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Replies: 47 comments 17 replies
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Thank you for organizing this course and providing detailed resources. I'm excited to dive into Week 2's content and test my knowledge! |
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Thank you for letting us know it. I'm excited to dive into Week 2's content! Keep Rocking!!! |
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@Akash1134 Yes Thankyou for the Week 2 of the prep ! Here are the answers
Thankyou once again @Akash1134 for the contest ! |
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Answers: 1️⃣ What is the importance of context and intent when developing prompts for GitHub Copilot Chat? 2️⃣ How can GitHub Copilot Chat help generate inline code documentation? 3️⃣ What happens when GitHub Copilot generates more than one code completion suggestion? 4️⃣ What are slash commands used for in GitHub Copilot? 5️⃣ What functionality isn't supported in GitHub Copilot for Individuals? 6️⃣ What is the role of Large Language Models (LLMs) in GitHub Copilot? 7️⃣ What are the supported integrated development environment extensions for GitHub Copilot? Thank you once again @Akash1134 Bhaiya for this amazing contest! 🙌 |
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Yo, thanks for part 2 <3 My answers: 1. c) They specify the scope that GitHub Copilot should examine and the goal to be achieved. |
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1. c) They specify the scope that GitHub Copilot should examine and the goal to be achieved. ⚡🧠 🔢 🔥 🚀 |
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Here are the answers:
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Here are the answers: Understanding Context and Intent in GitHub Copilot Chat (Q1):
Generating Inline Code Documentation with GitHub Copilot Chat (Q2):
Reviewing Multiple Code Completion Suggestions (Q3):
Using Slash Commands in GitHub Copilot Chat (Q4):
Functionality Missing in GitHub Copilot for Individuals (Q5):
Large Language Models (LLMs) and GitHub Copilot (Q6):
Supported IDE Extensions for GitHub Copilot (Q7):
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1- c) They specify the scope that GitHub Copilot should examine and the goal to be achieved. Context and intent in prompts help GitHub Copilot Chat understand what you're trying to accomplish, allowing it to provide more accurate and relevant code suggestions. GitHub Copilot Chat can create inline documentation by interpreting your natural language prompts and converting them into code comments directly within your code. When multiple code completion suggestions are available, you can navigate through them using the left or right arrows to choose the one that best fits your needs. Slash commands in GitHub Copilot serve as quick shortcuts for common tasks, enhancing your productivity by streamlining interactions within the chat or editor. GitHub Copilot for Individuals does not support VPN proxy configurations that use self-signed certificates. Large Language Models (LLMs) are at the core of GitHub Copilot's ability to provide intelligent, context-aware code suggestions based on your prompts and existing code. GitHub Copilot supports extensions for multiple IDEs, including Visual Studio Code, Visual Studio, Neovim, and JetBrains suite of IDEs. |
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Everyone seems to be in agreement already. 1️⃣ : Importance of Context and Intent
2️⃣ : Inline code documentation
3️⃣ : Multiple Suggestions
4️⃣ : Slash Commands
5️⃣ : Functionality Not in "for Individuals"
6️⃣ : Role of LLMs
7️⃣ : Extensions
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By the way regarding the question 7, I remember it since last week. The tools were mentioned in the week 1 set of articles. |
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Good work, Geoffrey!! Your answers really help us learn!! |
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c) They specify the scope that GitHub Copilot should examine and the goal to be achieved.
b) By generating inline code comments based on natural language prompts or commands.
c) It enables developers to review each suggestion by selecting the left or right arrows.
c) Slash commands are shortcuts to quickly solve common development tasks within the chat or inline pane.
c) To generate context-aware code suggestions and respond to prompts
c) Visual Studio Code, Visual Studio, Neovim, and JetBrains |
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Here are my answers: 1: c) They specify the scope that GitHub Copilot should examine and the goal to be achieved. |
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Here are my answers,
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Answers for Week 2: c) They specify the scope that GitHub Copilot should examine and the goal to be achieved. b) By generating inline code comments based on natural language prompts or commands. c) It enables developers to review each suggestion by selecting the left or right arrows. c) Slash commands are shortcuts to quickly solve common development tasks within the chat or inline pane. a) VPN Proxy support via self-signed certificates c) To generate context-aware code suggestions and respond to prompts c) Visual Studio Code, Visual Studio, Neovim, and JetBrains |
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Here's my answers:
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⭐ Thank you all for joining the week 2 of the Copilot certification exam prep! Here are the correct answers to the practice questions: ❤️ 1️⃣ What is the importance of context and intent when developing prompts for GitHub Copilot Chat?a) They determine the color scheme used by GitHub Copilot Chat. 🟢 Correct answer: c) They specify the scope that GitHub Copilot should examine and the goal to be achieved. Rationale: Context and intent are crucial for GitHub Copilot Chat to provide relevant and accurate assistance. By specifying the scope and goal, developers can guide Copilot to focus on the specific area of the codebase and the desired outcome, resulting in more targeted and useful suggestions. 2️⃣ How can GitHub Copilot Chat help generate inline code documentation?a) By automatically writing the entire codebase. 🟢 Correct answer: b) By generating inline code comments based on natural language prompts or commands. Rationale: GitHub Copilot Chat can analyze the code context and generate relevant inline comments based on natural language prompts or specific commands (like '/doc'). This feature helps developers quickly add meaningful documentation to their code, improving its readability and maintainability. 3️⃣ What happens when GitHub Copilot generates more than one code completion suggestion?a) It adds all of the suggestions to your code. 🟢 Correct answer: c) It enables developers to review each suggestion by selecting the left or right arrows. Rationale: When GitHub Copilot generates multiple suggestions, it allows developers to cycle through them using left and right arrows. This feature gives developers control over which suggestion to use, enabling them to choose the most appropriate option for their specific needs. 4️⃣ What are slash commands used for in GitHub Copilot?a) Slash commands are used to format your codebase according to best practices. 🟢 Correct answer: c) Slash commands are shortcuts to quickly solve common development tasks within the chat or inline pane. Rationale: Slash commands in GitHub Copilot provide quick access to specific functionalities, allowing developers to efficiently perform common tasks such as generating tests, writing documentation, or explaining code snippets. 5️⃣ What functionality isn't supported in GitHub Copilot for Individuals?a) VPN Proxy support via self-signed certificates 🟢 Correct answer: a) VPN Proxy support via self-signed certificates Rationale: VPN Proxy support via self-signed certificates is a feature exclusive to GitHub Copilot for Business. This limitation in the individual version helps differentiate the offerings and cater to different user needs, with the business version providing more advanced networking capabilities. 6️⃣ What is the role of Large Language Models (LLMs) in GitHub Copilot?a) To manage user accounts and billing information 🟢 Correct answer: c) To generate context-aware code suggestions and respond to prompts Rationale: Large Language Models (LLMs) are at the core of GitHub Copilot's functionality. They are responsible for understanding the context of the user's code and prompts, and then generating appropriate code suggestions based on this understanding. 7️⃣ What are the supported integrated development environment extensions for GitHub Copilot?a) Visual Studio Code and Visual Studio 🟢 Correct answer: c) Visual Studio Code, Visual Studio, Neovim, and JetBrains Rationale: GitHub Copilot supports extensions for Visual Studio Code, Visual Studio, Neovim, and JetBrains IDEs. This wide range of supported environments allows developers to use Copilot in their preferred development setup. 💚✔️ Week 2, we've got some exceptional submissions, and I trust you’ve fully absorbed the comprehensive resources provided. If so, consider you're almost 50% through the journey, with the next phase in sight! As we enter Week 3 this December, we’ll explore the foundational principles of prompt engineering, developer productivity, and practical GitHub Copilot use cases. I hope this final month becomes a landmark chapter in your AI learning journey -- leveling up your coding game. 🏁 |
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We are now close to week-3! Can't wait ! |
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Great contest. Am looking forward to the next stage on Dec 2 ) |
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Thank you very much @Akash1134, on to next week! 👍 |
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Thanks @Akash1134. Looking forward to the next week!!! |
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my answers are right! |
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Hello once again folks! I just learned about this initiative from the GitHub Education newsletter 3 days ago and I have been going through the modules since then. Below are my answers: Q1️⃣ What is the importance of context and intent when developing prompts for GitHub Copilot Chat? Q2️⃣ How can GitHub Copilot Chat help generate inline code documentation? Q3️⃣ What happens when GitHub Copilot generates more than one code completion suggestion? Q4️⃣ What are slash commands used for in GitHub Copilot? Q5️⃣ What functionality isn't supported in GitHub Copilot for Individuals? Q6️⃣ What is the role of Large Language Models (LLMs) in GitHub Copilot? Q7️⃣ What are the supported integrated development environment extensions for GitHub Copilot? Once again, Thanks @Akash1134 for the comprehensive preparation resources. |
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🟢 We just posted the Week 3️⃣ module of the GitHub Copilot certification prep courseThis week we'll be focusing some of the foundational concepts of prompt engineering & productivity. Get levelled up! 🍄 |
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Answers for week-2:
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Quite late but here were my answers, will be focusing on week three now as I just covered week 2 stuff |
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Hello I'm a bit late to post my answers but here are my answers: Thank you so much for this @Akash1134 |
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My review
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What is the importance of context and intent when developing prompts for GitHub Copilot Chat? |
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Here are the answers c - They specify the scope that GitHub Copilot should examine and the goal to be achieved |
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Answers for Week 2:
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Here is my attempt at week 2
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and others
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Welcome to Week 2️⃣ of the GitHub Copilot certification prep course! We’re going to kick things up a notch this week, stepping into the engine room 🚅 of GitHub Copilot, exploring its powerful features and how it works seamlessly to assist you ✔️. Here’s what we’ll be covering:
Note
Don’t forget—top participants throughout the 4 week journey will get a GitHub Certifications exam voucher! 🎫 It’s like getting a golden ticket, but for your career! 💼
Step One: Prep Time! 📚
Last week, we laid a solid foundation with GitHub Copilot. Now, as we get into the technical details, the materials we've put together for this week will help you take another big leap 👣 towards being exam-ready (spend most of your time here):
Step Two: Test Your Knowledge ⚡
If you've made it this far—you've absorbed enough knowledge about Copilot and AI and its time to put all that brainpower 🧠 to work.
1. What is the importance of context and intent when developing prompts for GitHub Copilot Chat?
a) They determine the color scheme used by GitHub Copilot Chat.
b) They control the volume of the audio output from GitHub Copilot Chat.
c) They specify the scope that GitHub Copilot should examine and the goal to be achieved.
d) They influence the programming language used for code suggestions.
2. How can GitHub Copilot Chat help generate inline code documentation?
a) By automatically writing the entire codebase.
b) By generating inline code comments based on natural language prompts or commands.
c) By providing real-time chat support with other developers.
d) By creating separate documentation files for each code module.
3. What happens when GitHub Copilot generates more than one code completion suggestion?
a) It adds all of the suggestions to your code.
b) It selects the most relevant suggestion automatically.
c) It enables developers to review each suggestion by selecting the left or right arrows.
d) It discards all but the first suggestion.
4. What are slash commands used for in GitHub Copilot?
a) Slash commands are used to format your codebase according to best practices.
b) Slash commands are used to debug code and detect security vulnerabilities within your projects.
c) Slash commands are shortcuts to quickly solve common development tasks within the chat or inline pane.
d) Slash commands are used to switch between different programming languages.
5. What functionality isn't supported in GitHub Copilot for Individuals?
a) VPN Proxy support via self-signed certificates
b) Offers multi-line function suggestions
c) Editor integration
d) Blocks suggestions matching public code
6. What is the role of Large Language Models (LLMs) in GitHub Copilot?
a) To manage user accounts and billing information
b) To understand and analyze the user's code structure
c) To generate context-aware code suggestions and respond to prompts
d) To compile and execute the generated code within the IDE
7. What are the supported integrated development environment extensions for GitHub Copilot?
a) Visual Studio Code and Visual Studio
b) GitHub.com, Visual Studio Code, Visual Studio, Neovim, and JetBrains
c) Visual Studio Code, Visual Studio, Neovim, and JetBrains
d) Only Visual Studio Code
Engage in the discussion below by sharing your favorite study resources, providing feedback, and answering prep questions!
🔢 🔥 🚀
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