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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.

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Microsoft GitHub Advanced Security Sample Questions (Q42-Q47):

NEW QUESTION # 42
What is required to trigger code scanning on a specified branch?

Answer: A

Explanation:
Scanning on push
By default, the CodeQL analysis workflow uses the on:push event to trigger a code scan on every push to the default branch of the repository and any protected branches. For code scanning to be triggered on a specified branch, the workflow must exist in that branch. For more information, see Workflow syntax for GitHub Actions.


NEW QUESTION # 43
When using the advanced CodeQL code scanning setup, what is the name of the workflow file?

Answer: A

Explanation:
Comprehensive and Detailed Explanation:
In the advanced setup for CodeQL code scanning, GitHub generates a workflow file named codeql-analysis.
yml. This file is located in the .github/workflows directory of your repository. It defines the configuration for the CodeQL analysis, including the languages to analyze, the events that trigger the analysis, and the steps to perform during the workflow.
References: GitHub Docs - Customizing your advanced setup for code scanning


NEW QUESTION # 44
How does Dependabot use the dependency graph in GitHub Advanced Security (GHAS)?

Answer: B


NEW QUESTION # 45
What is the first step in CodeQL analysis?

Answer: A

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 # 46
Hotspot Question
You have a GitHub Enterprise Server instance named Server1 that contains multiple organizations. Server1 uses GitHub Advanced Security and has GitHub Secret Protection enabled. Repository administrators can change the secret scanning settings of their respective repository.
You discover the following issues:
- The developers at your company bypass secret scanning push protection by asking the repository administrators to temporarily disable secret scanning.
- Some security-critical secret scanning alerts are dismissed by non-
security staff without review.
You need to configure enterprise governance to meet the following requirements:
- Ensure that the repository administrators can no longer manage or
modify secret scanning.
- Ensure that dismissing secret scanning alerts requires the approval
of designated users.
What should you do for each requirement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:
Box 1: Prevent the repository administrators from managing secret scanning To solve this problem, you should prevent the repository administrators from managing secret scanning.
Enforces Compliance: Preventing local administrators from disabling security features stops them from creating temporary, unsafe workarounds for developers.
Centralizes Control: GitHub Enterprise Server allows enterprise or organization owners to enforce policies globally.
Maintains Security Baseline: Locking the setting ensures that
Box 2: Enable delegated alert dismissal for secret scanning
To resolve this problem, you must configure Delegated Alert Dismissal for secret scanning. This feature forces non-security users to submit a dismissal request instead of bypassing or directly closing an alert, requiring a mandatory review by authorized stakeholders.
Note:
Create Organization-Level Security Configurations
Enforcing this behavior at the organization or enterprise level ensures repository administrators cannot change or weaken these safety settings locally.
1. Navigate to the Organization Settings.
2. In the left sidebar, click Code security and select Configurations.
3. Click New configuration (or edit an existing custom configuration).
-> 4. Under the Secret scanning section, locate the dropdown for Prevent direct alert dismissals and set it to Enabled.
5. Save the configuration and Apply it to all relevant repositories across the organization.
Reference:
https://github.blog/changelog/2024-03-11-secret-scanning-and-push-protection-are-enabled-by-default-on-new-public-repositories/
https://github.blog/changelog/2025-06-03-custom-roles-can-now-review-secret-scanning-alert-dismissal-requests/


NEW QUESTION # 47
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