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Microsoft GH-500 Exam Overview:

Certification Vendor:Microsoft
Exam Name:GitHub Advanced Security
Exam Number:GH-500
Available Languages:French, English, German, Chinese (Simplified), Spanish, Korean, Japanese
Certificate Validity Period:1 year
Exam Duration:120 minutes
Related Certifications:GitHub Advanced Security Certification
Passing Score:700 out of 1000
Exam Format:Multiple choice, Drag and drop, Case study
Exam Price:$165 USD
Real Exam Qty:40-60
Sample Questions:Microsoft GH-500 Sample Questions
Exam Way:Online (Proctored) or In-person at a testing center
Pre Condition:No mandatory prerequisites. Recommended to have experience with GitHub and basic understanding of security concepts.
Official Syllabus URL:https://learn.microsoft.com/en-us/credentials/certifications/github-advanced-security/

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Microsoft GH-500 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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.
Topic 2
  • 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.
Topic 3
  • 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.
Topic 4
  • 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.
Topic 5
  • 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.

Microsoft GitHub Advanced Security Sample Questions (Q16-Q21):

NEW QUESTION # 16
You have enabled Dependabot alerts on your repository. If Dependabot detects a vulnerable dependency, it sends an alert when:

Answer: A

Explanation:
Detection of insecure dependencies
Dependabot performs a scan of the default branch of your repository to detect insecure dependencies, and sends Dependabot alerts when:
* A new advisory is added to the GitHub Advisory Database.
* The dependency graph for a repository changes. For example, when a contributor pushes a commit to change the packages or versions it depends on, or when the code of one of the dependencies changes.
Additionally, GitHub can review any dependencies added, updated, or removed in a pull request made against the default branch of a repository, and flag any changes that would reduce the security of your project. This allows you to spot and deal with vulnerable dependencies before, rather than after, they reach your codebase.
Note: When you push a commit to GitHub that changes or adds a supported manifest or lock file to the default branch, the dependency graph is automatically updated. In addition, the graph is updated when anyone pushes a change to the repository of one of your dependencies.


NEW QUESTION # 17
In the pull request, how can developers avoid adding new dependencies with known vulnerabilities?

Answer: A

Explanation:
You can use the dependency review action to help enforce dependency reviews on pull requests in your repository. The dependency review action scans your pull requests for dependency changes and raises an error if any new dependencies have known vulnerabilities.
Note: About dependency review
Dependency review helps you understand dependency changes and the security impact of these changes at every pull request. It provides an easily understandable visualization of dependency changes with a rich diff on the "Files Changed" tab of a pull request. Dependency review informs you of:
Which dependencies were added, removed, or updated, along with the release dates How many projects use these components Vulnerability data for these dependencies Dependency review allows you to "shift left". You can use the provided predictive information to catch vulnerable dependencies before they hit production.


NEW QUESTION # 18
Drag and Drop Question
You have a GitHub Enterprise Server instance named Server1 that contains multiple private repositories across six organizations. Server1 uses GitHub Advanced Security.
You need to enable code scanning on Server1. The solution must ensure that the organizations can enable code scanning at the organization or repository level.
Which three commands should you run in sequence? To answer, move the appropriate commands from the list of commands to the answer area and arrange them in the correct order.
NOTE: More than one order of answer choices is correct. You will receive credit for any of the correct orders you select.

Answer:

Explanation:

Explanation:
To enable code scanning on a GitHub Enterprise Server instance while allowing individual organizations to manage it at their own discretion, the following three commands must be run in sequence via SSH:
ghe-config app.minio.enabled true
ghe-config app.code-scanning.enabled true
ghe-config-apply
Step 1: Run ghe-config app.minio.enabled true
ghe-config app.minio.enabled true - Code scanning relies on an internal MinIO storage service to hold analysis data and CodeQL results. This command activates that prerequisite backend service.
Step 2: Run ghe-config app.code-scanning.enabled true
ghe-config app.code-scanning.enabled true - This enables the overall code scanning capability at the appliance level. By doing this without explicitly overriding or forcing an enterprise-wide enforcement policy, organizations and individual repositories retain the rights to enable or disable it as needed.
Step 3: Run ghe-config-apply
Apply the configurations to the server appliance
ghe-config-apply - This final command must be run to actively apply, initialize, and reload the server configuration with the new settings.
Reference:
https://docs.github.com/en/enterprise-server@3.21/code-security/how-tos/secure-at-scale/configure-enterprise-security/establish-complete-coverage/enabling-github-advanced- security-for-your-enterprise


NEW QUESTION # 19
What is the best way to ensure that added dependencies' licenses are checked and new code is analyzed at the repository level?

Answer: A

Explanation:
A GitHub Dependabot Dependency Review workflow can ensure added dependencies' licenses are checked and new code is analyzed at the repository level by integrating a Software Composition Analysis (SCA) tool into a CI/CD pipeline, which scans pull requests for dependency changes and potential security or license issues before code is merged. This proactive approach helps maintain code quality and compliance by automatically flagging vulnerabilities and invalid licenses, with the option to block merges based on severity.
Note:
1. Integrate into Workflow: You add a job for the Dependency Review action to your CI workflow file within the .github/workflows directory.
2. Scan Pull Requests: The action automatically scans the changes in your pull requests to identify new, removed, or updated dependencies.
3. Analyze Dependencies: It then analyzes these dependencies for known security vulnerabilities and license compliance issues.
4. Flag Issues: The results, including any security alerts and license information, are displayed in the job logs and as a job summary beneath the action run.
5. Enforce and Mitigate Risks: You can configure the action to automatically fail the build and block merges for high-severity issues, ensuring that only compliant and secure code is added to your project.


NEW QUESTION # 20
Which CodeQL query suite provides queries of lower severity than the default query suite?

Answer: C

Explanation:
The security-extended query suite includes additional CodeQL queries that detect lower severity issues than those in the default security-and-quality suite.
It's often used when projects want broader visibility into code hygiene and potential weak spots beyond critical vulnerabilities.
The other options listed are paths to language packs, not query suites themselves.


NEW QUESTION # 21
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