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Microsoft GH-500 Exam Syllabus Topics:

Topic	Details
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	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 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 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.
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 (Q40-Q45):

NEW QUESTION # 40
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.)

A. GitHub removes the alert after sixty days.
B. Data could be used insecurely.
C. Sensitive information could be leaked.
D. A dangerous argument could be passed to functions.
E. Webhooks and the code scanning API remove the alert.

Answer: B,C,D

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 # 41
What role is required to change a repository's code scanning severity threshold that fails a pull request status check?

A. Maintain
B. Admin
C. Triage
D. Write

Answer: D

Explanation:
You can override the default behavior in your repository settings, by specifying the level of severities and security severities that will cause a pull request check failure.
Customizing your advanced setup for code scanning
You can customize how your advanced setup scans the code in your project for vulnerabilities and errors.
Who can use this feature?
Users with write access if advanced setup is already enabled
Example:
Defining the alert severities that cause a check failure for a pull request You can use rulesets to prevent pull requests from being merged when one of the following conditions is met:
A required tool found a code scanning alert of a severity that is defined in a ruleset.
A required code scanning tool's analysis is still in progress.
A required code scanning tool is not configured for the repository.

NEW QUESTION # 42
Assuming there is no custom Dependabot behavior configured, where possible, what does Dependabot do after sending an alert about a vulnerable dependency in a repository?

A. Creates a pull request to upgrade the vulnerable dependency to the minimum possible secure version
B. Constructs a graph of all the repository's dependencies and public dependents for the default branch
C. Scans repositories for vulnerable dependencies on a schedule and adds those files to a manifest
D. Scans any push to all branches and generates an alert for each vulnerable repository

Answer: A

Explanation:
After generating an alert for a vulnerable dependency, Dependabot automatically attempts to create a pull request to upgrade that dependency to the minimum required secure version -if a fix is available and compatible with your project.
This automated PR helps teams fix vulnerabilities quickly with minimal manual intervention. You can also configure update behaviors using dependabot.yml, but in the default state, PR creation is automatic.
: GitHub Docs - About Dependabot alerts; About Dependabot security updates

NEW QUESTION # 43
When does Dependabot alert you of a vulnerability in your software development process?

A. When a pull request adding a vulnerable dependency is opened
B. When Dependabot opens a pull request to update a vulnerable dependency
C. As soon as a vulnerable dependency is detected
D. As soon as a pull request is opened by a contributor

Answer: C

Explanation:
Dependabot alerts are generated as soon as GitHub detects a known vulnerability in one of your dependencies. GitHub does this by analyzing your repository's dependency graph and matching it against vulnerabilities listed in the GitHub Advisory Database. Once a match is found, the system raises an alert automatically without waiting for a PR or manual action.
This allows organizations to proactively mitigate vulnerabilities as early as possible, based on real-time detection.

NEW QUESTION # 44
Which security feature shows a vulnerable dependency in a pull request?

A. the repository's Security tab
B. dependency graph
C. Dependabot alert
D. dependency review

Answer: D

NEW QUESTION # 45
......

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