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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
  • 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 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
  • 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 (Q63-Q68):

NEW QUESTION # 63
You are creating an application that will use the code scanning Application Programming Interface (API) to export an organization's alerts into a CSV file. What scope needs to be included in the GitHub token?

Answer: A

Explanation:
For a classic personal access token or OAuth token used with the code scanning REST API, security_events is an appropriate scope for retrieving code scanning security information. GitHub's endpoint for listing code scanning alerts across an organization requires appropriate organization authorization and supports tokens carrying security_events or, depending on repository visibility and token type, other qualifying repository scopes. The read:user scope relates to user-profile information, workflow provides permissions associated with GitHub Actions workflow files, and admin:org provides organization-management capabilities rather than specifically authorizing code scanning alert retrieval. Modern fine-grained personal access tokens use granular Code scanning alerts repository permissions instead of classic OAuth scopes, but among the options provided, security_events is the required security scope tested by the question.


NEW QUESTION # 64
What YAML syntax do you use to exclude certain files from secret scanning?

Answer: C

Explanation:
To exclude specific files or directories from being scanned by secret scanning in GitHub Actions, you can use the paths-ignore: key within your YAML workflow file.
This tells GitHub to ignore specified paths when scanning for secrets, which can be useful for excluding test data or non-sensitive mock content.
Other options listed are invalid:
* branches-ignore: excludes branches, not files.
* decrypt_secret.sh is not a YAML key.
* secret scanning.yml is not a recognized filename for configuration.
: GitHub Docs - Ignoring Files in GitHub Actions for Secret Scanning


NEW QUESTION # 65
By default, which roles can enable Dependabot alerts?

Answer: C

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 # 66
You are configuring code scanning with CodeQL. What is one impact of using a language matrix in your workflow?

Answer: A

Explanation:
When a CodeQL workflow uses a language matrix, the matrix explicitly defines which programming languages the workflow analyzes. GitHub states that CodeQL will analyze only the languages included in that matrix; adding or removing matrix entries therefore directly changes the languages scanned. The matrix also allows separate language-analysis jobs to run in parallel, so it does not inherently make analysis sequential.
The languages input of the CodeQL init action commonly receives the current matrix.language value, but that describes how the matrix value is passed into CodeQL rather than the principal impact asked for here. The matrix also does not represent dependency exclusions. Consequently, the operational effect being tested is that CodeQL analysis is restricted to the languages explicitly included in the workflow's matrix.


NEW QUESTION # 67
As a developer, you need to configure a code scanning workflow for a repository where GitHub Advanced Security is enabled. What minimum repository permission do you need?

Answer: C

Explanation:
Configuring advanced setup for code scanning with CodeQL
You can customize your CodeQL analysis by creating and editing a workflow file. Selecting advanced setup generates a basic workflow file for you to customize using standard workflow syntax and specifying options for the CodeQL action. See Workflows and Customizing your advanced setup for code scanning.
Using actions to run code scanning will use minutes.
Note:
You can configure code scanning for any public repository where you have write access.


NEW QUESTION # 68
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