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Microsoft GH-500 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 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 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
  • 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.

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Microsoft GitHub Advanced Security Sample Questions (Q56-Q61):

NEW QUESTION # 56
What is the best method to ensure all new code is scanned for vulnerabilities?

Answer: C

Explanation:
To systematically analyze newly introduced source code for security weaknesses, you should configure code scanning. GitHub code scanning can use CodeQL or supported third-party analysis tools and can run automatically when developers push changes or create pull requests. This places vulnerability detection directly into the development workflow rather than depending on manual review. The extended CodeQL query suite broadens the set of queries executed, but it only has an effect after code scanning itself is configured. CODEOWNERS determines who reviews specific paths and does not perform vulnerability analysis. A security policy explains how vulnerabilities should be reported but does not scan source code.
Therefore, enabling and properly configuring code scanning is the foundational mechanism for ensuring new code is automatically analyzed.


NEW QUESTION # 57
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: A

Explanation:
To create or modify a code scanning workflow file (typically under .github/workflows/codeql-analysis.yml), you must have Write access to the repository.
Write permission allows you to commit the workflow file, which is required to run or configure code scanning using GitHub Actions.


NEW QUESTION # 58
Which patterns are secret scanning validity checks available to?

Answer: A

Explanation:
Supported secrets
This table lists the secrets supported by secret scanning. You can see the types of alert that get generated for each token, as well as whether a validity check is performed on the token.
Provider: Name of the token provider.
Partner: Token for which leaks are reported to the relevant token partner. Applies to public repositories only.
*-> User: Token for which leaks are reported to users on GitHub.
Applies to public repositories, and to private repositories where GitHub Secret Protection and secret scanning are enabled.
-> Includes default tokens, which relate to supported patterns and specified *custom patterns*, as well as non-provider tokens such as private keys, which usually have a higher ratio of false positives.
For secret scanning to scan for non-provider patterns, the detection of non-provider patterns must be enabled for the repository or the organization.


NEW QUESTION # 59
Which of the following steps should you follow to integrate CodeQL into a third-party continuous integration system? (Each answer presents part of the solution. Choose three.)

Answer: A,B,C

Explanation:
When integrating CodeQL outside of GitHub Actions (e.g., in Jenkins, CircleCI):
Install the CLI: Needed to run CodeQL commands.
Analyze code: Perform the CodeQL analysis on your project with the CLI.
Upload scan results: Export the results in SARIF format and use GitHub's API to upload them to your repo's security tab.
You don't need to write custom queries unless extending functionality. "Processing alerts" happens after GitHub receives the results.


NEW QUESTION # 60
By default, which role can enable Dependabot alerts?

Answer: A

Explanation:
GitHub identifies repository administrators as users who can enable Dependabot alerts for an individual repository. Organization owners can also enable the feature at organization scope, but they are not one of the options presented. Once enabled, Dependabot compares dependency information against vulnerability data from the GitHub Advisory Database and generates alerts when affected dependencies are found. Users with Maintain or Write access can view and work with alerts when permissions allow, but enabling or disabling repository security features requires repository administration privileges under the configuration model tested here. Outside collaborators do not automatically receive that level of administrative control, and "security analyst" is not a standard repository role granting feature-enablement authority. Therefore, repository administrator is the correct selection.


NEW QUESTION # 61
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