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GitHub-Copilot Latest Exam Answers, Reliable GitHub-Copilot Exam Dumps

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GitHub GitHub-Copilot Exam Syllabus Topics:

Topic
Details

Topic 1

GitHub Copilot Plans and FeaturesThis section of the exam measures the skills of Software Engineers and IT Administrators and covers different GitHub Copilot plans, including Individual, Business, and Enterprise editions. It explains the integration of GitHub Copilot within IDEs and discusses key features such as inline chat, multiple suggestions, and exception handling. The section details the policies for managing GitHub Copilot within organizations, including auditing logs and API management. It also highlights advanced functionalities like knowledge bases for improved code quality and best practices for Copilot Chat usage.

Topic 2

Prompt Engineering: This section of the exam measures skills of AI Engineers and Software Developers and covers the fundamentals of prompt engineering, including key principles, techniques, and best practices for generating high-quality outputs. It explains different prompting strategies such as zero-shot and few-shot prompting, how context influences AI-generated responses, and the role of structured prompts in guiding Copilot's behavior. It also discusses the prompt lifecycle and ways to enhance model performance through refined input instructions.

Topic 3

How GitHub Copilot Works and Handles Data: This section of the exam measures the skills of Data Security Specialists and DevOps Engineers and covers how GitHub Copilot processes data, handles code suggestions and manages privacy concerns. It explains the data pipeline for Copilot’s suggestions, how it gathers context, and how prompts are processed through its AI model. The section also discusses the limitations of AI-generated code, the effects of historical data on suggestions, and the role of prompt crafting. Best practices for improving prompt effectiveness and optimizing AI-generated responses are included.

Topic 4

Developer Use Cases for AI: This section of the exam measures skills of Full-Stack Developers and Cloud Engineers and covers how AI enhances developer productivity across various tasks such as learning new programming languages, debugging, writing documentation, and refactoring code. It discusses how GitHub Copilot integrates with the Software Development Lifecycle (SDLC) and its role in modernizing legacy applications. It also highlights the use of AI for personalized responses, sample data generation, and improving overall efficiency in software development.

>> GitHub-Copilot Latest Exam Answers <<

Reliable GitHub-Copilot Exam Dumps | Test GitHub-Copilot Quiz

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GitHub CopilotCertification Exam Sample Questions (Q58-Q63):

NEW QUESTION # 58
How can GitHub Copilot be limited when it comes to suggesting unit tests?

A. GitHub Copilot can generate all types of unit tests, including those for edge cases and complex integration scenarios.
B. GitHub Copilot's limitations in generating unit tests can vary based on the IDE version you are using.
C. GitHub Copilot primarily suggests basic unit tests that focus on core functionalities, often requiring additional input from developers for comprehensive coverage.
D. GitHub Copilot can handle any complexity in code and automatically generate appropriate unit tests.

Answer: C

Explanation:
GitHub Copilot often suggests basic unit tests and may not cover all edge cases or complex integration scenarios, requiring developers to supplement its suggestions.

NEW QUESTION # 59
What are two techniques that can be used to improve prompts to GitHub Copilot? (Select two.)

A. Provide specific success criteria
B. Provide links to supporting documentation
C. Provide insight on where to get the content from to get a response
D. Provide all information about the utilized files

Answer: A,B

Explanation:
Improving prompts involves providing specific success criteria and including links to supporting documentation to give GitHub Copilot more context and direction.

NEW QUESTION # 60
Which Copilot Individual features are available when using a supported extension for Visual Studio, VS Code, or JetBrains IDEs? (Each correct answer presents part of the solution. Choose two.)

A. Code suggestions
B. Chat
C. Pull Request Diff Analysis
D. Knowledge Base

Answer: A,B

Explanation:
GitHub Copilot Individual provides code suggestions and chat features when used with supported IDE extensions like Visual Studio, VS Code, and JetBrains IDEs.

NEW QUESTION # 61
What is a likely effect of GitHub Copilot being trained on commonly used code patterns?

A. Suggest completely novel projects, while reducing time on a project.
B. Suggest code snippets that reflect the most common practices in the training data.
C. Suggest innovative coding solutions that are not yet popular.
D. Suggest homogeneous solutions if provided a diverse data set.

Answer: B

Explanation:
GitHub Copilot is likely to suggest code snippets that reflect common practices in its training data, as it learns from frequently used patterns.

NEW QUESTION # 62
What is the correct way to access the audit log events for GitHub Copilot Business?

A. Navigate to the Insights tab in the repository settings
B. Navigate to the Security tab in the organization's GitHub settings
C. Use the Code tab in the GitHub repository
D. Use the Audit log section in the organization's GitHub settings

Answer: D

Explanation:
Audit log events for GitHub Copilot Business can be accessed through the Audit log section within the organization's GitHub settings. This log provides a record of activities related to Copilot usage and configuration.

NEW QUESTION # 63
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