Real and Updated GitHub-Copilot Exam Questions

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GitHub GitHub-Copilot Exam Syllabus Topics:

Topic	Details
Topic 1	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 2	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 3	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.

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GitHub CopilotCertification Exam Sample Questions (Q37-Q42):

NEW QUESTION # 37
How can you improve the context used by GitHub Copilot? (Each correct answer presents part of the solution. Choose two.)

A. By opening the relevant tabs in your IDE
B. By adding variables (#selection) to your prompt
C. By adding the full file paths to your prompt of important files
D. By adding the important files to your .gitconfig

Answer: A,B

Explanation:
Improving the context for GitHub Copilot involves opening relevant files in your IDE to provide immediate context and adding relevant code snippets directly to your prompts to give Copilot specific examples and information.

NEW QUESTION # 38
You are using GitHub Copilot under an Individual plan within Visual Studio Code. Which of the following is a core feature available to you under this plan?

A. Access to centralized Knowledge Bases across your company
B. Integration with GitHub Enterprise Server (GHE)
C. Context-aware code suggestions while typingright
D. Organization-wide policy settings and audit logs

Answer: C

Explanation:
GitHub Copilot Individual offers context-aware suggestions directly in the IDE, helping developers by predicting and completing code based on the current file and surrounding context.
Reference:
https://learn.microsoft.com/en-us/training/modules/introduction-to-github-Copilot/2-github-Copilot-your-ai-pair-programmer

NEW QUESTION # 39
What type of information can you retrieve through GitHub Copilot Business Subscriptions via REST API? Each correct answer presents part of the solution. (Choose two.)

A. Get a summary of GitHub Copilot usage for organization members
B. View code suggestions for a specific user
C. List all GitHub Copilot seat assignments for an organization
D. List of all unsubscribed GitHub Copilot members within an organization

Answer: A,C

Explanation:
The REST API includes a List all Copilot seat assignments for an organization endpoint, which returns every active seat currently being billed for that org There's also a Get Copilot metrics for an organization endpoint that provides a summary of usage data across all organization members

NEW QUESTION # 40
Which of the following scenarios best describes the intended use of GitHub Copilot Chat as a tool?

A. A productivity tool that provides suggestions, but relying on human judgment.
B. A solution for software development, requiring no additional input or oversight.
C. A tool solely designed for debugging and error correction.
D. A complete replacement for developers generating code.

Answer: A

Explanation:
GitHub Copilot Chat is designed to be a productivity enhancer, not a replacement for human developers. It provides suggestions and assists with coding tasks, but the final decision and validation always rest with the developer. Copilot Chat is meant to augment the developer's workflow, making it faster and more efficient, but it does not remove the need for human oversight and judgment.

NEW QUESTION # 41
An Organization wants to adopt GitHub Copilot to support their developer in writing code. Which of the following statements best describes the responsible AI operation?

A. Disabling manual intervention to completely make the development cycle automated
B. Relying solely on Copilot to write unit tests
C. Implementing a human code review process to ensure accountability and security checks alongside Copilot-generated coderight
D. Enabling Copilot to commit the code directly into the prod branch without the developer's interference to increase ops speed

Answer: C

Explanation:
Responsible AI operation involves transparency, oversight, and security. By enforcing human review and applying security best practices, teams can ensure responsible AI operation and Accountability.
Reference:
https://learn.microsoft.com/en-us/training/modules/responsible-ai-with-github-Copilot/5-summary?ns-enrollment-type=learningpath&ns-enrollment-id=learn.github-Copilot

NEW QUESTION # 42
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