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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Describe GitHub Advanced Security best practices and governance | 30% | - Configure dependency review and Dependabot alerts - Describe the role of security policies and alerts - Describe GitHub Advanced Security features and their purpose - Describe how to respond to and manage security alerts - Understand the role of secret scanning and code scanning in the SDLC |
| Topic 2: Configure and use secret scanning | 20% | - Enable secret scanning for repositories - Configure custom secret scanning patterns - Manage and resolve secret scanning alerts - Define and manage secret scanning push protection |
| Topic 3: Configure and use code scanning | 30% | - Enable and configure CodeQL for code scanning - Configure third-party code scanning tools - Analyze and manage code scanning alerts - Define and use custom CodeQL queries - Configure code scanning with GitHub Actions workflows |
| Topic 4: Manage GitHub Advanced Security for an enterprise | 20% | - Manage secret scanning and code scanning at scale - Create and manage security configurations - Enable and disable GitHub Advanced Security features - Configure security settings at the enterprise level |
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NEW QUESTION # 34
Which of the following information can be found in a repository's Security tab?
Answer: A
Explanation:
You can find security alerts from Dependabot, Secret scanning, and Code scanning under your repository's Security tab. Security alerts for a repository are visible to people with write, maintain, or admin access to the repository and, when the repository is owned by an organization, organization owners.
NEW QUESTION # 35
Which of the following options are code scanning application programming interface (API) endpoints? (Each answer presents part of the solution. Choose two.)
Answer: C,D
Explanation:
The GitHub Code Scanning API includes endpoints that allow you to:
* List alerts for a repository (filtered by branch, state, or tool) - useful for monitoring security over time.
* Get a single alert by its ID to inspect its metadata, status, and locations in the code.
However, GitHub does not support modifying the severity of alerts via API - severity is defined by the scanning tool (e.g., CodeQL). Likewise, alerts cannot be deleted via the API; they are resolved by fixing the code or dismissing them manually.
: GitHub Docs - Code Scanning REST API
NEW QUESTION # 36
When using CodeQL, what extension stores query suite definitions?
Answer: B
Explanation:
About creating CodeQL query suites
CodeQL query suites provide a way of selecting queries, based on their filename, location on disk or in a CodeQL pack, or metadata properties. Create query suites for the queries that you want to frequently use in your CodeQL analyses.
Query suites allow you to pass multiple queries to CodeQL without having to specify the path to each query file individually. Query suite definitions are stored in YAML files with the extension .qls. A suite definition is a sequence of instructions, where each instruction is a YAML mapping with (usually) a single key. The instructions are executed in the order they appear in the query suite definition. After all the instructions in the suite definition have been executed, the result is a set of selected queries.
NEW QUESTION # 37
Which key is required in the update settings of the Dependabot configuration file?
Answer: A
Explanation:
In a dependabot.yml configuration file, package-ecosystem is a required key. It defines the package manager being used in that update configuration (e.g., npm, pip, maven, etc.).
Without this key, Dependabot cannot determine how to analyze or update dependencies. Other keys like rebase-strategy or commit-message are optional and used for customizing behavior.
NEW QUESTION # 38
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 # 39
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