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| Section | Weight | Objectives |
|---|---|---|
| Configure and use supply chain security | 15–20% | - Configure Dependency Review and enforce policies - Analyze dependency risks and vulnerabilities - Enable and configure Dependabot and dependency updates - Manage license compliance and security policies |
| GitHub Security suites administration | 10–15% | - Plan deployment and rollout strategies - Configure organization and repository policies - Monitor usage, compliance, and audit logs - Manage access and licensing for GHAS |
| Configure and use Code Security | 10–15% | - Set up and enable code scanning - Integrate with GitHub Actions or external CI systems - Configure workflows, templates, and scan frequency - Analyze, triage, and remediate scan results |
| Configure and use Secret Protection | 15–20% | - Prevent secret exposure and manage push protection - Contrast behavior between public and private/enterprise repositories - Enable and configure at repository and organization levels - Configure settings and feature availability |
| Describe GitHub Security suites, features, and ecosystem | 15–20% | - Describe suite structure, navigation, and end-to-end secure SDLC - Explain security campaigns and risk reduction - Understand GitHub Security suites and architecture - Compare prevention-first vs gate-based security strategies |
| Security operations: best practices, prioritization, and remediation | 15–20% | - Apply remediation workflows and automation - Document and track security improvements - Prioritize risks based on severity, impact, and context - Detect, manage, and respond to security alerts |
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NEW QUESTION # 54
Which of the following formats are used to describe a code scanning alert from CodeQL?
Answer: A
Explanation:
Common Weakness Enumeration (CWE) is used by CodeQL to describe the vulnerabilities it detects in code scanning alerts. CodeQL's queries are designed to identify a wide range of weaknesses, and each security query is associated with one or more specific CWEs, providing developers with standardized identifiers for the types of vulnerabilities found.
By associating alerts with CWEs, CodeQL provides a structured and informative approach to vulnerability management, making it easier for development teams to understand, address, and prevent security issues.
Note: The Common Weakness Enumeration (CWE) system is an industry-standard way of cataloging insecure software development patterns. CodeQL runs hundreds of queries out of the box that are able to detect an even greater number of CWEs. We went back through our existing queries, and aligned dozens of them with updated CWE IDs to give users better insight into the potential impact of a security issue when an alert is flagged up by code scanning.
Incorrect:
[Not B]
Vulnerability Exploitability eXchange (VEX) is not used by CodeQL; rather, CodeQL and VEX are complementary tools in software security: CodeQL identifies code vulnerabilities, while VEX communicates the exploitability of a vulnerability within a specific product context, helping users focus on relevant threats.
[Not C]
GitHub Advisories (GHSA) is a database of CVEs and GitHub-originated security advisories affecting the open source world. Advisories may or may not be documented in the National Vulnerability Database. Dependency-Track integrates with GHSA by mirroring advisories via GitHub's public GraphQL API.
[Not D]
CodeQL finds the vulnerability, and CVE provides the universally recognized identifier and description for that specific vulnerability, allowing for better communication and faster response within the cybersecurity community.
Common Vulnerabilities and Exposures (CVE) is a standardized dictionary that provides unique identifiers for publicly known cybersecurity weaknesses in software and hardware. Maintained by the MITRE Corporation and funded by the U.S. Department of Homeland Security, CVE ensures a common language for cybersecurity professionals to track, discuss, and address vulnerabilities effectively across the industry. Each CVE entry includes an identifier, a description, and references to publicly available information about the vulnerability.
NEW QUESTION # 55
You are managing code scanning alerts for your repository. You receive an alert highlighting a problem with data flow. What do you click for additional context on the alert?
Answer: A
Explanation:
When dealing with a data flow issue in a code scanning alert, clicking on "Show paths" provides a detailed view of the data's journey through the code. This includes the source of the data, the path it takes, and where it ends up (the sink). This information is crucial for understanding how untrusted data might reach sensitive parts of your application and helps in identifying where to implement proper validation or sanitization.
NEW QUESTION # 56
You are configuring a CodeQL workflow for compiled languages. What happens if your workflow uses a language matrix?
Answer: C
Explanation:
When a CodeQL workflow uses a language matrix, the autobuild step attempts to build each compiled language listed in that matrix. This differs from a workflow without a language matrix, where autobuild attempts to build the supported compiled language with the greatest number of source files in the repository.
A matrix is therefore useful when a repository contains multiple languages that require separate CodeQL analysis jobs. GitHub's current CodeQL build documentation explicitly describes this matrix behavior. The analysis may use newer build modes such as none for some compiled languages, depending on language and configuration, but when the workflow specifically uses autobuild with a language matrix, each compiled language represented by that matrix is processed independently. Therefore, option D correctly describes the behavior.
NEW QUESTION # 57
Which of the following secret scanning features can verify whether a secret is still active?
Answer: B
Explanation:
Validity checks , also called secret validation , allow GitHub to check if a detected secret is still active . If verified as live, the alert is marked as "valid" , allowing security teams to prioritize the most critical leaks.
Push protection blocks secrets but does not check their validity. Custom patterns are user-defined and do not include live checks.
: GitHub Docs - Secret Scanning Validity
NEW QUESTION # 58
Which of the following benefits do code scanning, secret scanning, and dependency review provide?
Answer: D
Explanation:
These three features provide a complete layer of defense:
* Code scanning identifies security flaws in your source code
* Secret scanning detects exposed credentials
* Dependency review shows the impact of package changes during a pull request Together, they give developers actionable insight into risk and coverage throughout the SDLC.
: GitHub Docs - About GitHub Advanced Security Features
NEW QUESTION # 59
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