Microsoft GH-500 Latest Exam Duration & Exam GH-500 Questions Answers

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Microsoft GH-500 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • 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 3
  • 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 4
  • 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 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.

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Microsoft GitHub Advanced Security Sample Questions (Q51-Q56):

NEW QUESTION # 51
In the pull request, how can developers avoid adding new dependencies with known vulnerabilities?

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 # 52
Which of the following is the best way to dispose of a compromised secret?

Answer: C

Explanation:
Remediating a leaked secret in your repository
Revoke the secret
It is not sufficient to simply remove the secret from your codebase. The most important remediation step is revoking the secret with the secret's provider. By revoking the secret, you drastically reduce the potential for the secret to be exploited.
Note:
You should consider any leaked secret to be immediately compromised and it is essential that you undertake proper remediation steps, such as revoking the secret. Simply removing the secret from the codebase, pushing a new commit, or deleting and recreating the repository do not prevent the secret from being exploited.


NEW QUESTION # 53
Which two pieces of information should be included in a security advisory?

Answer: A


NEW QUESTION # 54
Which syntax in a query suite tells CodeQL to look for one or more specified .ql files?

Answer: C


NEW QUESTION # 55
A colleague ignores a code scanning alert. What are the implications of the colleague's action? (Each answer presents part of the solution. Choose three.)

Answer: B,D,E

Explanation:
Ignoring an unresolved code scanning alert leaves the underlying security issue present in the application.
GitHub identifies several risks through CodeQL data-flow analysis, including data being used insecurely, dangerous arguments reaching sensitive functions, and sensitive information being leaked. These are precisely the kinds of vulnerabilities for which code scanning traces data from a source to a potentially unsafe sink.
GitHub does not automatically remove an unresolved alert merely because sixty days have elapsed. Likewise, webhooks and the code scanning API can expose alert events and enable integrations, but they do not automatically eliminate the vulnerability. Proper remediation requires fixing the affected code or intentionally dismissing an alert with an appropriate reason after security review. Therefore, A, B, and E describe the relevant security implications.


NEW QUESTION # 56
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