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GitHub-Advanced-Security Test Certification Cost & GitHub-Advanced-Security Test Engine Version

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GitHub GitHub-Advanced-Security Exam Syllabus Topics:

Topic
Details

Topic 1

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of a DevSecOps Engineer and covers configuring dependency management workflows to identify and remediate vulnerable or outdated packages.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

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 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

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.

GitHub Advanced Security GHAS Exam Sample Questions (Q39-Q44):

NEW QUESTION # 39
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. Analyze code
B. Process alerts
C. Upload scan results
D. Install the CLI
E. Write queries

Answer: A,C,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 # 40
What is a security policy?

A. An automatic detection of security vulnerabilities and coding errors in new or modified code
B. A file in a GitHub repository that provides instructions to users about how to report a security vulnerability
C. An alert about dependencies that are known to contain security vulnerabilities
D. A security alert issued to a community in response to a vulnerability

Answer: B

Explanation:
A security policy is defined by a SECURITY.md file in the root of your repository or .github/ directory. This file informs contributors and security researchers about how to responsibly report vulnerabilities. It improves your project's transparency and ensures timely communication and mitigation of any reported issues.
Adding this file also enables a "Report a vulnerability" button in the repository's Security tab.

NEW QUESTION # 41
Which of the following benefits do code scanning, secret scanning, and dependency review provide?

A. Search for potential security vulnerabilities, detect secrets, and show the full impact of changes to dependencies
B. Confidentially report security vulnerabilities and privately discuss and fix security vulnerabilities in your repository's code
C. View alerts about dependencies that are known to contain security vulnerabilities
D. Automatically raise pull requests, which reduces your exposure to older versions of dependencies

Answer: A

Explanation:
These three features provide a complete layer of defense:
* Code scanningidentifies security flaws in your source code
* Secret scanningdetects exposed credentials
* Dependency reviewshows the impact of package changes during a pull request Together, they give developers actionable insight into risk and coverage throughout the SDLC.

NEW QUESTION # 42
If default code security settings have not been changed at the repository, organization, or enterprise level, which repositories receive Dependabot alerts?

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

Answer: C

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 # 43
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. Ignore paths.
C. Use jobs.analyze.runs-on.
D. Upload compiled binaries.
E. Implement custom build steps.
F. Use CodeQL's autobuild action.

Answer: E,F

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 # 44
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