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Microsoft GH-500 Exam Overview:

Certification Vendor:Microsoft
Exam Name:GitHub Advanced Security
Exam Number:GH-500
Exam Duration:120 minutes
Available Languages:French, German, English, Chinese (Simplified), Korean, Spanish, Japanese
Certificate Validity Period:1 year
Related Certifications:GitHub Advanced Security Certification
Passing Score:700 out of 1000
Exam Format:Drag and drop, Multiple choice, 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
  • 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 3
  • 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.
Topic 4
  • 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 5
  • 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.

Microsoft GitHub Advanced Security Sample Questions (Q108-Q113):

NEW QUESTION # 108
As a contributor, you discovered a vulnerability in a repository. Where should you look for the instructions on how to report the vulnerability?

Answer: B

Explanation:
The ability to privately report a vulnerability in a repository is not related to the presence of a SECURITY.md file in that repository's root or docs directory.
The SECURITY.md file contains the security policy for the repository. Repository administrators can add and use this file to provide public instructions for how to report a security vulnerability in their repository.


NEW QUESTION # 109
Secret scanning will scan:

Answer: C

Explanation:
Secret scanning is a feature provided by GitHub that scans the contents of your GitHub repositories for known types of secrets, such as API keys and tokens. It operates within the GitHub environment and does not scan external systems, services, or repositories outside of GitHub. Its primary function is to prevent the accidental exposure of sensitive information within your GitHub-hosted code.


NEW QUESTION # 110
Using advanced setup, which code scanning configuration would help detect vulnerabilities before they are added to a shared branch?

Answer: B

Explanation:
Code scanning merge protection prevents a pull request from merging into a protected branch if it contains security issues or if required code scanning tools are missing or incomplete. This feature, configured using GitHub Rulesets>>, acts as a safeguard, blocking merges until all code scanning alerts are addressed to a defined severity level and the analysis is complete.
Code Scanning Configuration: You configure code scanning tools (like CodeQL) in your repository to run automatically on pull requests using the pull_request: event trigger.
Incorrect:
[Not A]
workflow_dispatch is a GitHub Actions trigger that allows users to manually start a workflow on demand, offering flexibility for tasks like deployments or testing that don't need to run automatically on every code change. This trigger can be configured with custom inputs to provide different parameters for each manual run, giving users more control over when and how specific workflows are executed.


NEW QUESTION # 111
What is the scope of the Enable all setting for Dependabot alerts at the organization level?

Answer: B

Explanation:
At organization scope, enabling Dependabot alerts broadly applies the feature to the organization's eligible repositories, rather than limiting it solely to private repositories or repositories licensed for the broader GitHub Advanced Security product. Dependabot alerts support public, private, and internal repositories, subject to repository eligibility and applicable organization or enterprise configuration. GitHub's current documentation describes organization-level management as enabling Dependabot alerts across all eligible repositories through security configurations. The feature is distinct from licensed GitHub Code Security or Secret Protection capabilities, so the setting is not restricted merely to repositories where those products are enabled. Consequently, All repositories is the intended answer in the supplied choices, with the practical qualification that GitHub applies the configuration to repositories that are eligible for the feature.


NEW QUESTION # 112
When using CodeQL, what extension stores query suite definitions?

Answer: C

Explanation:
About creating CodeQL query suites
CodeQL query suites provide a way of selecting queries, based on their filename, location on disk or in a CodeQL pack, or metadata properties. Create query suites for the queries that you want to frequently use in your CodeQL analyses.
Query suites allow you to pass multiple queries to CodeQL without having to specify the path to each query file individually. Query suite definitions are stored in YAML files with the extension .qls. A suite definition is a sequence of instructions, where each instruction is a YAML mapping with (usually) a single key. The instructions are executed in the order they appear in the query suite definition. After all the instructions in the suite definition have been executed, the result is a set of selected queries.


NEW QUESTION # 113
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