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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Configure and use secret scanning | 20% | - Define and manage secret scanning push protection - Manage and resolve secret scanning alerts - Configure custom secret scanning patterns - Enable secret scanning for repositories |
| Topic 2: Configure and use code scanning | 30% | - Analyze and manage code scanning alerts - Enable and configure CodeQL for code scanning - Define and use custom CodeQL queries - Configure code scanning with GitHub Actions workflows - Configure third-party code scanning tools |
| Topic 3: Describe GitHub Advanced Security best practices and governance | 30% | - Describe GitHub Advanced Security features and their purpose - Understand the role of secret scanning and code scanning in the SDLC - Describe the role of security policies and alerts - Configure dependency review and Dependabot alerts - Describe how to respond to and manage security alerts |
| Topic 4: Manage GitHub Advanced Security for an enterprise | 20% | - Enable and disable GitHub Advanced Security features - Manage secret scanning and code scanning at scale - Create and manage security configurations - Configure security settings at the enterprise level |
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NEW QUESTION # 108
Which two pieces of information should be included in a security advisory?
Answer: C
NEW QUESTION # 109
Where can you find the vulnerable dependencies that GitHub detected in your repository?
Answer: B
Explanation:
Identifying vulnerabilities in your project's dependencies with Dependabot alerts Dependabot generates Dependabot alerts when known vulnerabilities are detected in dependencies that your project uses.
Dependabot alerts tab
If GitHub discovers insecure dependencies in your project, you can view details on the Dependabot alerts tab of your repository. Then, you can update your project to resolve or dismiss the alert.
NEW QUESTION # 110
Which of the following would raise secret scanning alerts?
Answer: A
Explanation:
A secret scanning alert is raised when sensitive data, such as API keys, passwords, or access tokens, is detected in a code repository, often due to accidental inclusion by developers. The detection uses pattern-matching and entropy analysis to identify high-entropy strings that look like secrets, but can sometimes generate false positives from non-sensitive data like UUIDs. Alerts can also occur when a developer attempts to bypass the push protection feature that prevents secrets from being committed.
NEW QUESTION # 111
What do you need to do before you can define a custom pattern for a repository?
Answer: B
Explanation:
Stack Overflow
Explanation:
Comprehensive and Detailed Explanation:
Before defining a custom pattern for secret scanning in a repository, you must enable secret scanning for that repository. Secret scanning must be active to utilize custom patterns, which allow you to define specific formats (using regular expressions) for secrets unique to your organization.
Once secret scanning is enabled, you can add custom patterns to detect and prevent the exposure of sensitive information tailored to your needs.
NEW QUESTION # 112
Where can you use CodeQL analysis for code scanning? (Each answer presents part of the solution. Choose two.)
Answer: B,C
Explanation:
In a workflow: GitHub Actions workflows are the most common place for CodeQL code scanning. The codeql-analysis.yml defines how the analysis runs and when it triggers.
In an external CI system: GitHub allows you to run CodeQL analysis outside of GitHub Actions. Once complete, the results can be uploaded using the upload-sarif action to make alerts visible in the repository.
You cannot run or trigger analysis from third-party repositories directly, and the Files changed tab in pull requests only shows diff - not analysis results.
NEW QUESTION # 113
......
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