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 Secret Scanning]
What filter or sort settings can be used to prioritize the secret scanning alerts that present the most risk?
The best way to prioritize secret scanning alerts is to filter by active secrets --- these are secrets GitHub has confirmed are still valid and could be exploited. This allows security teams to focus on high-risk exposures that require immediate attention.
Sorting by time or filtering by custom patterns won't help with risk prioritization directly.
-- [Assessing Code Scanning Alerts]
You are managing code scanning alerts for your repository. You receive an alert highlighting a problem with data flow. What do you click for additional context on the alert?
When dealing with a data flow issue in a code scanning alert, clicking on 'Show paths' provides a detailed view of the data's journey through the code. This includes the source of the data, the path it takes, and where it ends up (the sink). This information is crucial for understanding how untrusted data might reach sensitive parts of your application and helps in identifying where to implement proper validation or sanitization.
-- [Configure and Use Dependency Management]
A repository's dependency graph includes:
The dependency graph in a repository is built by parsing manifest and lock files (like package.json, pom.xml, requirements.txt). It helps GitHub detect dependencies and cross-reference them with known vulnerability databases for alerting.
It is specific to each repository and does not show org-wide or cross-repo summaries.
-- [Describe the GHAS Security Features and Functionality]
What is a security policy?
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.
-- [Use Code Scanning with CodeQL]
What does a CodeQL database of your repository contain?
Comprehensive and Detailed Explanation:
A CodeQL database contains a representation of your codebase, including the build of the code and extracted data. This database is used to run CodeQL queries to analyze your code for potential vulnerabilities and errors.
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