The Microsoft GH-500 - GitHub Advanced Security Exam is part of the Microsoft GitHub Certifications track and is designed for professionals who work with GitHub security capabilities in real-world environments. It is a strong fit for developers, security engineers, DevSecOps practitioners, and administrators who want to validate their ability to protect code and dependencies. This exam matters because it measures practical security skills that help teams detect, review, and remediate risks faster. Passing it shows that you understand how to use GitHub Advanced Security features effectively across modern software delivery workflows.
| # | Exam Topics | Sub-Topics | Approximate Weightage (%) |
|---|---|---|---|
| 1 | Describe the GHAS security features and functionality | Security capabilities overview, workflow integration, supported repositories, alert visibility | 15% |
| 2 | Configure and use secret scanning | Secret detection setup, push protection, alert handling, remediation actions | 20% |
| 3 | Configure and use Dependabot and Dependency Review | Dependabot alerts, dependency updates, pull request review, vulnerable package assessment | 20% |
| 4 | Configure and use Code Scanning with CodeQL | CodeQL setup, code scanning alerts, query results, security issue triage | 25% |
| 5 | Describe GitHub Advanced Security best practices, results, and how to take corrective measures | Alert prioritization, remediation workflow, reporting results, ongoing security practices | 20% |
This exam tests both conceptual understanding and hands-on ability to apply GitHub Advanced Security features in practical scenarios. Candidates should be prepared to identify security findings, configure protection features, interpret alerts, and take corrective action based on results. The focus is on real usage knowledge, not just memorization, so familiarity with workflows and security outcomes is important. A solid preparation plan should cover feature setup, alert analysis, and remediation decisions.
QA4Exam.com offers an Exam PDF with actual questions and answers plus an Online Practice Test built to help you prepare efficiently for the Microsoft GH-500 exam. The practice test gives you a real exam simulation so you can get used to the format, pacing, and pressure before test day. You also get up-to-date questions with verified answers, which helps reinforce the right concepts and reduce guesswork. By practicing with timed sessions, you can improve time management and build confidence for the first attempt. This combination makes it easier to review the exam areas that matter most and approach the test with a clear strategy.
It is intended for candidates who want to validate knowledge of GitHub Advanced Security features, especially those working in development, security, or DevSecOps roles.
The exam can be challenging because it checks practical understanding of security features, alert handling, and corrective actions rather than simple theory.
Braindumps alone are not a complete preparation strategy. You should also understand the topics, review the concepts, and practice applying them in realistic scenarios.
Hands-on experience is very helpful because the exam focuses on configuration, alert interpretation, and practical security workflows.
The Exam PDF and Online Practice Test are strong study tools, and many candidates use them to strengthen exam readiness. Additional review of the exam topics can further improve confidence and understanding.
They help you prepare with real exam simulation, verified answers, up-to-date questions, and timed practice that improves speed and accuracy.
The offering includes an Exam PDF and an Online Practice Test, giving you flexible study options for reading, review, and interactive practice.
-- [Configure and Use Dependency Management]
What should you do after receiving an alert about a dependency added in a pull request?
If an alert is raised on a pull request dependency, best practice is to update the dependency to a secure version before merging the PR. This prevents the vulnerable version from entering the main codebase.
Merging or deploying the PR without fixing the issue exposes your production environment to known risks.
-- [Use Code Scanning with CodeQL]
When using the advanced CodeQL code scanning setup, what is the name of the workflow file?
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.
-- [Configure and Use Secret Scanning]
What is a prerequisite to define a custom pattern for a repository?
You must enable secret scanning before defining custom patterns. Secret scanning provides the foundational capability for detecting exposed credentials, and custom patterns build upon that by allowing organizations to specify their own regex-based patterns for secrets unique to their environment.
Without enabling secret scanning, GitHub will not process or apply custom patterns.
-- [Use Code Scanning with CodeQL]
When using CodeQL, how does extraction for compiled languages work?
For compiled languages, CodeQL performs extraction by monitoring 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.
-- [Configure and Use Secret Scanning]
Which of the following is the best way to prevent developers from adding secrets to the repository?
The best proactive control is push protection. It scans for secrets during a git push and blocks the commit before it enters the repository.
Other options (like CODEOWNERS or security managers) help with oversight but do not prevent secret leaks.
Making a repo public would increase the risk, not reduce it.
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