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Microsoft GH-500 Exam Overview:
| Certification Vendor: | Microsoft |
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| Exam Name: | GitHub Advanced Security |
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| Exam Number: | GH-500 |
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| Passing Score: | 700 out of 1000 |
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| Certificate Validity Period: | 1 year |
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| Exam Format: | Multiple choice, Case study, Drag and drop |
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| Exam Duration: | 120 minutes |
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| Real Exam Qty: | 40-60 |
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| Related Certifications: | GitHub Advanced Security Certification |
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| Available Languages: | English, Chinese (Simplified), Spanish, Korean, French, German, Japanese |
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| Exam Price: | $165 USD |
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| Sample Questions: | Microsoft GH-500 Sample Questions |
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| Exam Way: | Online (Proctored) or In-person at a testing center |
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| Pre Condition: | No mandatory prerequisites. Recommended to have experience with GitHub and basic understanding of security concepts. |
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| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/github-advanced-security/ |
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| Topic | Details |
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| Topic 1 | - Configure and use Dependabot and Dependency Review: Focused on Software Engineers and Vulnerability Management Specialists, this section describes tools for managing vulnerabilities in dependencies. Candidates learn about the dependency graph and how it is generated, the concept and format of the Software Bill of Materials (SBOM), definitions of dependency vulnerabilities, Dependabot alerts and security updates, and Dependency Review functionality. It covers how alerts are generated based on the dependency graph and GitHub Advisory Database, differences between Dependabot and Dependency Review, enabling and configuring these tools in private repositories and organizations, default alert settings, required permissions, creating Dependabot configuration files and rules to auto-dismiss alerts, setting up Dependency Review workflows including license checks and severity thresholds, configuring notifications, identifying vulnerabilities from alerts and pull requests, enabling security updates, and taking remediation actions including testing and merging pull requests.
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| Topic 2 | - Describe GitHub Advanced Security best practices, results, and how to take corrective measures: This section evaluates skills of Security Managers and Development Team Leads in effectively handling GHAS results and applying best practices. It includes using Common Vulnerabilities and Exposures (CVE) and Common Weakness Enumeration (CWE) identifiers to describe alerts and suggest remediation, decision-making processes for closing or dismissing alerts including documentation and data-based decisions, understanding default CodeQL query suites, how CodeQL analyzes compiled versus interpreted languages, the roles and responsibilities of development and security teams in workflows, adjusting severity thresholds for code scanning pull request status checks, prioritizing secret scanning remediation with filters, enforcing CodeQL and Dependency Review workflows via repository rulesets, and configuring code scanning, secret scanning, and dependency analysis to detect and remediate vulnerabilities earlier in the development lifecycle, such as during pull requests or by enabling push protection.
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| Topic 3 | - Configure and use Code Scanning with CodeQL: This domain measures skills of Application Security Analysts and DevSecOps Engineers in code scanning using both CodeQL and third-party tools. It covers enabling code scanning, the role of code scanning in the development lifecycle, differences between enabling CodeQL versus third-party analysis, implementing CodeQL in GitHub Actions workflows versus other CI tools, uploading SARIF results, configuring workflow frequency and triggering events, editing workflow templates for active repositories, viewing CodeQL scan results, troubleshooting workflow failures and customizing configurations, analyzing data flows through code, interpreting code scanning alerts with linked documentation, deciding when to dismiss alerts, understanding CodeQL limitations related to compilation and language support, and defining SARIF categories.
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| Topic 4 | - Configure and use secret scanning: This domain targets DevOps Engineers and Security Analysts with the skills to configure and manage secret scanning. It includes understanding what secret scanning is and its push protection capability to prevent secret leaks. Candidates differentiate secret scanning availability in public versus private repositories, enable scanning in private repos, and learn how to respond appropriately to alerts. The domain covers alert generation criteria for secrets, user role-based alert visibility and notification, customizing default scanning behavior, assigning alert recipients beyond admins, excluding files from scans, and enabling custom secret scanning within repositories.
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| Topic 5 | - Describe the GHAS security features and functionality: This section of the exam measures skills of Security Engineers and Software Developers and covers understanding the role of GitHub Advanced Security (GHAS) features within the overall security ecosystem. Candidates learn to differentiate security features available automatically for open source projects versus those unlocked when GHAS is paired with GitHub Enterprise Cloud (GHEC) or GitHub Enterprise Server (GHES). The domain includes knowledge of Security Overview dashboards, the distinctions between secret scanning and code scanning, and how secret scanning, code scanning, and Dependabot work together to secure the software development lifecycle. It also covers scenarios contrasting isolated security reviews with integrated security throughout the development lifecycle, how vulnerable dependencies are detected using manifests and vulnerability databases, appropriate responses to alerts, the risks of ignoring alerts, developer responsibilities for alerts, access management for viewing alerts, and the placement of Dependabot alerts in the development process.
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Microsoft GitHub Advanced Security Sample Questions (Q45-Q50):
NEW QUESTION # 45
A secret scanning alert should be closed as "used in tests" when a secret is:
- A. Solely used for tests.
- B. In a test file.
- C. Not a secret in the production environment.
- D. In the readme.md file.
Answer: A
Explanation:
If a secret is intentionally used in a test environment and poses 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 its purpose is purely for testing.
NEW QUESTION # 46
A colleague ignores a code scanning alert. What are the implications of the colleague's action?
Each answer presents part of the solution. (Choose three.)
- A. A dangerous argument could be passed to functions.
- B. Data could be used insecurely.
- C. Sensitive information could be leaked.
- D. GitHub removes the alert after sixty days.
- E. Webhooks and the code scanning API remove the alert.
Answer: A,B,C
Explanation:
If you configure code scanning using CodeQL, you can also find data-flow problems in your code.
Data-flow analysis finds potential security issues in code, such as: using data insecurely[C], passing dangerous arguments to functions [D], and leaking sensitive information[B].
When code scanning reports data-flow alerts, GitHub shows you how data moves through the code. Code scanning allows you to identify the areas of your code that leak sensitive information, and that could be the entry point for attacks by malicious users.
NEW QUESTION # 47
What should you do after receiving an alert about a dependency added in a pull request?
- A. Fork the branch and deploy the new fork
- B. Disable Dependabot alerts for all repositories owned by your organization
- C. Update the vulnerable dependencies before the branch is merged
- D. Deploy the code to your default branch
Answer: C
Explanation:
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.
NEW QUESTION # 48
You want to specify a CodeQL configuration file for a GitHub Actions workflow. Which input to the init step in the CodeQL action do you use to pass the path of the configuration file?
- A. queries
- B. source-root
- C. config-file
- D. db-location
Answer: C
Explanation:
The config-file input is used with the github/codeql-action/init action to specify the path to a custom CodeQL configuration file. This configuration can define additional query packs, custom queries, directories to include or exclude, and other CodeQL analysis settings. GitHub's official workflow documentation shows config-file under the with: section of the CodeQL initialization step. The queries input is used to specify additional query suites or query packs directly, rather than referencing a configuration file. source-root and db-location are not the appropriate init inputs for supplying the configuration-file path. Therefore, when the CodeQL workflow must load settings from a separate YAML configuration file, config-file is the correct parameter.
NEW QUESTION # 49
Why should you dismiss a code scanning alert?
- A. If you fix the code that triggered the alert
- B. To prevent developers from introducing new problems
- C. If there is a production error in your code
- D. If it includes an error in code that is used only for testing
Answer: D
Explanation:
You should dismiss a code scanning alert if the flagged code is not a true security concern , such as:
* Code in test files
* Code paths that are unreachable or safe by design
* False positives from the scanner
Fixing the code would automatically resolve the alert - not dismiss it. Dismissing is for valid exceptions or noise reduction.
: GitHub Docs - Dismissing Code Scanning Alerts
NEW QUESTION # 50
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