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Online GitHub GitHub-Advanced-Security Training & GitHub-Advanced-Security Prep Guide
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GitHub GitHub-Advanced-Security Exam Syllabus Topics:
Topic
Details
Topic 1
- 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.
Topic 2
- 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 3
- 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of a DevSecOps Engineer and covers configuring dependency management workflows to identify and remediate vulnerable or outdated packages.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 4
- 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.
Topic 5
- 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.
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GitHub Advanced Security GHAS Exam Sample Questions (Q53-Q58):
NEW QUESTION # 53
What is a prerequisite to define a custom pattern for a repository?
- A. Enable secret scanning
- B. Specify additional match criteria
- C. Change the repository visibility to Internal
- D. Close other secret scanning alerts
Answer: A
Explanation:
Youmust enable secret scanningbefore defining custom patterns. Secret scanning provides the foundational capability for detecting exposed credentials, and custom patterns build upon that by allowing organizations to specify their own regex-based patterns for secrets unique to their environment.
Without enabling secret scanning, GitHub will not process or apply custom patterns.
NEW QUESTION # 54
How would you build your code within the CodeQL analysis workflow? (Each answer presents a complete solution. Choose two.)
- A. Implement custom build steps.
- B. Use CodeQL's autobuild action.
- C. Use CodeQL's init action.
- D. Use jobs.analyze.runs-on.
- E. Upload compiled binaries.
- F. Ignore paths.
Answer: A,B
Explanation:
Comprehensive and Detailed Explanation:
When setting up CodeQL analysis for compiled languages, there are two primary methods to buildyour code:
GitHub Docs
Autobuild: CodeQL attempts to automatically build your codebase using the most likely build method. This is suitable for standard build processes.
GitHub Docs
Custom Build Steps: For complex or non-standard build processes, you can implement custom build steps by specifying explicit build commands in your workflow. This provides greater control over the build process.
GitHub Docs
The init action initializes the CodeQL analysis but does not build the code. The jobs.analyze.runs-on specifies the operating system for the runner but is not directly related to building the code. Uploading compiled binaries is not a method supported by CodeQL for analysis.
NEW QUESTION # 55
Which of the following secret scanning features can verify whether a secret is still active?
- A. Branch protection
- B. Custom patterns
- C. Validity checks
- D. Push protection
Answer: C
Explanation:
Validity checks, also calledsecret validation, allow GitHub to check if a detected secret isstill active. If verified as live, the alert is marked as"valid", allowing security teams to prioritize the most critical leaks.
Push protectionblockssecrets but does not check their validity. Custom patterns are user-defined and do not include live checks.
NEW QUESTION # 56
Secret scanning will scan:
- A. External services.
- B. The GitHub repository.
- C. A continuous integration system.
- D. Any Git repository.
Answer: B
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 # 57
You have enabled security updates for a repository. When does GitHub mark a Dependabot alert as resolved for that repository?
- A. When you merge a pull request that contains a security update
- B. When you dismiss the Dependabot alert
- C. When Dependabot creates a pull request to update dependencies
- D. When the pull request checks are successful
Answer: A
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 # 58
......
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