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Microsoft GH-500 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 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
  • 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 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
Which of the following formats are used to describe a code scanning alert from CodeQL?

Answer: B

Explanation:
CodeQL security queries are associated with Common Weakness Enumeration (CWE) classifications. CWE provides standardized categories for classes of software weaknesses, such as improper input validation, path traversal, or SQL injection. GitHub CodeQL query metadata and alert tags can contain CWE identifiers, and GitHub allows code scanning alerts to be filtered by CWE tags. CVEs identify specific publicly disclosed vulnerabilities rather than general weakness categories in source-code analysis. A GHSA identifies a GitHub Security Advisory, while VEX communicates whether a product is affected by a known vulnerability. For CodeQL findings, CWE is therefore the relevant classification system used to describe the type of weakness represented by an alert. GitHub's code scanning API also exposes CodeQL rules containing external/cwe/...
tags.


NEW QUESTION # 94
Assuming that default security and analysis settings have not been changed at the repository, organization, or enterprise level, which scenario would generate a dependency graph for the repository?

Answer: A

Explanation:
A dependency graph for a private repository on platforms like GitHub is generated or updated when a new dependency is added to its manifest file and this change is pushed to the repository's default branch, How it Works:
1. Manifest File Update: You add a new dependency to a manifest file (e.g., package.json for npm).
2. Push to Default Branch: You then push the changes to your repository's default branch.
3. Automated Parsing: The platform automatically scans the manifest and lock files in the repository.
4. Graph Generation: It uses this information to construct the dependency graph, which shows direct and transitive dependencies, their versions, and any known vulnerabilities.


NEW QUESTION # 95
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: C,D

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 # 96
By default, where will secret scanning look in a repository in order to execute its job? Each correct answer presents part of the solution. (Choose three.)

Answer: A,C,E

Explanation:
Secret scanning scans your entire Git history[D] on all branches [E] present in your GitHub repository for secrets, even if the repository is archived. GitHub will also periodically run a full Git history scan for new secret types in existing content in public repositories where secret scanning is enabled [C, not A] when new supported secret types are added.
Additionally, secret scanning scans:
Descriptions and comments in issues
Titles, descriptions, and comments, in open and closed historical issues. A notification is sent to the relevant partner when a historical partner pattern is detected.
Titles, descriptions, and comments in pull requests
Titles, descriptions, and comments in GitHub Discussions Wikis


NEW QUESTION # 97
When does secret scanning skip reporting a secret?

Answer: C

Explanation:
This question is referring to user-facing repository alerts for partner secrets. When GitHub detects authentication credentials belonging to a participating service provider in public content, GitHub can send a partner alert directly to that provider. Partner alerts are not displayed as normal repository secret-scanning alerts to repository administrators. The provider can then validate, revoke, or otherwise remediate the exposed credential. By contrast, newly committed secrets are precisely what secret scanning is designed to detect, changing repository visibility does not suppress scanning, and a revoked credential can still be detected even though validity information may indicate that it is inactive. Thus, interpreted in the context of repository-user reporting, A is the correct answer: supported partner credentials can be reported directly to the issuing provider rather than surfaced as a normal user alert.


NEW QUESTION # 98
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