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| Topic | Details |
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| Topic 1 | - 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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| 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.
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| Topic 3 | - 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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| 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.
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| Topic 5 | - 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.
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Microsoft GitHub Advanced Security Sample Questions (Q93-Q98):
NEW QUESTION # 93
Which of the following features helps to prioritize secret scanning alerts that present an immediate risk?
- A. Non-provider patterns
- B. Custom pattern dry runs
- C. Push protection
- D. Secret validation
Answer: D
Explanation:
Secret validation checks whether a secret found in your repository is still valid and active with the issuing provider (e.g., AWS, GitHub, Stripe). If a secret is confirmed to be active, the alert is marked as verified , which means it's considered a high-priority issue because it presents an immediate security risk.
This helps teams respond faster to valid, exploitable secrets rather than wasting time on expired or fake tokens.
: GitHub Docs - Secret validation in secret scanning
NEW QUESTION # 94
Which of the following is the most proactive and practical way to prevent new secret scanning alerts?
- A. Configure a secret scanning Actions workflow.
- B. Use feature branches
- C. Scan for non-provider patterns
- D. Enable push protection.
Answer: D
Explanation:
To prevent new secret scanning alerts, enable push protection to block secrets from being committed in the first place, and manage push protection patterns to disable blocking for specific, low-risk secret types or false positives.
Enable Push Protection
Prevent new commits: Push protection proactively scans code for secrets before they are pushed to a repository. If a secret is detected, the push is blocked, providing immediate feedback to developers and preventing secrets from entering the codebase.
Configure patterns: You can configure which secret patterns are blocked at the organization or enterprise level. By disabling patterns that frequently generate false positives, you can reduce the number of new alerts.
NEW QUESTION # 95
What role is required to change a repository's code scanning severity threshold that fails a pull request status check?
- A. Maintain
- B. Triage
- C. Admin
- D. Write
Answer: C
Explanation:
To change the threshold that defines whether a pull request fails due to code scanning alerts (such as blocking merges based on severity), the user must have Admin access on the repository. This is because modifying these settings falls under repository configuration privileges.
Users with Write, Maintain, or Triage roles do not have the required access to modify rulesets or status check policies.
: GitHub Docs - Repository Role Permissions
NEW QUESTION # 96
You have enabled security updates for a repository. When does GitHub mark a Dependabot alert as resolved for that repository?
- A. When Dependabot creates a pull request to update dependencies
- B. When you dismiss the Dependabot alert
- C. When you merge a pull request that contains a security update
- D. When the pull request checks are successful
Answer: C
Explanation:
A Dependabot alert is marked as resolved only after the related pull request is merged into the repository. This indicates that the vulnerable dependency has been officially replaced with a secure version in the active codebase.
Simply generating a PR or passing checks does not change the alert status; merging is the key step.
NEW QUESTION # 97
What is the difference between scheduled versus triggered events in code scanning?
- A. Scheduled events run based on a specified schedule and triggered events run on code events such as a push.
- B. Scheduled events can only be set up by administrators.
- C. Triggered events run less frequently than scheduled events.
- D. Scheduled events are more difficult to configure than triggered events.
Answer: A
NEW QUESTION # 98
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