Question 1

You are using GitHub Copilot for a project, and you begin to wonder how Copilot generates suggestions based on your inputs and ensures that personal or sensitive data is not shared. Your company is concerned about compliance and data privacy, so you are tasked with explaining how Copilot handles your data and what safeguards are in place. Which of the following best explains how GitHub Copilot handles user inputs and ensures data privacy during the suggestion process?

Options :

A : GitHub Copilot continuously sends user inputs to the cloud, where they are stored and analyzed for future improvement of the machine learning model.

B : GitHub Copilot sends user inputs, including private code, directly to the cloud-based model, which uses all available data, both public and private, for generating suggestions.

C : GitHub Copilot processes user inputs locally on the developer’s machine and does not send any data to external servers.

D : GitHub Copilot sends user inputs to a proxy service that anonymizes the data and filters out any sensitive information before sending it to the cloud-based model for code suggestions.

Answer: D

Question 2

You are working on a function to process customer orders. You need to create a function in Python that calculates the total cost, including taxes and discounts. You decide to use GitHub Copilot to assist with generating the function. To ensure Copilot provides a high-quality suggestion, you write the following prompt: # Function to calculate total cost of order including taxes and discounts. However, the generated code misses the discount logic entirely. Which of the following strategies would most likely improve the quality of GitHub Copilot's suggestions in this scenario?

Options :

A : Add multiple examples of test cases within the prompt.

B : Add more specific details to the prompt, such as "Function to calculate total cost of order with 10% tax and 5% discount."

C : Reduce the complexity of the prompt to "Function to calculate order cost."

D : Use a prompt that specifies the language syntax, like "Python function to calculate total order cost, including taxes and discounts."

Answer: B

Question 3

You are working on a Python function find_max(numbers) that returns the largest number in a list. The function is defined as follows:

You want to use GitHub Copilot to help identify edge cases and suggest tests to ensure the function works correctly in all situations. Which approach should you take to get the most comprehensive test suggestions from Copilot?

Options :

A : Ask Copilot to generate tests using large sets of random numbers to ensure scalability.

B : Instruct Copilot to generate test cases for lists that contain only positive numbers, assuming negative numbers are not relevant.

C : Rely on Copilot to generate a basic test for a list of three numbers and manually test other cases.

D : Use Copilot to suggest test cases by outlining possible edge cases, such as an empty list, a list with one element, or a list of all identical elements.

Answer: D

Question 4

You are working on a large project that integrates multiple third-party APIs in Python. Recently, you encountered a bug causing intermittent API failures. These failures occur randomly, making it difficult to identify the root cause. You decide to use GitHub Copilot to assist in debugging the code and improve overall productivity. Your goal is to locate and fix the bug efficiently without manual code inspection of all API call paths. Which of the following is the best way to use GitHub Copilot to assist with debugging the code in this scenario?

Options :

A : Use GitHub Copilot to randomly modify portions of the API call handling code until the bug no longer occurs.

B : Use GitHub Copilot to rewrite the entire API integration code, hoping that regenerated code will fix the issue.

C : Use GitHub Copilot to automatically generate logging statements at every line of the code to track the flow of execution.

D : Use GitHub Copilot to suggest test cases that reproduce the bug, enabling you to isolate the failing API calls.

Answer: D

Question 5

A large software development company has subscribed to GitHub Copilot Enterprise to improve code productivity and collaboration across its globally distributed teams. As the project manager, you are asked to configure the system to maximize its benefits for enterprise-wide usage. Which of the following features available in GitHub Copilot Enterprise would help you achieve this goal?

Options :

A : Limiting GitHub Copilot’s access to only open-source repositories available in GitHub’s public domain.

B : Enterprise-wide policy management, allowing the central control of access and usage policies for GitHub Copilot.

C : AI-powered code completion only within Visual Studio Code, excluding other popular IDEs like JetBrains.

D : Individual training of Copilot on each developer’s local codebase without sharing data across the team.

Answer: B

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