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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
  • 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 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 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
  • 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 (Q62-Q67):

NEW QUESTION # 62
What is a prerequisite to define a custom pattern for a repository?

Answer: B

Explanation:
Defining a custom pattern for a repository
Before defining a custom pattern, you must ensure that Secret Protection is enabled on your repository.
Note: Enabling secret scanning for your repository
You can configure how GitHub scans your repositories for leaked secrets and generates alerts About enabling secret scanning alerts for users Secret scanning alerts for users can be enabled on any free public repository that you own.
Secret scanning alerts for users can be enabled for any repository that is owned by an organization.


NEW QUESTION # 63
By default, which roles can enable Dependabot alerts?

Answer: D

Explanation:
Repository administrators, organization owners, and users with write or maintain access can enable Dependabot alerts by enabling the dependency graph and Dependabot alerts in their repository's settings. Enabling Dependabot is an action that can be performed at the repository, organization, or enterprise level.
Repository Administrators: These users have access to repository settings, allowing them to enable or disable Dependabot alerts for that specific repository.


NEW QUESTION # 64
When using the advanced CodeQL code scanning setup, what is the name of the workflow file?

Answer: A

Explanation:
If you already enabled CodeQL with the default settings, select the menu labeled "...", then select Switch to advanced. Select Disable CodeQL when prompted. Don't worry, we will re-enable it after we've completed the advanced setup process.
After selecting or switching to advanced, you'll be taken to a GitHub Actions workflow file named codeql.yml. You can find it in your Web Goat repository's /.github/workflows directory. This is the file we use to run and configure CodeQL.


NEW QUESTION # 65
What combination of security measures helps to mitigate risks throughout the SDLC (Software Development Life Cycle)?

Answer: A

Explanation:
These three features provide a complete layer of defense:
Code scanning identifies security flaws in your source code
Secret scanning detects exposed credentials
Dependency review shows the impact of package changes during a pull request Together, they give developers actionable insight into risk and coverage throughout the SDLC.


NEW QUESTION # 66
As a contributor, you discovered a vulnerability in a repository. Where should you look for the instructions on how to report the vulnerability?

Answer: A

Explanation:
The ability to privately report a vulnerability in a repository is not related to the presence of a SECURITY.md file in that repository's root or docs directory.
The SECURITY.md file contains the security policy for the repository. Repository administrators can add and use this file to provide public instructions for how to report a security vulnerability in their repository.


NEW QUESTION # 67
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