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GitHub-Advanced-Security Customized Lab Simulation - GitHub-Advanced-Security Valid Exam Bootcamp

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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

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of a DevSecOps Engineer and covers configuring dependency management workflows to identify and remediate vulnerable or outdated packages.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

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GitHub Advanced Security GHAS Exam Sample Questions (Q67-Q72):

NEW QUESTION # 67
When using CodeQL, how does extraction for compiled languages work?

A. By running directly on the source code
B. By generating one language at a time
C. By monitoring the normal build process
D. By resolving dependencies to give an accurate representation of the codebase

Answer: C

Explanation:
For compiled languages, CodeQL performs extraction bymonitoring the normal build process. This means it watches your usual build commands (like make, javac, or dotnet build) and extracts the relevant data from the actual build steps being executed. CodeQL uses this information to construct a semantic database of the application.
This approach ensures that CodeQL captures a precise, real-world representation of the code and its behavior as it is compiled, including platform-specific configurations or conditional logic used during build.

NEW QUESTION # 68
A secret scanning alert should be closed as "used in tests" when a secret is:

A. Not a secret in the production environment.
B. In a test file.
C. In the readme.md file.
D. Solely used for tests.

Answer: D

Explanation:
If a secret isintentionally used in a test environmentandposes no real-world security risk, you may close the alert with the reason"used in tests". This helps reduce noise and clarify that the alert was reviewed and accepted as non-critical.
Just being in a test file isn't enough unless itspurpose is purely for testing.

NEW QUESTION # 69
You are a maintainer of a repository and Dependabot notifies you of a vulnerability. Where could the vulnerability have been disclosed? (Each answer presents part of the solution. Choose two.)

A. In security advisories reported on GitHub
B. In manifest and lock files
C. In the National Vulnerability Database
D. In the dependency graph

Answer: A,C

Explanation:
Comprehensive and Detailed Explanation:
Dependabot alerts are generated based on data from various sources:
National Vulnerability Database (NVD): A comprehensive repository of known vulnerabilities, which GitHub integrates into its advisory database.
GitHub Docs
Security Advisories Reported on GitHub: GitHub allows maintainers and security researchers to report and discuss vulnerabilities, which are then included in the advisory database.
The dependency graph and manifest/lock files are tools used by GitHub to determine which dependencies are present in a repository but are not sources of vulnerability disclosures themselves.

NEW QUESTION # 70
Which of the following Watch settings could you use to get Dependabot alert notifications? (Each answer presents part of the solution. Choose two.)

A. The Custom setting
B. The Ignore setting
C. The All Activity setting
D. The Participating and @mentions setting

Answer: A,C

Explanation:
Comprehensive and Detailed Explanation:
To receive Dependabot alert notifications for a repository, you can utilize the following Watch settings:
Custom setting: Allows you to tailor your notifications, enabling you to subscribe specifically to security alerts, including those from Dependabot.
All Activity setting: Subscribes you to all notifications for the repository, encompassing issues, pull requests, and security alerts like those from Dependabot.
The Participating and @mentions setting limits notifications to conversations you're directly involved in or mentioned, which may not include security alerts. The Ignore setting unsubscribes you from all notifications, including critical security alerts.
GitHub Docs
+1
GitHub Docs
+1

NEW QUESTION # 71
What YAML syntax do you use to exclude certain files from secret scanning?

A. secret scanning.yml
B. paths-ignore:
C. branches-ignore:
D. decrypt_secret.sh

Answer: B

Explanation:
To exclude specific files or directories from being scanned by secret scanning in GitHub Actions, you can use thepaths-ignore:key within your YAML workflow file.
This tells GitHub toignore specified pathswhen scanning for secrets, which can be useful for excluding test data or non-sensitive mock content.
Other options listed are invalid:
* branches-ignore: excludes branches, not files.
* decrypt_secret.sh is not a YAML key.
* secret scanning.yml is not a recognized filename for configuration.

NEW QUESTION # 72
......

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