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 small web application with a User model that contains the following method:class User: def __init__(self, username, age): self.username = username self.age = age def is_adult(self): return self.age >= 18You want to use GitHub Copilot to generate boilerplate integration tests to verify that the is_adult() method works correctly when integrated with other parts of the web application, such as a view that restricts certain content to adults. What is the best strategy to generate these integration tests using GitHub Copilot?

A : Ask Copilot to generate unit tests for the is_adult() method, assuming it will be sufficient to verify the method without integration testing.

B : Instruct Copilot to generate a test for is_adult() alone and verify its output for users over 18.

C : Use Copilot to generate an integration test that verifies how the is_adult() method behaves within a complete workflow, such as attempting to access restricted content based on the user’s age.

D : Instruct Copilot to focus only on testing the function without considering how it interacts with other system components.

Answer: A

Question 3

You are building a predictive model to classify customer behavior based on transactional data. Your dataset includes raw transactional details, such as amounts, timestamps, and customer IDs, but no features that directly help with classification. You want to perform feature engineering to create new, meaningful features from the raw data. Your team is using GitHub Copilot to accelerate this process. Which of the following best demonstrates how GitHub Copilot can be used effectively for feature engineering in this scenario?

A : Use Copilot to generate code for basic feature transformations, such as creating new features based on domain knowledge, while reviewing its suggestions.

B : Allow Copilot to automatically create and select all relevant features without any manual intervention.

C : Avoid using Copilot for feature engineering as AI-generated features might not align with the dataset’s nuances.

D : Rely on Copilot to identify the best set of features using AI-based feature selection algorithms, then directly use them for modeling.

Answer: A

Question 4

A development team is working on a large-scale e-commerce platform with code that has accumulated technical debt over the years. They want to use GitHub Copilot to assist in refactoring the codebase to improve maintainability and performance. Which of the following is the best use of GitHub Copilot for this code refactoring task?

A : Ask GitHub Copilot to generate entirely new functions for all legacy components without reviewing them, as the AI can be trusted to write more efficient code.

B : Rely on GitHub Copilot to refactor all the code automatically without developer input to save time and ensure consistency across the project.

C : Use GitHub Copilot to suggest refactoring improvements for small, isolated pieces of code, then manually evaluate and test the changes before integrating them.

D : Use GitHub Copilot only for generating documentation of the legacy codebase before refactoring, but avoid having it suggest any code changes.

Answer: C

Question 5

You are working on a JavaScript project and want to generate a function that adds two numbers using GitHub Copilot. Which of the following is the most effective prompt to provide clear context and yield the desired result?

A : Create a function.

B : Write a function that calculates the sum of two numbers in Python.

C : Sum two numbers.

D : Write a JavaScript function named add that takes two parameters, adds them, and returns the sum.

Answer: A