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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 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 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 5
  • 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.

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Microsoft GitHub Advanced Security Sample Questions (Q93-Q98):

NEW QUESTION # 93
A colleague ignores a code scanning alert. What are the implications of the colleague's action?
Each answer presents part of the solution. (Choose three.)

Answer: A,B,C

Explanation:
If you configure code scanning using CodeQL, you can also find data-flow problems in your code.
Data-flow analysis finds potential security issues in code, such as: using data insecurely[C], passing dangerous arguments to functions [D], and leaking sensitive information[B].
When code scanning reports data-flow alerts, GitHub shows you how data moves through the code. Code scanning allows you to identify the areas of your code that leak sensitive information, and that could be the entry point for attacks by malicious users.


NEW QUESTION # 94
You are creating an application that will utilize the code scanning application programming interface (API) to export a repository's alerts into a comma separated values (CSV) file. What scope needs to be included in the GitHub token?

Answer: C

Explanation:
REST API endpoints for code scanning
OAuth app tokens and personal access tokens (classic) need the security_events or repos cope to use this endpoint with private or public repositories, or the public_repo scope to use this endpoint with only public repositories.


NEW QUESTION # 95
Which of the following workflow events would trigger a dependency review? (Each answer presents a complete solution. Choose two.)

Answer: A,D

Explanation:
About the dependency review action
The "dependency review action" refers to the specific action that can report on differences in a pull request within the GitHub Actions context. You can use the dependency review action in your repository to enforce dependency reviews on your pull requests. [D] The action uses the dependency review REST API to get the diff of dependency changes between the base commit and head commit. You can use the dependency review API to get the diff of dependency changes, including vulnerability data, between any two commits on a repository. [A]
[D] dependency-review-action
The dependency review action scans your pull requests for dependency changes, and will raise an error if any vulnerabilities or invalid licenses are being introduced. The action is supported by an API endpoint that diffs the dependencies between any two revisions on your default branch.
Incorrect:
[Not B] The workflow_dispatch event adds a layer of flexibility and control to your GitHub workflows, enabling manual triggers with custom inputs. Whether integrating with external systems or managing deployments directly from GitHub, workflow_dispatch provides the tools necessary for robust workflow management.


NEW QUESTION # 96
Which of the following secret scanning features can verify whether a secret is still active?

Answer: B

Explanation:
Validity checks, also called secret validation, allow GitHub to check if a detected secret is still active. If verified as live, the alert is marked as "valid", allowing security teams to prioritize the most critical leaks.
Push protection blocks secrets but does not check their validity. Custom patterns are user-defined and do not include live checks.


NEW QUESTION # 97
What are Dependabot security updates?

Answer: C

Explanation:
Dependabot security updates are a feature that automatically generates pull requests to update vulnerable dependencies in your repositories. This helps you keep your projects secure by addressing known vulnerabilities in your project's dependencies. When Dependabot detects a vulnerable dependency, it creates a pull request to update the dependency to a secure version, streamlining the process of patching vulnerabilities.
Note:
Automated Pull Requests:
Dependabot automatically creates pull requests when it identifies a security vulnerability in your project's dependencies.
Vulnerable Dependency Updates:
These pull requests are specifically designed to update the vulnerable dependency to the latest secure version or a version that includes the necessary security patches.


NEW QUESTION # 98
......

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