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| Topic | Details |
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| 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.
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| Topic 2 | - 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 3 | - 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 4 | - 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 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 (Q86-Q91):
NEW QUESTION # 86
To be compatible with code scanning, what data format must third-party code scanning tools use for output?
- A. YAML
- B. Static Analysis Results Interchange Format (SARIF)
- C. ESLint
- D. comma separated values (CSV)
Answer: B
Explanation:
About code scanning
You can use code scanning to find security vulnerabilities and errors in the code for your project on GitHub.
About third-party code scanning tools
Code scanning is interoperable with third-party code scanning tools that output Static Analysis Results Interchange Format (SARIF) data. SARIF is an open standard. For more information,
NEW QUESTION # 87
Why should you dismiss a code scanning alert?
- A. if you fix the code that triggered the alert
- B. to prevent developers from introducing new problems
- C. if it includes an error in code that is used only for testing
- D. if there is a production error in your code
Answer: C
Explanation:
You should dismiss a code scanning alert if the flagged code is not a true security concern, such as:
*-> Code in test files
Code paths that are unreachable or safe by design
False positives from the scanner
Fixing the code would automatically resolve the alert - not dismiss it. Dismissing is for valid exceptions or noise reduction.
NEW QUESTION # 88
What is the purpose of push protection?
- A. to scan and block the code that contains secrets before it reaches the repository
- B. to define license requirements for the repository
- C. to scan and block the code that contains vulnerabilities before it reaches the repository
- D. to validate the push by the code owner
Answer: A
Explanation:
When you upload, create, or edit files from the GitHub UI, push protection prevents you from accidentally committing secrets to a repository by blocking commits containing supported secrets.
GitHub will also block the commit if you attempt to upload files containing supported secrets.
NEW QUESTION # 89
When using the advanced CodeQL code scanning setup, what is the name of the workflow file?
- A. codeql-workflow.yml
- B. codeql-config.yml
- C. codeql-scan.yml
- D. codeql.yml
Answer: D
Explanation:
If you already enabled CodeQL with the default settings, select the menu labeled "...", then select Switch to advanced. Select Disable CodeQL when prompted. Don't worry, we will re-enable it after we've completed the advanced setup process.
After selecting or switching to advanced, you'll be taken to a GitHub Actions workflow file named codeql.yml. You can find it in your Web Goat repository's /.github/workflows directory. This is the file we use to run and configure CodeQL.
NEW QUESTION # 90
What is code scanning?
- A. a feature that scans repositories for known types of secrets, to prevent fraudulent use of secrets that were committed accidentally
- B. a feature to privately discuss, fix, and publish information about security vulnerabilities in your repository
- C. a feature that analyzes the code in a GitHub repository to find security vulnerabilities and coding errors
- D. a feature to identify all your project's dependencies
Answer: C
Explanation:
GitHub's Code scanning is a feature that analyzes the code in a GitHub repository to find security vulnerabilities and coding errors, providing alerts in the repository and offering tools to triage, prioritize, and fix issues. It acts as a Static Application Security Testing (SAST) tool, using engines like CodeQL to detect issues like SQL injection and Cross-Site Scripting (XSS), and can be triggered automatically on events like pushes and pull requests.
NEW QUESTION # 91
......
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