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Microsoft GH-500 Exam Overview:

Certification Vendor:Microsoft
Exam Name:GitHub Advanced Security
Exam Number:GH-500
Real Exam Qty:40-60
Exam Duration:120 minutes
Related Certifications:GitHub Advanced Security Certification
Available Languages:English, French, Korean, Spanish, Chinese (Simplified), Japanese, German
Exam Price:$165 USD
Passing Score:700 out of 1000
Exam Format:Case study, Multiple choice, Drag and drop
Certificate Validity Period:1 year
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:

TopicDetails
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.
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
  • 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 4
  • 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 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 (Q47-Q52):

NEW QUESTION # 47
Which of the following tasks can be performed by a security team as a proactive measure to help address secret scanning alerts? Each answer presents a complete solution. (Choose two.)

Answer: A,D

Explanation:
[D] Integrate Secret Scanning into the Development Lifecycle:
*-> Pre-commit hooks:
Implement pre-commit hooks in version control systems to scan code for secrets before they are even committed.
[B] Implement a Comprehensive Secret Scanning Policy:
Define Secrets: Clearly define what constitutes a secret within your organization.
Scanning Scope: Specify which environments and repositories need to be scanned and how often.
Roles and Responsibilities: Define roles and responsibilities for managing secret scanning and remediation.
Incorrect:
[A] You can manage the lifecycle of your enterprise's user accounts from your identity provider (IdP) using System for Cross-domain Identity Management (SCIM).


NEW QUESTION # 48
What is a security policy?

Answer: C

Explanation:
A security policy is defined by a SECURITY.md file in the root of your repository or .github/ directory. This file informs contributors and security researchers about how to responsibly report vulnerabilities. It improves your project's transparency and ensures timely communication and mitigation of any reported issues.
Adding this file also enables a "Report a vulnerability" button in the repository's Security tab.


NEW QUESTION # 49
What do you need to do before you can define a custom pattern for a repository?

Answer: B

Explanation:
Before defining a custom pattern, you must ensure that you enable secret scanning for the repositories that you want to scan in your organization. You can use security configurations to enable secret scanning on all repositories in your organization.


NEW QUESTION # 50
Your security team requested that you enable the dependency graph. What happens when you enable this feature for your repository?

Answer: D

Explanation:
Enabling the dependency graph allows GitHub to analyze supported manifest and lock files and build a representation of the repository's direct and transitive dependencies. GitHub receives read-only access to the dependency files, parses supported manifests when the feature is first enabled, and then updates the graph as repository content changes. Dependabot alerts and Dependabot security updates are separate capabilities:
enabling the dependency graph alone does not automatically mean that security-update pull requests will be generated. Likewise, the dependency graph setting for one repository does not require administrators to manually enable dependency information for every newly created repository unless their organization's configuration requires that behavior. Therefore, the applicable result among the supplied options is that repository administrators can view the dependency information exposed by the dependency graph.


NEW QUESTION # 51
Secret scanning will scan:

Answer: C

Explanation:
Secret scanning automatically scans your repository's contents for sensitive data, such as API keys, passwords, tokens, and other secrets. It looks for patterns and heuristics that match known types of secrets.
Secret scanning is available for the following repository types:
Public repositories on GitHub.com
Organization-owned repositories on GitHub Team with GitHub Secret Protection enabled


NEW QUESTION # 52
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