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Detail GitHub-Advanced-Security Explanation | GitHub-Advanced-Security Exam Collection Pdf

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GitHub GitHub-Advanced-Security Exam Syllabus Topics:

Topic
Details

Topic 1

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 2

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of a DevSecOps Engineer and covers configuring dependency management workflows to identify and remediate vulnerable or outdated packages.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 3

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 4

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 5

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 6

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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Pass Guaranteed GitHub - GitHub-Advanced-Security Accurate Detail Explanation

If you want to demonstrate your expertise in solving complex GitHub real-life problems, then you need to pass the GitHub GitHub-Advanced-Security certification exam. However, passing this exam is not an easy task. It requires you to master complicated subjects related to GitHub Advanced Security GHAS Exam. To help you prepare for this exam, VCE4Dumps offers verified GitHub GitHub-Advanced-Security Exam Questions that are ruling the preparation world.

GitHub Advanced Security GHAS Exam Sample Questions (Q20-Q25):

NEW QUESTION # 20
What role is required to change a repository's code scanning severity threshold that fails a pull request status check?

A. Maintain
B. Triage
C. Write
D. Admin

Answer: D

Explanation:
To change the threshold that defines whether a pull request fails due to code scanning alerts (such as blocking merges based on severity), the user must haveAdminaccess on the repository. This is because modifying these settings falls under repository configuration privileges.
Users with Write, Maintain, or Triage roles do not have the required access to modify rulesets or status check policies.

NEW QUESTION # 21
In the pull request, how can developers avoid adding new dependencies with known vulnerabilities?

A. Enable Dependabot alerts.
B. Add a workflow with the dependency review action.
C. Enable Dependabot security updates.
D. Add Dependabot rules.

Answer: B

Explanation:
To detect and blockvulnerable dependencies before merge, developers should use theDependency Review GitHub Actionin their pull request workflows. It scans all proposed dependency changes and flags any packages with known vulnerabilities.
This is apreventative measureduring development, unlike Dependabot, which reactsafter the fact.

NEW QUESTION # 22
If default code security settings have not been changed at the repository, organization, or enterprise level, which repositories receive Dependabot alerts?

A. Repositories owned by an enterprise account
B. Repositories owned by an organization
C. Private repositories
D. None

Answer: D

Explanation:
Bydefault,no repositoriesreceive Dependabot alerts unless configuration is explicitly enabled. GitHub does notenable Dependabot alerts automatically for any repositories unless:
* The feature is turned on manually
* It's configured at the organization or enterprise level via security policies This includes public, private, and enterprise-owned repositories -manual activation is required.

NEW QUESTION # 23
When does Dependabot alert you of a vulnerability in your software development process?

A. When a pull request adding a vulnerable dependency is opened
B. As soon as a vulnerable dependency is detected
C. As soon as a pull request is opened by a contributor
D. When Dependabot opens a pull request to update a vulnerable dependency

Answer: B

Explanation:
Dependabot alerts are generated as soon as GitHub detects a known vulnerability in one of your dependencies. GitHub does this by analyzing your repository's dependency graph and matching it against vulnerabilities listed in the GitHub Advisory Database. Once a match is found, the system raises an alert automatically without waiting for a PR or manual action.
This allows organizations to proactively mitigate vulnerabilities as early as possible, based on real-time detection.

NEW QUESTION # 24
When using CodeQL, what extension stores query suite definitions?

A. .qls
B. .yml
C. .qll
D. .ql

Answer: A

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 # 25
......

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Steve Bell Steve Bell

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