- AIt exclusively relies on user-provided step-by-step instructions to generate code.
- B It dynamically analyzes entire projects, autonomously performs multi-step tasks, and iteratively refines its outputs.
- CIt primarily suggests code snippets based on the immediate context of a single open file.
- DIt provides real-time inline suggestions but cannot autonomously refactor or execute code.
GitHub Copilot Fundamentals Part 2 of 2 - Quiz
- AIt suggests initial solutions, then requires manual developer intervention to run tests and debug.
- B It automatically identifies issues through testing, autonomously corrects errors, and repeats the cycle to refine the solution.
- C It only generates code once per task and relies on manual review to make improvements.
- DIt delegates all code improvements entirely to external testing frameworks and does not autonomously address failures.
- AProvide inline code completions only for individual files without modifying dependencies or project structure.
- B Identify relevant files, update dependencies, refactor existing code across multiple files, and iteratively verify changes by running tests.
- CGenerate new documentation explaining why the migration should occur, but leave the actual code implementation to the developer.
- DPrompt the developer for manual inputs at each step of code modification without autonomously running any tests.
- AThey serve exclusively as reference documents for developers and have no influence on Agent Mode's behavior.
- BThey help Agent Mode understand the project's intended behavior, influencing how it autonomously executes tasks.
- CThey restrict Agent Mode's access to code files, preventing unwanted modifications.
- DAgent Mode completely ignores documentation files and relies solely on the file structure and source code.
- AIt requires manual configuration after every code generation to be effective.
- BIt may struggle with highly specialized domain knowledge or nuanced business logic that lacks clear patterns.
- CIt only supports generating code snippets and cannot autonomously refactor or run tests.
- DIt cannot analyze project structure and dependencies, relying solely on explicit developer-provided context.
- AGitHub Copilot uses prompts and natural language text that you type to provide coding suggestions.
- BGitHub Copilot uses highlights, that you select, and it provides suggestions based on what you highlight.
- CGitHub Copilot uses radio language, that you type, and it provides suggestions based on what you type.
- A It's a free unrestricted AI tool that works independent of code editors.
- BIt provides several suggestions and chats per month directly in your IDE and on github.com.
- CAn option to enable slower responses, preserving your Copilot Pro quota.
- APress the Tab key.
- B Press the F1 key.
- C Press the F4 key.
- AA prompt, which is our output, is a collection of songs that tells our copilot what to generate.
- BA prompt, which is our input, is a collection of instructions or guidelines that tell our copilot what to generate.
- CA prompt, which is our document, is a collection of laptops that tells our Copilot what to generate.
- AYour code editor.
- BHow well your extensions were installed.
- CHow well you craft your prompt.
Results:
🟢 Correct Answers: 🔴 Wrong Answers:
🟢 Correct Answers: 🔴 Wrong Answers:
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GitHub Copilot Fundamentals Part 2 of 2 - Quiz
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- A. It exclusively relies on user-provided step-by-step instructions to generate code.
- B. It dynamically analyzes entire projects, autonomously performs multi-step tasks, and iteratively refines its outputs.
- C. It primarily suggests code snippets based on the immediate context of a single open file.
- D. It provides real-time inline suggestions but cannot autonomously refactor or execute code.
Remarks:
Explanation:
It dynamically analyzes entire projects, autonomously performs multi-step tasks, and iteratively refines its outputs.
- A. It suggests initial solutions, then requires manual developer intervention to run tests and debug.
- B. It automatically identifies issues through testing, autonomously corrects errors, and repeats the cycle to refine the solution.
- C. It only generates code once per task and relies on manual review to make improvements.
- D. It delegates all code improvements entirely to external testing frameworks and does not autonomously address failures.
Remarks:
Explanation:
It automatically identifies issues through testing, autonomously corrects errors, and repeats the cycle to refine the solution.
- A. Provide inline code completions only for individual files without modifying dependencies or project structure.
- B. Identify relevant files, update dependencies, refactor existing code across multiple files, and iteratively verify changes by running tests.
- C. Generate new documentation explaining why the migration should occur, but leave the actual code implementation to the developer.
- D. Prompt the developer for manual inputs at each step of code modification without autonomously running any tests.
Remarks:
Explanation:
Identify relevant files, update dependencies, refactor existing code across multiple files, and iteratively verify changes by running tests.
- A. They serve exclusively as reference documents for developers and have no influence on Agent Mode's behavior.
- B. They help Agent Mode understand the project's intended behavior, influencing how it autonomously executes tasks.
- C. They restrict Agent Mode's access to code files, preventing unwanted modifications.
- D. Agent Mode completely ignores documentation files and relies solely on the file structure and source code.
Remarks:
Explanation:
They help Agent Mode understand the project's intended behavior, influencing how it autonomously executes tasks.
- A. It requires manual configuration after every code generation to be effective.
- B. It may struggle with highly specialized domain knowledge or nuanced business logic that lacks clear patterns.
- C. It only supports generating code snippets and cannot autonomously refactor or run tests.
- D. It cannot analyze project structure and dependencies, relying solely on explicit developer-provided context.
Remarks:
Explanation:
It may struggle with highly specialized domain knowledge or nuanced business logic that lacks clear patterns.
- A. GitHub Copilot uses prompts and natural language text that you type to provide coding suggestions.
- B. GitHub Copilot uses highlights, that you select, and it provides suggestions based on what you highlight.
- C. GitHub Copilot uses radio language, that you type, and it provides suggestions based on what you type.
Remarks:
Explanation:
GitHub Copilot uses prompts and natural language text that you type to provide coding suggestions.
- A. It's a free unrestricted AI tool that works independent of code editors.
- B. It provides several suggestions and chats per month directly in your IDE and on github.com.
- C. An option to enable slower responses, preserving your Copilot Pro quota.
Remarks:
Explanation:
It provides several suggestions and chats per month directly in your IDE and on github.com.
- A. Press the Tab key.
- B. Press the F1 key.
- C. Press the F4 key.
Remarks:
Explanation:
- A. A prompt, which is our output, is a collection of songs that tells our copilot what to generate.
- B. A prompt, which is our input, is a collection of instructions or guidelines that tell our copilot what to generate.
- C. A prompt, which is our document, is a collection of laptops that tells our Copilot what to generate.
Remarks:
Explanation:
A prompt, which is our input, is a collection of instructions or guidelines that tell our copilot what to generate.
- A. Your code editor.
- B. How well your extensions were installed.
- C. How well you craft your prompt.
Remarks:
Explanation:
How well you craft your prompt.