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Microsoft GH-500 Exam Overview:

Certification Vendor:Microsoft
Exam Name:GitHub Advanced Security
Exam Number:GH-500
Exam Format:Case study, Drag and drop, Multiple choice
Real Exam Qty:40-60
Available Languages:Chinese (Simplified), French, Korean, Spanish, German, Japanese, English
Exam Duration:120 minutes
Passing Score:700 out of 1000
Related Certifications:GitHub Advanced Security Certification
Certificate Validity Period:1 year
Exam Price:$165 USD
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 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 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
  • 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 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 (Q95-Q100):

NEW QUESTION # 95
Assuming that default security and analysis settings have not been changed at the repository, organization, or enterprise level, which scenario would generate a dependency graph for the repository?

Answer: C

Explanation:
A dependency graph for a private repository on platforms like GitHub is generated or updated when a new dependency is added to its manifest file and this change is pushed to the repository's default branch, How it Works:
1. Manifest File Update: You add a new dependency to a manifest file (e.g., package.json for npm).
2. Push to Default Branch: You then push the changes to your repository's default branch.
3. Automated Parsing: The platform automatically scans the manifest and lock files in the repository.
4. Graph Generation: It uses this information to construct the dependency graph, which shows direct and transitive dependencies, their versions, and any known vulnerabilities.


NEW QUESTION # 96
Which of the following Watch settings could you use to get Dependabot alert notifications? Each answer presents part of the solution. (Choose two.)

Answer: A,C

Explanation:
To receive Dependabot alert notifications for a repository, you can utilize the following Watch settings:
Custom setting: Allows you to tailor your notifications, enabling you to subscribe specifically to security alerts, including those from Dependabot.
All Activity setting: Subscribes you to all notifications for the repository, encompassing issues, pull requests, and security alerts like those from Dependabot.
The Participating and @mentions setting limits notifications to conversations you're directly involved in or mentioned, which may not include security alerts. The Ignore setting unsubscribes you from all notifications, including critical security alerts.


NEW QUESTION # 97
As a repository owner, you do not want to run a GitHub Actions workflow when changes are made to any .txt or markdown files. How would you adjust the event trigger for a pull request that targets the main branch? (Each answer presents part of the solution. Choose three.) on:
pull_request:
branches: [main]

Answer: A,D,E

Explanation:
To exclude .txt and .md files from triggering workflows on pull requests to the main branch:
on: defines the event (e.g., pull_request)
pull_request: is the trigger
paths-ignore: is the key used to ignore file patterns
Example YAML:
yaml
CopyEdit
on:
pull_request:
branches:
- main
paths-ignore:
- '*.md'
- '*.txt'
Using paths: would include only specific files instead - not exclude. paths-ignore: is correct here.


NEW QUESTION # 98
Where in the repository can you give additional users access to secret scanning alerts?

Answer: B

Explanation:
About access management for repositories
For each repository that you administer on GitHub, you can see an overview of every team or person with access to the repository. From the overview, you can also invite new teams or people, change each team or person's role for the repository, or remove access to the repository.
This overview can help you audit access to your repository, onboard or off-board contractors or employees, and effectively respond to security incidents.
Inviting a team or person
1. On GitHub, navigate to the main page of the repository.
2. Under your repository name, click Settings. If you cannot see the "Settings" tab, select the dropdown menu, then click Settings.

3. In the "Access" section of the sidebar, click Collaborators & teams.
4.To the right of "Manage access", click Add people or Add teams.
5. In the search field, start typing the name of the team or person to invite, then click a name in the list of matches.
6. Under "Choose a role", select the repository role to grant to the team or person, then click Add NAME to REPOSITORY.


NEW QUESTION # 99
What is the first step you should take to fix an alert in secret scanning?

Answer: C

Explanation:
The first step when you receive a secret scanning alert is to revoke the secret if it is still valid. This ensures the secret can no longer be used maliciously. Only after revoking it should you proceed to remove it from the code history and apply other mitigation steps.
Simply deleting the secret from the code does not remove the risk if it hasn't been revoked - especially since it may already be exposed in commit history.


NEW QUESTION # 100
......

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