Question 1

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?

Options :

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: D

Question 2

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?

Options :

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: B

Question 3

What is a key consideration when relying on GitHub Copilot Chat's explanations of code functionality and proposed improvements?

Options :

A : The explanations are dynamically updated based on user feedback.

B : Reviewing and validating the generated output for accuracy and completeness.

C : GitHub Copilot Chat uses a static database for generating explanations

D : The explanations are primarily derived from user-provided documentation.

Answer: B

Question 4

You are a part of a team developing open-source software using GitHub Copilot. Your team is concerned about code duplication issues, especially with external dependencies. You’ve been asked to explore how GitHub Copilot’s duplication detector filter works to ensure that the code it suggests does not introduce duplicate code that may lead to bugs or licensing issues. Which of the following is the best explanation of how the duplication detector filter in GitHub Copilot works and how it helps prevent duplication issues?

Options :

A : GitHub Copilot-s duplication detector filter compares suggestions against open-source licenses and prevents suggestions that might infringe on licensing terms.

B : GitHub Copilot-s duplication detector filter automatically scans the code in your repository and alerts you if any suggestions are duplicates of existing code or external libraries.

C : The duplication detector filter blocks any code suggestions that match more than 150 characters from existing open-source repositories, preventing direct duplication of copyrighted code.

D : The duplication detector filter prevents the generation of identical code to what is already present in the repository, but only if the code being suggested is over 100 lines long.

Answer: C

Question 5

You are using GitHub Copilot to help with a mathematical algorithm that requires precise calculations. While Copilot is excellent at generating code snippets, you're curious about its ability to provide reasoning and perform precise calculations. Which of the following best describes GitHub Copilot’s capabilities and limitations in this scenario?

Options :

A : GitHub Copilot can perform complex calculations accurately by leveraging its deep learning model, which is optimized for mathematical computations.

B : GitHub Copilot can process and reason through mathematical proofs, ensuring that the code generated is logically sound and mathematically correct.

C : GitHub Copilot can generate code for calculations, but it relies on the logic you provide in the prompt and does not inherently understand or guarantee the accuracy of the calculations.

D : GitHub Copilot is specifically designed to handle mathematical reasoning and calculations and can replace tools like Wolfram Alpha or scientific calculators.

Answer: C

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