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[General] GitHub-Advanced-Security Test Guide, Learning GitHub-Advanced-Security Materials

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【General】 GitHub-Advanced-Security Test Guide, Learning GitHub-Advanced-Security Materials

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GitHub GitHub-Advanced-Security Exam Syllabus Topics:
TopicDetails
Topic 1
  • 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.
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.
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of a DevSecOps Engineer and covers configuring dependency management workflows to identify and remediate vulnerable or outdated packages.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 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 5
  • 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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GitHub Advanced Security GHAS Exam Sample Questions (Q58-Q63):NEW QUESTION # 58
When using the advanced CodeQL code scanning setup, what is the name of the workflow file?
  • A. codeql-scan.yml
  • B. codeql-workflow.yml
  • C. codeql-config.yml
  • D. codeql-analysis.yml
Answer: D
Explanation:
Comprehensive and Detailed Explanation:
In the advanced setup for CodeQL code scanning, GitHub generates a workflow file named codeql-analysis.
yml. This file is located in the .github/workflows directory of your repository. It defines the configuration for the CodeQL analysis, including the languages to analyze, the events that trigger the analysis, and the steps to perform during the workflow.

NEW QUESTION # 59
Why should you dismiss a code scanning alert?
  • A. If you fix the code that triggered the alert
  • B. To prevent developers from introducing new problems
  • C. If there is a production error in your code
  • D. If it includes an error in code that is used only for testing
Answer: D
Explanation:
You shoulddismissa code scanning alert if the flagged code isnot a true security concern, such as:
* Code in test files
* Code paths that are unreachable or safe by design
* False positives from the scanner
Fixing the code would automaticallyresolvethe alert - not dismiss it. Dismissing is for valid exceptions or noise reduction.

NEW QUESTION # 60
You are managing code scanning alerts for your repository. You receive an alert highlighting a problem with data flow. What do you click for additional context on the alert?
  • A. Security
  • B. Show paths
  • C. Code scanning alerts
Answer: B
Explanation:
When dealing with a data flow issue in a code scanning alert, clicking on "Show paths" provides a detailed view of the data's journey through the code. This includes the source of the data, the path it takes, and where it ends up (the sink). This information is crucial for understanding how untrusted data might reach sensitive parts of your application and helps in identifying where to implement proper validation or sanitization.

NEW QUESTION # 61
After investigating a code scanning alert related to injection, you determine that the input is properly sanitized using custom logic. What should be your next step?
  • A. Draft a pull request to update the open-source query.
  • B. Ignore the alert.
  • C. Open an issue in the CodeQL repository.
  • D. Dismiss the alert with the reason "false positive."
Answer: D
Explanation:
When you identify that a code scanning alert is a false positive-such as when your code uses a custom sanitization method not recognized by the analysis-you should dismiss the alert with the reason "false positive." This action helps improve the accuracy of future analyses and maintains the relevance of your security alerts.
As per GitHub's documentation:
"If you dismiss a CodeQL alert as a false positive result, for example because the code uses a sanitization library that isn't supported, consider contributing to the CodeQL repository and improving the analysis." By dismissing the alert appropriately, you ensure that your codebase's security alerts remain actionable and relevant.

NEW QUESTION # 62
How would you build your code within the CodeQL analysis workflow? (Each answer presents a complete solution. Choose two.)
  • A. Use CodeQL's init action.
  • B. Use jobs.analyze.runs-on.
  • C. Implement custom build steps.
  • D. Use CodeQL's autobuild action.
  • E. Upload compiled binaries.
  • F. Ignore paths.
Answer: C,D
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 # 63
......
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