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GitHub GitHub-Advanced-Security Exam Syllabus Topics:
Topic
Details
Topic 1
- Configure and use dependency management: This section of the exam measures skills of a DevSecOps Engineer and covers configuring dependency management workflows to identify and remediate vulnerable or outdated packages. Candidates will show how to enable Dependabot for version updates, review dependency alerts, and integrate these tools into automated CI
- CD pipelines to maintain secure software supply chains.
Topic 2
- Configure GitHub Advanced Security tools in GitHub Enterprise: This section of the exam measures skills of a GitHub Administrator and covers integrating GHAS features into GitHub Enterprise Server or Cloud environments. Examinees must know how to enable advanced security at the enterprise level, manage licensing, and ensure that scanning and alerting services operate correctly across multiple repositories and organizational units.
Topic 3
- Describe GitHub Advanced Security best practices: This section of the exam measures skills of a GitHub Administrator and covers outlining recommended strategies for adopting GitHub Advanced Security at scale. Test?takers will explain how to apply security policies, enforce branch protections, shift left security checks, and use metrics from GHAS tools to continuously improve an organization’s security posture.
Topic 4
- Configure and use code scanning: This section of the exam measures skills of a DevSecOps Engineer and covers enabling and customizing GitHub code scanning with built?in or marketplace rulesets. Examinees must know how to interpret scan results, triage findings, and configure exclusion or override settings to reduce noise and focus on high?priority vulnerabilities.
Topic 5
- Describe the GHAS security features and functionality: This section of the exam measures skills of a GitHub Administrator and covers identifying and explaining the built?in security capabilities that GitHub Advanced Security provides. Candidates should be able to articulate how features such as code scanning, secret scanning, and dependency management integrate into GitHub repositories and workflows to enhance overall code safety.
GitHub Advanced Security GHAS Exam Sample Questions (Q60-Q65):
NEW QUESTION # 60
You have enabled security updates for a repository. When does GitHub mark a Dependabot alert as resolved for that repository?
- A. When Dependabot creates a pull request to update dependencies
- B. When you merge a pull request that contains a security update
- C. When the pull request checks are successful
- D. When you dismiss the Dependabot alert
Answer: B
Explanation:
A Dependabot alert is marked asresolvedonly after the relatedpull request is mergedinto 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.
NEW QUESTION # 61
Which details do you have to provide to create a custom pattern for secret scanning? (Each answer presents part of the solution. Choose two.)
- A. A list of repositories to scan
- B. The secret format
- C. Additional match requirements for the secret format
- D. The name of the pattern
Answer: B,D
Explanation:
When defining a custom pattern for secret scanning, two key fields are required:
* Name of the pattern: A unique label to identify the pattern
* Secret format: A regular expression that defines what the secret looks like (e.g., token format) You can optionally specifyadditional match requirements(like required context keywords), but they're not mandatory. Listing repositories is also not part of the required fields during pattern creation.
NEW QUESTION # 62
When using CodeQL, how does extraction for compiled languages work?
- A. By monitoring the normal build process
- B. By running directly on the source code
- C. By generating one language at a time
- D. By resolving dependencies to give an accurate representation of the codebase
Answer: A
Explanation:
For compiled languages, CodeQL performs extraction bymonitoring the normal build process. This means it watches your usual build commands (like make, javac, or dotnet build) and extracts the relevant data from the actual build steps being executed. CodeQL uses this information to construct a semantic database of the application.
This approach ensures that CodeQL captures a precise, real-world representation of the code and its behavior as it is compiled, including platform-specific configurations or conditional logic used during build.
NEW QUESTION # 63
Which of the following benefits do code scanning, secret scanning, and dependency review provide?
- A. Search for potential security vulnerabilities, detect secrets, and show the full impact of changes to dependencies
- B. Automatically raise pull requests, which reduces your exposure to older versions of dependencies
- C. View alerts about dependencies that are known to contain security vulnerabilities
- D. Confidentially report security vulnerabilities and privately discuss and fix security vulnerabilities in your repository's code
Answer: A
Explanation:
These three features provide a complete layer of defense:
* Code scanningidentifies security flaws in your source code
* Secret scanningdetects exposed credentials
* Dependency reviewshows the impact of package changes during a pull request Together, they give developers actionable insight into risk and coverage throughout the SDLC.
NEW QUESTION # 64
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. Scans repositories for vulnerable dependencies on a schedule and adds those files to a manifest
- B. Constructs a graph of all the repository's dependencies and public dependents for the default branch
- C. Creates a pull request to upgrade the vulnerable dependency to the minimum possible secure version
- D. Scans any push to all branches and generates an alert for each vulnerable repository
Answer: C
Explanation:
After generating an alert for a vulnerable dependency, Dependabot automatically attempts to create a pull request to upgrade that dependency to theminimum 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.
NEW QUESTION # 65
......
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