Free GitHub GitHub-Copilot Exam Questions

Question 1

Your company is deciding whether to implement GitHub Copilot Chat in its development workflow. You have been tasked with identifying the most effective use cases for this tool. In which of the following situations is GitHub Copilot Chat most effective?

A : When needing quick, automated deployment scripts across multiple cloud platforms

B : When learning a new programming language and needing explanations for syntax and code patterns

C : When generating comprehensive project documentation

D : When performing complex database migrations across multiple environments

Answer: B

Question 2

You are a developer who frequently works from the command line. You want to install GitHub Copilot in the CLI to leverage its auto-completion capabilities while working on various projects. What are the correct steps to install GitHub Copilot in the CLI?

A : Clone the GitHub Copilot repository, navigate to the cli folder, and run the make install command.

B : Use Homebrew to install GitHub Copilot by running brew install github-copilot, then authenticate with your GitHub credentials.

C : Install GitHub Copilot CLI through pip by running pip install github-copilot-cli, then configure it with the copilot-cli configure command.

D : Install the GitHub Copilot CLI via NPM, run the copilot setup command, and authenticate using a personal access token.

Answer: D

Question 3

You are working on a large project and notice that GitHub Copilot’s suggestions sometimes seem irrelevant to the code you are working on, especially when dealing with files with many lines of code. You want to understand why this is happening and how GitHub Copilot handles large files. Which of the following statements best describes the limitations of GitHub Copilot in relation to limited context windows?

A : GitHub Copilot processes all lines of code in a file, but prioritizes recent changes near the cursor.

B : GitHub Copilot can only take into account a limited number of lines of code around the cursor due to the limited context window.

C : GitHub Copilot can analyze and understand the entire project, no matter how large the files are.

D : GitHub Copilot has no issues with context windows, as it continuously learns from the entire codebase as you write more code.

Answer: B

Question 4

You are working on a Python project and want GitHub Copilot to generate a function that reads a CSV file and processes the data to calculate the average of a specific column. Your initial prompt is simply: "Write a function to read a CSV file and calculate the average of a column." However, Copilot's suggestions are either incomplete or inaccurate, failing to handle missing data or file errors. Which of the following revised prompts best follows prompt crafting best practices to get accurate and complete results from GitHub Copilot?

A : "Write a Python function for reading and calculating averages from CSVs."

B : "Create a Python function that calculates the mean of a column from a CSV file."

C : "Write a Python function that reads a CSV file and returns the average of a specified column, handling missing data and file errors."

D : "Write a Python function to calculate the average of a CSV column."

Answer: C

Question 5

Your company is deciding whether to implement GitHub Copilot Chat in its development workflow. You have been tasked with identifying the most effective use cases for this tool. In which of the following situations is GitHub Copilot Chat most effective?

A : When needing quick, automated deployment scripts across multiple cloud platforms

B : When learning a new programming language and needing explanations for syntax and code patterns

C : When generating comprehensive project documentation

D : When performing complex database migrations across multiple environments

Answer: B