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Valid Test GitHub-Advanced-Security Bootcamp, GitHub-Advanced-Security Exam Question
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GitHub GitHub-Advanced-Security Exam Syllabus Topics:
Topic
Details
Topic 1
- 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 2
- 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 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.
Topic 4
- 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of a DevSecOps Engineer and covers configuring dependency management workflows to identify and remediate vulnerable or outdated packages.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 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 GitHub-Advanced-Security Exam Question - GitHub-Advanced-Security Valid Test Format
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GitHub Advanced Security GHAS Exam Sample Questions (Q40-Q45):
NEW QUESTION # 40
What step is required to run a SARIF-compatible (Static Analysis Results Interchange Format) tool on GitHub Actions?
- A. By default, the CodeQL runner automatically uploads results to GitHub on completion.
- B. The CodeQL action uploads the SARIF file automatically when it completes analysis.
- C. Update the workflow to include a final step that uploads the results.
- D. Use the CLI to upload results to GitHub.
Answer: C
Explanation:
When using a SARIF-compatible tool within GitHub Actions, it's necessary to explicitly add a step in your workflow to upload the analysis results. This is typically done using the upload-sarif action, which takes the SARIF file generated by your tool and uploads it to GitHub for processing and display in the Security tab.
Without this step, the results won't be available in GitHub's code scanning interface.
NEW QUESTION # 41
Which Dependabot configuration fields are required? (Each answer presents part of the solution. Choose three.)
- A. milestone
- B. directory
- C. package-ecosystem
- D. schedule.interval
- E. allow
Answer: B,C,D
Explanation:
Comprehensive and Detailed Explanation:
When configuring Dependabot via the dependabot.yml file, the following fields are mandatory for each update configuration:
directory: Specifies the location of the package manifest within the repository. This tellsDependabot where to look for dependency files.
package-ecosystem: Indicates the type of package manager (e.g., npm, pip, maven) used in the specified directory.
schedule.interval: Defines how frequently Dependabot checks for updates (e.g., daily, weekly). This ensures regular scanning for outdated or vulnerable dependencies.
The milestone field is optional and used for associating pull requests with milestones. The allow field is also optional and used to specify which dependencies to update.
GitLab
NEW QUESTION # 42
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 the pull request checks are successful
- C. When Dependabot creates a pull request to update dependencies
- D. When you dismiss the Dependabot alert
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 # 43
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. Additional match requirements for the secret format
- B. The secret format
- C. The name of the pattern
- D. A list of repositories to scan
Answer: B,C
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 # 44
When using CodeQL, what extension stores query suite definitions?
- A. .yml
- B. .ql
- C. .qls
- D. .qll
Answer: C
Explanation:
Query suite definitions in CodeQL are stored using the .qls file extension. A query suite defines a collection of queries to be run during an analysis and allows for grouping them based on categories like language, security relevance, or custom filters.
In contrast:
* .ql files are individual queries.
* .qll files are libraries used by .ql queries.
* .yml is used for workflows, not query suites.
NEW QUESTION # 45
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