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.
-- [Use Code Scanning with CodeQL]
Which syntax in a query suite tells CodeQL to look for one or more specified .ql files?
In a query suite (a .qls file), the **query** key is used to specify the paths to one or more .ql files that should be included in the suite.
Example:
- query: path/to/query.ql
qls is the file format.
qlpack is used for packaging queries, not in suite syntax.
-- [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 Dependency Management]
A dependency has a known vulnerability. What does the warning message include?
When a vulnerability is detected, GitHub shows a warning that includes a brief description of the vulnerability. This typically covers the name of the CVE (if available), a short summary of the issue, severity level, and potential impact. The message also links to additional advisory data from the GitHub Advisory Database.
This helps developers understand the context and urgency of the vulnerability before applying the fix.
-- [Configure and Use Secret Scanning]
Which of the following features helps to prioritize secret scanning alerts that present an immediate risk?
Secret validation checks whether a secret found in your repository is still valid and active with the issuing provider (e.g., AWS, GitHub, Stripe). If a secret is confirmed to be active, the alert is marked as verified, which means it's considered a high-priority issue because it presents an immediate security risk.
This helps teams respond faster to valid, exploitable secrets rather than wasting time on expired or fake tokens.
-- [Configure and Use Dependency Management]
When does Dependabot alert you of a vulnerability in your software development process?
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.
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