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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
  • 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 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
  • 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 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.

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Microsoft GitHub Advanced Security Sample Questions (Q21-Q26):

NEW QUESTION # 21
Where can a user change a repository's code scanning severity threshold that fails a pull request status check?

Answer: B

Explanation:
Code scanning merge requirements and severity thresholds are repository configuration controls and are therefore managed from the repository's Settings area. In GitHub's current interface, administrators can create a branch ruleset under Settings and configure Require code scanning results. They can then select the code scanning tool and specify alert thresholds, including which normal alerts or security-severity levels should prevent merging. The Security and quality tab is primarily where security findings are reviewed and triaged, while the Actions tab displays workflow execution information. The Pull Requests tab is used to review and merge proposed changes rather than configure repository-wide code scanning policy. Thus, although GitHub's implementation has evolved toward ruleset-based merge protection, the appropriate top-level location remains the repository's Settings tab.


NEW QUESTION # 22
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.)

Answer: A,D

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.
References: GitHub Docs - About Dependabot alerts


NEW QUESTION # 23
Which patterns are secret scanning validity checks available to?

Answer: D

Explanation:
Supported secrets
This table lists the secrets supported by secret scanning. You can see the types of alert that get generated for each token, as well as whether a validity check is performed on the token.
Provider: Name of the token provider.
Partner: Token for which leaks are reported to the relevant token partner. Applies to public repositories only.
*-> User: Token for which leaks are reported to users on GitHub.
Applies to public repositories, and to private repositories where GitHub Secret Protection and secret scanning are enabled.
-> Includes default tokens, which relate to supported patterns and specified *custom patterns*, as well as non-provider tokens such as private keys, which usually have a higher ratio of false positives.
For secret scanning to scan for non-provider patterns, the detection of non-provider patterns must be enabled for the repository or the organization.


NEW QUESTION # 24
You have enabled security updates for a repository. When does GitHub mark a Dependabot alert as resolved for that repository?

Answer: A

Explanation:
A Dependabot alert is marked as resolved only after the related pull request is merged into the repository.
This indicates that the vulnerable dependency has been officially replaced with a secure version in the active codebase.
Simply generating a PR or passing checks does not change the alert status; merging is the key step.
: GitHub Docs - About Dependabot security updates; Managing Dependabot alerts


NEW QUESTION # 25
Where can you view code scanning results from CodeQL analysis?

Answer: A

Explanation:
You can use CodeQL to identify vulnerabilities and errors in your code. The results are shown as code scanning alerts in GitHub.
Note:
Viewing the alerts for a repository
You need write permission to view a summary of all the alerts for a repository on the Security tab.
By default, the code scanning alerts page is filtered to show alerts for the default branch of the repository only.
1. On GitHub, navigate to the main page of the repository.
2. Under the repository name, click Security. If you cannot see the "Security" tab, select the dropdown menu, and then click Security.
3. In the left sidebar, click Code scanning.
4. Optionally, use the free text search box or the dropdown menus to filter alerts. For example, you can filter by the tool that was used to identify alerts.

5. Etc.


NEW QUESTION # 26
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