Test GH-500 Prep | GH-500 Practical Information

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Microsoft GH-500 Exam Overview:

Certification Vendor:	Microsoft
Exam Name:	GH-500: GitHub Advanced Security
Exam Number:	GH-500
Certificate Validity Period:	1 year
Exam Price:	$99 USD
Available Languages:	Spanish, Portuguese (Brazil), German, Korean, Chinese (Simplified), French, Arabic (Saudi Arabia), Japanese, English
Exam Format:	Scenario-based, Multiple-choice, Interactive tasks
Exam Duration:	100 minutes
Passing Score:	700 / 1000
Real Exam Qty:	40–60
Recommended Training:	Course GH-500T00: GitHub Advanced Security GitHub Advanced Security Learning Path
Exam Registration:	Microsoft Learn Exam Registration Pearson VUE Scheduling
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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GH-500 Practical Information & Exam GH-500 Objectives

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Microsoft GH-500 Exam Syllabus Topics:

Topic	Details
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 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 3	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 4	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 5	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.

Microsoft GitHub Advanced Security Sample Questions (Q26-Q31):

NEW QUESTION # 26
What should you do after receiving an alert about a dependency added in a pull request?

A. Disable Dependabot alerts for all repositories owned by your organization
B. Update the vulnerable dependencies before the branch is merged
C. Deploy the code to your default branch
D. Fork the branch and deploy the new fork

Answer: B

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.
: GitHub Docs - Reviewing Dependabot Alerts in Pull Requests

NEW QUESTION # 27
Who can fix a code scanning alert on a private repository?

A. Users who have Write access to the repository
B. Users who have the Triage role within the repository
C. Users who have the security manager role within the repository
D. Users who have Read permissions within the repository

Answer: A

Explanation:
Comprehensive and Detailed Explanation:
In private repositories, users with write access can fix code scanning alerts. They can do this by committing changes that address the issues identified by the code scanning tools. This level of access ensures that only trusted contributors can modify the code to resolve potential security vulnerabilities.
GitHub Docs
Users with read or triage roles do not have the necessary permissions to make code changes, and the security manager role is primarily focused on managing security settings rather than directly modifying code.
Reference:
GitHub Docs

NEW QUESTION # 28
Assuming there is no custom Dependabot behavior configured, where possible, what does Dependabot do after sending an alert about a vulnerable dependency in a repository?

A. constructs a graph of all the repository's dependencies and public dependents for the default branch
B. scans repositories for vulnerable dependencies on a schedule and adds those files to a manifest
C. scans any push to all branches and generates an alert for each vulnerable repository
D. creates a pull request to upgrade the vulnerable dependency to the minimum possible secure version

Answer: D

Explanation:
In repositories where Dependabot security updates are enabled, when GitHub detects a vulnerable dependency in the default branch, Dependabot creates a pull request to fix it. The pull request will upgrade the dependency to the minimum possible secure version needed to avoid the vulnerability.

NEW QUESTION # 29
What do you need to do before you can define a custom pattern for a repository?

A. Provide match requirements for the secret format.Stack Overflow
B. Enable secret scanning on the repository.
C. Provide a regular expression for the format of your secret pattern.
D. Add a secret scanning custom pattern.

Answer: B

Explanation:
Comprehensive and Detailed Explanation:
Before defining a custom pattern for secret scanning in a repository, you must enable secret scanning for that repository. Secret scanning must be active to utilize custom patterns, which allow you to define specific formats (using regular expressions) for secrets unique to your organization.
Once secret scanning is enabled, you can add custom patterns to detect and prevent the exposure of sensitive information tailored to your needs.
References: GitHub Docs - Managing alerts from secret scanning

NEW QUESTION # 30
Which Dependabot configuration fields are required? (Each answer presents part of the solution. Choose three.)

A. allow
B. schedule.interval
C. milestone
D. package-ecosystem
E. directory

Answer: B,D,E

Explanation:
Comprehensive and Detailed Explanation:
When configuring Dependabot via the dependabot.yml file, the following fields are mandatory for each update configuration:
directory: Specifies the location of the package manifest within the repository. This tells Dependabot where to look for dependency files.
package-ecosystem: Indicates the type of package manager (e.g., npm, pip, maven) used in the specified directory.
schedule.interval: Defines how frequently Dependabot checks for updates (e.g., daily, weekly). This ensures regular scanning for outdated or vulnerable dependencies.
The milestone field is optional and used for associating pull requests with milestones. The allow field is also optional and used to specify which dependencies to update.
GitLab
References: GitHub Docs - Configuration options for dependency updates

NEW QUESTION # 31
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