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HOT Braindumps GitHub-Copilot Pdf - GitHub GitHub CopilotCertification Exam - Trustable GitHub-Copilot Latest Exam Dumps

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GitHub GitHub-Copilot Exam Syllabus Topics:

Topic
Details

Topic 1

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 2

Responsible AI: This section of the exam measures the skills of AI Ethics Analysts and AI Developers and covers the principles of responsible AI usage, the risks associated with AI, and the limitations of generative AI tools. It includes the importance of validating AI-generated outputs and operating AI systems responsibly. It also explores potential harms such as bias, privacy concerns, and fairness issues, along with methods to mitigate these risks. The ethical considerations of AI development and deployment are also discussed.

Topic 3

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.

Topic 4

Privacy Fundamentals and Context Exclusions: This section of the exam measures skills of Cybersecurity Specialists and Compliance Officers and covers privacy safeguards and content exclusion settings in GitHub Copilot. It explains how Copilot can identify security vulnerabilities, suggest optimizations, and enforce secure coding practices. It also includes details on content ownership, data filtering mechanisms, and exclusion configurations. The section concludes with troubleshooting guidelines for managing context exclusions and ensuring compliance with organizational security policies.

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GitHub CopilotCertification Exam Sample Questions (Q44-Q49):

NEW QUESTION # 44
What are the potential limitations of GitHub Copilot Chat? (Each correct answer presents part of the solution.
Choose two.)

A. Ability to handle complex code structures
B. Extensive support for all programming languages
C. No biases in code suggestions
D. Limited training data

Answer: B,D

Explanation:
GitHub Copilot Chat has limitations such as limited training data, which can affect the accuracy of its suggestions, and it does not provide extensive support for all programming languages.

NEW QUESTION # 45
How does GitHub Copilot suggest code optimizations for improved performance?

A. By enforcing strict coding standards that ensure optimal performance.
B. By automatically rewriting the codebase to use more efficient code.
C. By analyzing the codebase and suggesting more efficient algorithms or data structures.
D. By providing detailed reports on the performance of the codebase.

Answer: C

Explanation:
GitHub Copilot suggests code optimizations by analyzing the codebase and recommending more efficient algorithms or data structures.

NEW QUESTION # 46
How is GitHub Copilot Individual billed? (Each correct answer presents part of the solution. Choose two.)

A. Monthly, as a metered service based on actual consumption
B. Monthly as a subscription
C. Annually as a subscription
D. Free (not billed) for all open source projects

Answer: B,C

Explanation:
GitHub Copilot Individual is billed as a monthly or annual subscription.

NEW QUESTION # 47
Which of the following is a risk associated with using AI?

A. AI eliminates the need for data privacy regulations.
B. AI replaces the need for developer opportunities in most fields.
C. AI algorithms are incapable of perpetuating existing biases.
D. AI systems can sometimes make decisions that are difficult to interpret.

Answer: D

Explanation:
A risk associated with AI is that its decisions can be difficult to interpret, leading to a lack of transparency and potential misunderstandings.

NEW QUESTION # 48
What is the correct way to exclude specific files from being used by GitHub Copilot Business during code suggestions?

A. Use the GitHub Copilot settings in the user interface to exclude files.
B. Add the specific files to a copilot.ignore file.
C. Modify the .gitignore file to include the specific files.
D. Rename the files to include the suffix _no_copilot.

Answer: A

Explanation:
The correct way to exclude files is through the GitHub Copilot settings in the user interface, which allows administrators to specify files and directories to be ignored.

NEW QUESTION # 49
......

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