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Microsoft GH-500 Exam Overview:

Certification Vendor:Microsoft
Exam Name:GitHub Advanced Security
Exam Number:GH-500
Passing Score:700 out of 1000
Exam Format:Drag and drop, Multiple choice, Case study
Certificate Validity Period:1 year
Exam Duration:120 minutes
Available Languages:French, Korean, German, Japanese, Spanish, Chinese (Simplified), English
Real Exam Qty:40-60
Related Certifications:GitHub Advanced Security Certification
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 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 2
  • 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 3
  • 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 4
  • 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 5
  • 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.

Microsoft GitHub Advanced Security Sample Questions (Q82-Q87):

NEW QUESTION # 82
What is the first step in CodeQL analysis?

Answer: D

Explanation:
Before CodeQL can execute security queries, the source code must first be represented in a CodeQL database.
Database creation extracts structured, relational information from the source code and, where applicable, observes or performs the build process required for the language being analyzed. Once the database exists, CodeQL can execute queries against it. The resulting query output is then interpreted using query metadata and can ultimately be converted to a format such as SARIF for presentation as code scanning alerts.
Therefore, running queries, interpreting results, and converting results are later phases of analysis. GitHub's CodeQL documentation explicitly identifies creation of the CodeQL database as a prerequisite for analyzing source code with CodeQL queries, making preparation/database creation the correct first step.


NEW QUESTION # 83
Which key is required in the update settings of the Dependabot configuration file?

Answer: D

Explanation:
In a dependabot.yml configuration file, package-ecosystem is a required key . It defines the package manager being used in that update configuration (e.g., npm, pip, maven, etc.).
Without this key, Dependabot cannot determine how to analyze or update dependencies. Other keys like rebase-strategy or commit-message are optional and used for customizing behavior.
: GitHub Docs - Dependabot Configuration Options


NEW QUESTION # 84
Secret scanning will ignore a secret_scanning.yml file that:

Answer: C

Explanation:
GitHub documents a size limit for the .github/secret_scanning.yml configuration file. If the file is larger than
1 MB, secret scanning ignores the entire configuration file. This file is used primarily to define paths-ignore entries for directories or files where matching secrets should automatically be excluded or alerts closed as ignored by configuration. There is also a separate limit on path exclusions: if paths-ignore contains more than
1,000 entries, GitHub processes only the first 1,000 directories rather than ignoring the complete configuration file. Therefore, the 1,000-entry condition has different behavior from exceeding the file-size limit. A 100 KB file remains below GitHub's documented threshold. Consequently, option B accurately identifies the condition that causes the entire secret_scanning.yml file to be ignored.


NEW QUESTION # 85
What is the minimum role needed in order to view the secret scanning alerts list within the Security tab of a repository?

Answer: B

Explanation:
Viewing and filtering alerts from secret scanning
Who can use this feature?
Repository owners, organization owners, security managers, and users with the admin role Note: About the secret scanning alerts page When you enable secret scanning for a repository or push commits to a repository with secret scanning enabled, GitHub scans the contents for secrets that match patterns defined by service providers.
When secret scanning detects a secret, GitHub generates an alert. GitHub displays an alert in the Security tab of the repository


NEW QUESTION # 86
What does code scanning do?

Answer: D

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.


NEW QUESTION # 87
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