GitHub Copilot Certification Exam Prep: Part Two - Features and Data Handling ⚡

[Akash1134]

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:

• Copilot Features & Data Handling
  • Main features of GitHub Copilot for Business, Enterprise, and Copilot Chat.
• How GitHub Copilot works and handles data
  • How GitHub Copilot handles data
  • Data pipeline lifecycle of GitHub Copilot code suggestions in the IDE
  • Limitations of GitHub Copilot (and LLMs in general)

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):

• Microsoft Learn Modules (each of the modules has its own knowledge check exercise)
  • Using advanced GitHub Copilot features
  • GitHub Copilot Across Environments: IDE, Chat, and Command Line Techniques
  • Management and customization considerations with GitHub Copilot
• Copilot features
  • Introduction to GitHub Copilot Business
  • Introduction to GitHub Copilot Enterprise
• GitHub Learning Pathways
  • How GitHub Copilot handles data
• Videos
  • Getting started with GitHub Copilot (Playlist with over 80 videos)
  • GitHub Copilot plans and features (On Demand from Microsoft Reactor)
  • Say hello to GitHub Copilot Enterprise!
  • Get Started with GitHub Copilot and GitHub Copilot Chat
• Blogs and Resources
  • AI Assisted Development with GitHub Copilot
  • Inside GitHub: Working with the LLMs behind GitHub Copilot
  • How GitHub Copilot is getting better at understanding your code
  • How does GitHub use the Copilot data?
  • Pros and Cons of Github Copilot
• GitHub Docs
  • Use GitHub Copilot
  • Manage GitHub Copilot
  • GitHub Copilot features
  • About GitHub Copilot Chat in Visual Studio and AI-powered chat conversations with GitHub Copilot

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!

🔢 🔥 🚀

[borhanitrash]

Thank you for organizing this course and providing detailed resources. I'm excited to dive into Week 2's content and test my knowledge!

[juanlujand]

Thank you for letting us know it. I'm excited to dive into Week 2's content! Keep Rocking!!!

[megheshshenoy3]

@Akash1134 Yes Thankyou for the Week 2 of the prep !
Excited to participate in this one after Week 1 !!

Here are the answers

1. c - They specify the scope that GitHub Copilot should examine and the goal to be achieved
2. b - By generating inline code comments based on natural language prompts or commands
3. c - It enables developers to review each suggestion by selecting the left or right arrows.
4. c - Slash commands are shortcuts to quickly solve common development tasks within the chat or inline pane.
5. a - VPN Proxy support via self-signed certificates
6. c - To generate context-aware code suggestions and respond to prompts
7. c - Visual Studio Code, Visual Studio, Neovim, and JetBrains

Thankyou once again @Akash1134 for the contest !

[Vatsal-Sharma2003]

Answers:

1️⃣ What is the importance of context and intent when developing prompts for GitHub Copilot Chat?
➡️ c) They specify the scope that GitHub Copilot should examine and the goal to be achieved

2️⃣ How can GitHub Copilot Chat help generate inline code documentation?
➡️ b) By generating inline code comments based on natural language prompts or commands

3️⃣ What happens when GitHub Copilot generates more than one code completion suggestion?
➡️ c) It enables developers to review each suggestion by selecting the left or right arrows.

4️⃣ What are slash commands used for in GitHub Copilot?
➡️ c) Slash commands are shortcuts to quickly solve common development tasks within the chat or inline pane.

5️⃣ What functionality isn't supported in GitHub Copilot for Individuals?
➡️ a) VPN Proxy support via self-signed certificates

6️⃣ What is the role of Large Language Models (LLMs) in GitHub Copilot?
➡️ c) To generate context-aware code suggestions and respond to prompts

7️⃣ What are the supported integrated development environment extensions for GitHub Copilot?
➡️ c) Visual Studio Code, Visual Studio, Neovim, and JetBrains

Thank you once again @Akash1134 Bhaiya for this amazing contest! 🙌

[xoraht]

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.
2. b) By generating inline code comments based on natural language prompts or commands.
3. c) It enables developers to review each suggestion by selecting the left or right arrows.
4. c) Slash commands are shortcuts to quickly solve common development tasks within the chat or inline pane.
5. a) VPN Proxy support via self-signed certificates.
6. c) To generate context-aware code suggestions and respond to prompts
7. c) Visual Studio Code, Visual Studio, Neovim, and JetBrains

[jaysonv]

1. c) They specify the scope that GitHub Copilot should examine and the goal to be achieved.
2. b) By generating inline code comments based on natural language prompts or commands.
3. c) It enables developers to review each suggestion by selecting the left or right arrows.
4. c) Slash commands are shortcuts to quickly solve common development tasks within the chat or inline pane.
5. a) VPN Proxy support via self-signed certificates
6. c) To generate context-aware code suggestions and respond to prompts
7. c) Visual Studio Code, Visual Studio, Neovim, and JetBrains

⚡🧠 🔢 🔥 🚀

[salahtidur]

Here are the answers:

1. c) They specify the scope that GitHub Copilot should examine and the goal to be achieved.
2. b) By generating inline code comments based on natural language prompts or commands.
3. c) It enables developers to review each suggestion by selecting the left or right arrows.
4. c) Slash commands are shortcuts to quickly solve common development tasks within the chat or inline pane.
5. a) VPN Proxy support via self-signed certificates
6. c) To generate context-aware code suggestions and respond to prompts
7. c) Visual Studio Code, Visual Studio, Neovim, and JetBrains

[sanskaarz]

Here are the answers:

Understanding Context and Intent in GitHub Copilot Chat (Q1):

• Answer: (c) They specify the scope (what part of code to examine) and goal (what to achieve) for suggestions.

Generating Inline Code Documentation with GitHub Copilot Chat (Q2):

• Answer: (b) It creates comments based on natural language prompts or commands.

Reviewing Multiple Code Completion Suggestions (Q3):

• Answer: (c) Developers can review each suggestion using arrow keys.

Using Slash Commands in GitHub Copilot Chat (Q4):

• Answer: (c) They offer shortcuts for tasks within chat or inline pane.

Functionality Missing in GitHub Copilot for Individuals (Q5):

• Answer: (b) It doesn't offer multi-line function suggestions.

Large Language Models (LLMs) and GitHub Copilot (Q6):

• Answer: (c) LLMs analyze code structure and generate context-aware suggestions.

Supported IDE Extensions for GitHub Copilot (Q7):

• Answer: (c) Visual Studio Code, Visual Studio, Neovim, and JetBrains IDEs.
  Thanks, @Akash1134 for the course, looking forward for week 3 content!!

[tan1193]

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.
2- b) By generating inline code comments based on natural language prompts or commands.

GitHub Copilot Chat can create inline documentation by interpreting your natural language prompts and converting them into code comments directly within your code.
3- c) It enables developers to review each suggestion by selecting the left or right arrows.

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.
4- c) Slash commands are shortcuts to quickly solve common development tasks within the chat or inline pane.

Slash commands in GitHub Copilot serve as quick shortcuts for common tasks, enhancing your productivity by streamlining interactions within the chat or editor.
5- a) VPN Proxy support via self-signed certificates

GitHub Copilot for Individuals does not support VPN proxy configurations that use self-signed certificates.
6- c) To generate context-aware code suggestions and respond to prompts

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.
7- c) Visual Studio Code, Visual Studio, Neovim, and JetBrains

GitHub Copilot supports extensions for multiple IDEs, including Visual Studio Code, Visual Studio, Neovim, and JetBrains suite of IDEs.

[ButeoButeo]

1. What is the importance of context and intent when developing prompts for GitHub Copilot Chat?
   c) They specify the scope that GitHub Copilot should examine and the goal to be achieved.

2. How can GitHub Copilot Chat help generate inline code documentation?
   d) By creating separate documentation files for each code module.

3. What happens when GitHub Copilot generates more than one code completion suggestion?
   c) It enables developers to review each suggestion by selecting the left or right arrows.

4. What are slash commands used for in GitHub Copilot?
   c) Slash commands are shortcuts to quickly solve common development tasks within the chat or inline pane.

5. What functionality isn't supported in GitHub Copilot for Individuals?
   a) VPN Proxy support via self-signed certificates

6. What is the role of Large Language Models (LLMs) in GitHub Copilot?
   d) To compile and execute the generated code within the IDE

7. What are the supported integrated development environment extensions for GitHub Copilot?
   c) Visual Studio Code, Visual Studio, Neovim, and JetBrains

[geoffreywiseman]

Everyone seems to be in agreement already.

1️⃣ : Importance of Context and Intent

• Answer: C - specify the scope Copilot should examine and the goal
• This was addressed well in the Using Advanced GitHub Copilot Features material, which encourages you to try working with slash commands and agents.

2️⃣ : Inline code documentation

• Answer: B - Using natural language prompts or commands.
• Using Advanced GitHub Copilot Features gives you an example of generating documentation
• GitHub Copilot Across Environments also covers code documentation but in a less interactive way.

3️⃣ : Multiple Suggestions

• Answer: C - You can review each suggestions with the arrows after hovering
• Covered in GitHub Copilot Across Environments

4️⃣ : Slash Commands

• Answer: C - Slash commands help you solve common tasks; effectively like customizing the prompt for you in order to direct Copilot to a particular kind of response.
• Using Advanced GitHub Copilot Features encourages you to try a few different slash commands, which can help you get a feel for it
• It's also in the documentation

5️⃣ : Functionality Not in "for Individuals"

• Answer: A - VPN Proxy
• This is definitely the kind of feature that some security-centric environments would demand, but your average freelancer or hobby coder would likely not want.
• Covered in Introduction to GitHub Copilot for Business, including the knowledge check.

6️⃣ : Role of LLMs

• Answer: C - Generate code suggestions, respond to prompts
• Refer to Working with the LLMs Behind GitHub Copilot

7️⃣ : Extensions

• Answer: C - VS Code, Visual Studio, Neovim, JetBrains
• It's true that you can use GitHub Copilot on GitHub.com, but that's not an IDE Extension per se.
• Covered in one of the knowledge checks last week, and a bit in Copilot across Environments.