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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 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 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 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 (Q122-Q127):

NEW QUESTION # 122
How many alerts are created when two instances of the same secret value are in the same repository?

Answer: C

Explanation:
When two instances of the same secret value are present in the same repository, a secret scanning tool will typically generate one alert for each instance, but will likely deduplicate them to avoid redundant notifications. While the tool might detect both instances and generate two separate alerts, it will likely combine them into a single, consolidated alert to prevent clutter and ensure the user is aware of the potential security risk without being overwhelmed by multiple identical alerts.
Note:
De-duplication:
This logic ensures that if multiple alerts are generated for the same secret (e.g., same value, same rule, same location), they are grouped together and presented as a single, consolidated alert. This helps reduce alert fatigue and makes it easier for developers to manage and address security issues.
Example:
Imagine a scenario where the same API key is accidentally committed twice in the same file. The secret scanning tool will detect both instances. Instead of generating two separate alerts, the tool will likely consolidate them into a single alert, indicating the presence of the API key and its multiple occurrences.


NEW QUESTION # 123
You want to specify a CodeQL configuration file for a GitHub Actions workflow. Which input to the init step in the CodeQL action do you use to pass the path of the configuration file?

Answer: A

Explanation:
The config-file input is used with the github/codeql-action/init action to specify the path to a custom CodeQL configuration file. This configuration can define additional query packs, custom queries, directories to include or exclude, and other CodeQL analysis settings. GitHub's official workflow documentation shows config-file under the with: section of the CodeQL initialization step. The queries input is used to specify additional query suites or query packs directly, rather than referencing a configuration file. source-root and db-location are not the appropriate init inputs for supplying the configuration-file path. Therefore, when the CodeQL workflow must load settings from a separate YAML configuration file, config-file is the correct parameter.


NEW QUESTION # 124
Which details do you have to provide to create a custom pattern for secret scanning? (Each answer presents part of the solution. Choose two.)

Answer: B,C

Explanation:
When defining a custom pattern for secret scanning, two key fields are required:
Name of the pattern: A unique label to identify the pattern
Secret format: A regular expression that defines what the secret looks like (e.g., token format) You can optionally specify additional match requirements (like required context keywords), but they're not mandatory. Listing repositories is also not part of the required fields during pattern creation.


NEW QUESTION # 125
By default, which roles can enable Dependabot alerts?

Answer: B

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 # 126
Which organization policy lets organizations choose whether to allow members to view dependency insights?

Answer: B

Explanation:
The correct selection is No policy. At the enterprise level, GitHub uses policy states to determine whether a setting is imposed on organizations or left under organization-level control. GitHub's enterprise administration schema defines NO_POLICY as meaning that no enterprise policy has been set for organizations.
Consequently, the enterprise does not force the feature to be enabled or disabled, allowing organization owners to make the applicable decision within their own organization. By contrast, an Enabled or Disabled enterprise policy explicitly determines the state for organizations and therefore removes that discretion.
"Enable all" is not the relevant policy state represented by this setting. This distinction is important in hierarchical GitHub governance because enterprise policies can either enforce behavior globally or deliberately delegate configuration to individual organizations.


NEW QUESTION # 127
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