Free GitHub Advanced SecurityPractice Test

Your development team has enabled GitHub code scanning on a repository using CodeQL. Developers are receiving alerts for potential SQL injection vulnerabilities, but they believe some alerts are false positives for their specific use case. What is the recommended approach to handle these alerts?

A company wants to implement secret scanning across their GitHub Enterprise organization. They need to prevent secrets from being pushed to repositories in the first place. Which feature should they enable?

Your organization uses Dependabot to manage dependency updates. You notice that Dependabot has created multiple pull requests for security updates, but developers are not reviewing them promptly. What is the best practice to ensure timely security updates?

As a security administrator, you need to enforce that all repositories in your organization must have code scanning enabled before code can be merged to the main branch. Which GitHub feature should you configure?

A developer has received a Dependabot alert for a critical vulnerability in a transitive dependency (a dependency of a dependency). The direct dependency doesn't have an updated version yet. What is the recommended approach?

Your team is implementing CodeQL for code scanning in a monorepo containing Java, JavaScript, and Python code. The default workflow is timing out. What is the most effective optimization strategy?

A security team needs to scan for custom internal API tokens that follow a specific pattern unique to their organization. The pattern is not included in GitHub's default secret scanning. What should they do?

Your organization has enabled Dependabot security updates, but you want to ensure that updates are tested in a staging environment before being deployed to production. How should you configure this workflow?

A code scanning alert has been triggered for a potential path traversal vulnerability. The development team has verified the code properly validates input and is not vulnerable. They've added additional validation. What is the complete best practice for managing this situation?

Your organization requires that all security alerts (code scanning, secret scanning, and Dependabot) be reviewed within 48 hours. How can you monitor compliance with this policy across multiple repositories?

A secret scanning alert has been triggered for an AWS access key that was committed to a public repository three months ago. What should be the immediate first step?

Your team wants to write custom CodeQL queries to detect organization-specific security anti-patterns in your codebase. Where should these custom queries be stored and how should they be executed?

An organization uses multiple package ecosystems (npm, Maven, pip) across different repositories. They want to enforce a policy that prevents the use of dependencies with known high-severity vulnerabilities. What combination of features provides the most comprehensive enforcement?

Your organization has implemented GitHub Advanced Security and wants to measure the effectiveness of the security program. Which metrics should be tracked to demonstrate improvement over time?

A developer is working on a feature branch and encounters a push protection block due to a detected secret. They claim the secret is a test credential that's safe to commit. What is the appropriate action?

Your organization has 500 repositories and wants to enable code scanning using CodeQL for all current and future repositories. What is the most efficient and maintainable approach to achieve this at scale?

A critical zero-day vulnerability has been discovered in a widely-used library that your organization depends on. The vulnerability is not yet in public databases, but you have advance knowledge. How should you proactively use GitHub Advanced Security features to prepare for when Dependabot will detect it?

Your organization has implemented code scanning with CodeQL, but results show an overwhelming number of low and medium severity alerts, causing alert fatigue. What is the most strategic approach to improve the signal-to-noise ratio while maintaining security?

An organization needs to ensure that secrets detected in pull requests from external contributors in public repositories are handled differently than secrets from internal contributors. How can they implement this differentiated approach?

Your organization uses a monorepo with microservices architecture. Different teams own different services, and you need to implement a security governance model where team-specific security policies can be enforced while maintaining organization-wide baseline requirements. How should this be architected?