security (GHAS) help integrate security into each step of the software development life cycle?

A. By generating alerts for outdated dependencies in a project.
B. By automating security checks with every pull request, surfacing issues in the context of the development workflow.
C. By providing a comprehensive dashboard summarizing the security status of the repository.
D. By providing access to curated security intelligence from millions of developers and security researchers around the world.

Answer: B

NEW QUESTION # 42
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.)

A. In the dependency graph
B. In security advisories reported on GitHub
C. In the National Vulnerability Database
D. In manifest and lock files

Answer: B,C

Explanation:
Comprehensive and Detailed Explanation:
Dependabot alerts are generated based on data from various sources:
National Vulnerability Database (NVD): A comprehensive repository of known vulnerabilities, which GitHub integrates into its advisory database.
GitHub Docs
Security Advisories Reported on GitHub: GitHub allows maintainers and security researchers to report and discuss vulnerabilities, which are then included in the advisory database.
The dependency graph and manifest/lock files are tools used by GitHub to determine which dependencies are present in a repository but are not sources of vulnerability disclosures themselves.

NEW QUESTION # 43
After investigating a code scanning alert related to injection, you determine that the input is properly sanitized using custom logic. What should be your next step?

A. Open an issue in the CodeQL repository.
B. Draft a pull request to update the open-source query.
C. Ignore the alert.
D. Dismiss the alert with the reason "false positive."

Answer: D

Explanation:
When you identify that a code scanning alert is a false positive-such as when your code uses a custom sanitization method not recognized by the analysis-you should dismiss the alert with the reason "false positive." This action helps improve the accuracy of future analyses and maintains the relevance of your security alerts.
As per GitHub's documentation:
"If you dismiss a CodeQL alert as a false positive result, for example because the code uses a sanitization library that isn't supported, consider contributing to the CodeQL repository and improving the analysis." By dismissing the alert appropriately, you ensure that your codebase's security alerts remain actionable and relevant.

NEW QUESTION # 44
What is the purpose of the SECURITY.md file in a GitHub repository?

A. security.md
B. contributing.md
C. readme.md
D. support.md

Answer: A

Explanation:
The correct place to look is the SECURITY.md file. This file provides contributors and security researchers with instructions on how to responsibly report vulnerabilities. It may include contact methods, preferred communication channels (e.g., security team email), and disclosure guidelines.
This file is considered a GitHub best practice and, when present, activates a "Report a vulnerability" button in the repository's Security tab.

NEW QUESTION # 45
What scenario demonstrates the use of Dependabot security updates?

A. A pull request is opened that updates a dependency to the most recent version.
B. An alert is created for a secret that's been exposed in the codebase.
C. A pull request is opened that fixes a vulnerable dependency.
D. An alert is created for a vulnerable dependency.

Answer: A

Explanation:
Dependabot security updates are automated pull requests generated by the GitHub tool to update project dependencies with known security vulnerabilities, such as those listed in the GitHub Advisory Database. This feature helps developers automatically patch security risks in their codebase by creating pull requests that update dependencies to the minimum secure version without breaking the dependency graph.
How Dependabot Security Updates Work
1. Vulnerability Detection: Dependabot scans your repository's dependencies and checks them against the GitHub Advisory Database.
2. Alerts: If a vulnerable dependency is detected, Dependabot sends an alert to the user.
3. Automated Pull Request: For repositories where security updates are enabled, Dependabot automatically creates a pull request to fix the vulnerability.
4. Update to Secure Version: The pull request updates the vulnerable dependency to the minimum version that contains a patch for the known security issue.
5. Resolution: The pull request provides details, including release notes and commits, and is linked to the security alert for easy review and merging.

NEW QUESTION # 46
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