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Microsoft GH-500 Exam Overview:

Certification Vendor:Microsoft
Exam Name:GH-500: GitHub Advanced Security
Exam Number:GH-500
Passing Score:700 / 1000
Certificate Validity Period:1 year
Exam Format:Scenario-based, Multiple-choice, Interactive tasks
Exam Price:$99 USD
Exam Duration:100 minutes
Available Languages:Arabic (Saudi Arabia), Portuguese (Brazil), German, Japanese, French, English, Spanish, Korean, Chinese (Simplified)
Real Exam Qty:40โ€“60
Recommended Training:Course GH-500T00: GitHub Advanced Security
GitHub Advanced Security Learning Path
Exam Registration:Pearson VUE Scheduling
Microsoft Learn Exam Registration
Sample Questions:Microsoft GH-500 Sample Questions
Exam Way:Online proctored or onsite testing via Pearson VUE
Pre Condition:Familiarity with GitHub fundamentals, CI/CD pipelines, and secure development practices; no mandatory prerequisite exams
Official Syllabus URL:https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/gh-500

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Microsoft GH-500 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 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
  • 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 4
  • 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 5
  • 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.

Microsoft GitHub Advanced Security Sample Questions (Q89-Q94):

NEW QUESTION # 89
You have a GitHub Enterprise subscription that contains multiple organizations. Each organization contains repositories that use GitHub Advanced Security.
You need to manage code security and analysis policies across all the organizations. The solution must ensure that the organization owners can manage repository membership and day- to-day collaboration within their respective organization.
What should you configure?

Answer: A

Explanation:
To achieve this, you should configure code security and analysis policies at the GitHub Enterprise account level while assigning members the Organization Owner role within their respective organizations.
Enforcing these settings at the Enterprise level overrides lower-level changes. This allows you to globally control GitHub Advanced Security (GHAS) policies while delegating membership and daily operations to individual organization administrators.
Reference:
https://docs.github.com/en/enterprise-server@3.20/organizations/collaborating-with-groups-in-organizations/about-organizations


NEW QUESTION # 90
Hotspot Question
You have a GitHub Enterprise Cloud Organization that uses GitHub Advanced Security and manages security features by using custom security configurations.
You create a custom security configuration named Baseline1.
You need to configure Baseline1 as the default security configuration for new repositories. The solution must ensure that Baseline1 is applied automatically to all newly created repositories in the organization.
How should you complete the REST API request? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:
Box 1: CONFIGURATION_ID \
The GitHub REST API endpoint to set a code security configuration as the default for an enterprise or organization uses the format PUT /enterprises/{enterprise}/code- security/configurations/{configuration_id}. Using CONFIGURATION_ID correctly specifies the particular configuration being marked as default, while providing the body payload
{"default_for_repos":"all"} to indicate that it applies automatically to all new repositories.
Incorrect:
CONFIGURATION_ID/defaults: This syntax is incorrect because /defaults is not part of the path configuration URL schema when marking an individual configuration as the repository default CONFIGURATION_ID/policy: This path is invalid. Custom security policies are handled separately, and the configuration-specific setting does not append /policy to the target URI.
default/configurations: This ordering reverses the standard collection-resource layout of GitHub's REST endpoints, which always begins with the base collection /code-security/configurations/ followed by an identity indicator.
Box 2: all
Setting default_for_repos to "all" ensures that the given code security configuration becomes the automatic default applied to all newly created repositories across the enterprise/organization scope.
Reference:
https://docs.github.com/rest/code-security/configurations


NEW QUESTION # 91
By default, where will secret scanning look in a repository in order to execute its job? Each correct answer presents part of the solution. (Choose three.)

Answer: B,D,E

Explanation:
Secret scanning scans your entire Git history[D] on all branches [E] present in your GitHub repository for secrets, even if the repository is archived. GitHub will also periodically run a full Git history scan for new secret types in existing content in public repositories where secret scanning is enabled [C, not A] when new supported secret types are added.
Additionally, secret scanning scans:
Descriptions and comments in issues
Titles, descriptions, and comments, in open and closed historical issues. A notification is sent to the relevant partner when a historical partner pattern is detected.
Titles, descriptions, and comments in pull requests
Titles, descriptions, and comments in GitHub Discussions Wikis


NEW QUESTION # 92
What action do you need to include in your workflow to upload a third-party Static Analysis Results Interchange Format (SARIF) file to a repository?

Answer: D

Explanation:
Uploading a SARIF file to GitHub
You can upload SARIF files generated outside GitHub and see code scanning alerts from third- party tools in your repository Uploading a code scanning analysis with GitHub Actions To use GitHub Actions to upload a third-party SARIF file to a repository, you'll need a workflow.
Your workflow will need to use the upload-sarif action, which is part of the github/codeql-action repository. It has input parameters that you can use to configure the upload. The main input parameters you'll use are:
sarif_file, which configures the file or directory of SARIF files to be uploaded. The directory or file path is relative to the root of the repository.
category (optional), which assigns a category for results in the SARIF file. This enables you to analyze the same commit in multiple ways and review the results using the code scanning views in GitHub. For example, you can analyze using multiple tools, and in mono-repos, you can analyze different slices of the repository based on the subset of changed files.


NEW QUESTION # 93
When does Dependabot alert you of a vulnerability in your software development process?

Answer: B

Explanation:
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.


NEW QUESTION # 94
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