Free GitHub GitHub-Copilot Exam Questions

Question 1

You are using GitHub Copilot in your IDE to assist with code generation for a large software project. You are interested in understanding how the GitHub Copilot data pipeline works from the moment you start typing code until the moment a suggestion is made. Which of the following accurately describes the data pipeline lifecycle of GitHub Copilot’s code suggestions in an IDE?

A : When you type, Copilot uses a pre-trained model that only processes your input locally on your machine, without sending data to the cloud.

B : Copilot accesses your local code, sends the data to the cloud, processes it, and trains the model in real time using your inputs.

C : As you type, Copilot sends the code context to the cloud-based model, which processes the input using pre-trained data and returns suggestions, without using your specific inputs for future model training.

D : The entire Copilot model runs locally on your machine, and no data is transmitted over the network, ensuring that all code suggestions are generated offline.

Answer: A

Question 2

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 3

You are developing an internal tool at a large company using GitHub Copilot and are curious about how it generates its code suggestions. You are also concerned about the possibility of sensitive code from your project influencing GitHub Copilot’s future suggestions, as well as how Copilot handles private versus public data sources. Which of the following statements best describes how GitHub Copilot works in terms of data usage and suggestion generation?

A : GitHub Copilot only generates suggestions based on the specific project and codebase currently open in the IDE, without using any other external data sources.

B : GitHub Copilot uses public repositories to train its underlying model, but code suggestions can be influenced by private repository data during a user session, though this data is not stored for future training.

C : GitHub Copilot collects and stores data from private repositories to improve future code suggestions across all users.

D : GitHub Copilot generates suggestions based solely on publicly available repositories and does not use data from private repositories for model improvement.

Answer: A

Question 4

You are a developer working on a project with a team of five. Your team needs access to GitHub Copilot to assist with code completion, but the team lead is concerned about the cost of providing Copilot to all members. The team also wants to ensure the code generated by Copilot complies with company policies and minimizes any potential risk of using third-party code. The team lead asks you to explore GitHub Copilot's available plans and suggest the best option. Which GitHub Copilot plan is most appropriate for your team, and why?

A : GitHub Copilot Free Plan

B : GitHub Enterprise Plan

C : GitHub Copilot for Individuals

D : GitHub Copilot for Business

Answer: D

Question 5

You are optimizing a function in your codebase that processes large arrays of user-provided data. You want to enhance its performance while ensuring security best practices, such as input validation and buffer overflow protection. GitHub Copilot provides several suggestions for improving the performance of this function. Which of the following suggestions provided by GitHub Copilot is the most appropriate for optimizing performance while ensuring the code is secure?

A : Suggesting the use of caching for previously processed results.

B : Suggesting input sanitization using a regular expression, without handling edge cases.

C : Suggesting an optimization that removes input validation for faster execution.

D : Replacing the function with a recursive solution to reduce the number of loops.

Answer: A