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Topic |
Details |
Topic 1 |
- 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.
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Topic 2 |
- Configure and use secret scanning: This section of the exam measures skills of a DevSecOps Engineer and covers setting up and managing secret scanning in organizations and repositories. Test?takers must demonstrate how to enable secret scanning, interpret the alerts generated when sensitive data is exposed, and implement policies to prevent and remediate credential leaks.
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Topic 3 |
- 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.
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Topic 4 |
- Use code scanning with CodeQL: This section of the exam measures skills of a DevSecOps Engineer and covers working with CodeQL to write or customize queries for deeper semantic analysis. Candidates should demonstrate how to configure CodeQL workflows, understand query suites, and interpret CodeQL alerts to uncover complex code issues beyond standard static analysis.
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Topic 5 |
- 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.
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GitHub Advanced Security GHAS Exam Sample Questions (Q49-Q54):
NEW QUESTION # 49
Which of the following steps should you follow to integrate CodeQL into a third-party continuous integration system? (Each answer presents part of the solution. Choose three.)
- A. Upload scan results
- B. Analyze code
- C. Write queries
- D. Install the CLI
- E. Process alerts
Answer: A,B,D
Explanation:
When integrating CodeQL outside of GitHub Actions (e.g., in Jenkins, CircleCI):
* Install the CLI: Needed to run CodeQL commands.
* Analyze code: Perform the CodeQL analysis on your project with the CLI.
* Upload scan results: Export the results in SARIF format and use GitHub's API to upload them to your repo's security tab.
You don't need to write custom queries unless extending functionality. "Processing alerts" happens after GitHub receives the results.
NEW QUESTION # 50
Secret scanning will scan:
- A. Any Git repository.
- B. External services.
- C. A continuous integration system.
- D. The GitHub repository.
Answer: D
Explanation:
Secret scanning is a feature provided by GitHub that scans the contents of your GitHub repositories for known types of secrets, such as API keys and tokens. It operates within the GitHub environment and does not scan external systems, services, or repositories outside of GitHub. Its primary function is to prevent the accidental exposure of sensitive information within your GitHub-hosted code.
NEW QUESTION # 51
A secret scanning alert should be closed as "used in tests" when a secret is:
- A. Solely used for tests.
- B. In a test file.
- C. Not a secret in the production environment.
- D. In the readme.md file.
Answer: A
Explanation:
If a secret isintentionally used in a test environmentandposes no real-world security risk, you may close the alert with the reason"used in tests". This helps reduce noise and clarify that the alert was reviewed and accepted as non-critical.
Just being in a test file isn't enough unless itspurpose is purely for testing.
NEW QUESTION # 52
Assuming that no custom Dependabot behavior is configured, who has the ability to merge a pull request created via Dependabot security updates?
- A. A repository member of an enterprise organization
- B. A user who has write access to the repository
- C. An enterprise administrator
- D. A user who has read access to the repository
Answer: B
Explanation:
Comprehensive and Detailed Explanation:
By default, users with write access to a repository have the ability to merge pull requests, including those created by Dependabot for security updates. This access level allows contributors to manage and integrate changes, ensuring that vulnerabilities are addressed promptly.
Users with only read access cannot merge pull requests, and enterprise administrators do not automatically have merge rights unless they have write or higher permissions on the specific repository.
NEW QUESTION # 53
What does a CodeQL database of your repository contain?
- A. Build commands for C/C++, C#, and Java
- B. A build of the code and extracted data
- C. A representation of all of the source code GitHub Agentic AI for AppSec Teams
- D. A build for Go projects to set up the project
Answer: B
Explanation:
Comprehensive and Detailed Explanation:
A CodeQL database contains a representation of your codebase, including the build of the code and extracted data. This database is used to run CodeQL queries to analyze your code for potential vulnerabilities and errors.
GitHub Docs
NEW QUESTION # 54
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