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Microsoft GH-500 Exam Overview:

Certification Vendor:Microsoft
Exam Name:GitHub Advanced Security
Exam Number:GH-500
Exam Price:$165 USD
Exam Duration:120 minutes
Available Languages:Korean, German, English, Spanish, French, Japanese, Chinese (Simplified)
Real Exam Qty:40-60
Passing Score:700 out of 1000
Related Certifications:GitHub Advanced Security Certification
Exam Format:Multiple choice, Drag and drop, Case study
Certificate Validity Period:1 year
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
  • 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 2
  • 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 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
  • 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 5
  • 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.

Microsoft GitHub Advanced Security Sample Questions (Q110-Q115):

NEW QUESTION # 110
What does code scanning do?

Answer: B

Explanation:
Code scanning is a static analysis feature that examines your source code to identify security vulnerabilities and coding errors . It runs either on every push, pull request, or a scheduled time depending on the workflow configuration.
It does not automatically contact maintainers, scan full Git history, or block pushes unless explicitly configured to do so.
: GitHub Docs - About Code Scanning


NEW QUESTION # 111
Which features are part of GitHub Advanced Security in the context of GitHub Enterprise? (Each correct answer presents part of the solution. Choose two.)

Answer: B,D

Explanation:
Dependency review and secret scanning are capabilities associated with GitHub Advanced Security. In GitHub's current product structure, dependency review is included with GitHub Code Security, while secret scanning is a central capability of GitHub Secret Protection. Both products are components of the broader GitHub Advanced Security offering, and legacy GHAS licenses can include the combined capabilities. The dependency graph is an important supply-chain feature and provides the underlying dependency inventory, but it is broadly available beyond the licensed GHAS feature set and is enabled by default for public repositories. A repository security policy, normally provided through SECURITY.md, is also a general repository capability rather than one of the licensed Advanced Security features being tested. Therefore, dependency review and secret scanning are the correct selections.


NEW QUESTION # 112
What role is required to change a repository's code scanning severity threshold that fails a pull request status check?

Answer: C

Explanation:
You can override the default behavior in your repository settings, by specifying the level of severities and security severities that will cause a pull request check failure.
Customizing your advanced setup for code scanning
You can customize how your advanced setup scans the code in your project for vulnerabilities and errors.
Who can use this feature?
Users with write access if advanced setup is already enabled
Example:
Defining the alert severities that cause a check failure for a pull request You can use rulesets to prevent pull requests from being merged when one of the following conditions is met:
A required tool found a code scanning alert of a severity that is defined in a ruleset.
A required code scanning tool's analysis is still in progress.
A required code scanning tool is not configured for the repository.


NEW QUESTION # 113
You are configuring a CodeQL workflow for compiled languages. What happens if your workflow uses a language matrix?

Answer: C

Explanation:
When a CodeQL workflow uses a language matrix, the autobuild step attempts to build each compiled language listed in that matrix. This differs from a workflow without a language matrix, where autobuild attempts to build the supported compiled language with the greatest number of source files in the repository.
A matrix is therefore useful when a repository contains multiple languages that require separate CodeQL analysis jobs. GitHub's current CodeQL build documentation explicitly describes this matrix behavior. The analysis may use newer build modes such as none for some compiled languages, depending on language and configuration, but when the workflow specifically uses autobuild with a language matrix, each compiled language represented by that matrix is processed independently. Therefore, option D correctly describes the behavior.


NEW QUESTION # 114
You are managing code scanning alerts for your repository. You receive an alert highlighting a problem with data flow. What do you click for additional context on the alert?

Answer: C

Explanation:
When dealing with a data flow issue in a code scanning alert, clicking on "Show paths" provides a detailed view of the data's journey through the code. This includes the source of the data, the path it takes, and where it ends up (the sink). This information is crucial for understanding how untrusted data might reach sensitive parts of your application and helps in identifying where to implement proper validation or sanitization.


NEW QUESTION # 115
......

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