Question 1

You are training an AI model like GitHub Copilot to assist in generating SQL queries. The goal is to train the model to understand how to efficiently retrieve customer data, considering best practices for indexing and query performance. Which of the following training methods would be most appropriate to achieve this goal?

Options :

A : Transfer learning using a pre-trained language model that specializes in conversational AI

B : Unsupervised learning to find patterns in SQL queries and data retrieval methods

C : Reinforcement learning by having the model try random SQL queries and get rewards for successful executions

D : Supervised learning using a dataset of correctly structured SQL queries and corresponding data models

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

You are a lead developer at a company that is considering upgrading to GitHub Copilot Business to enhance developer productivity. The engineering manager asks you to highlight the main features of GitHub Copilot Business and how it differs from other GitHub Copilot plans. Which of the following is an accurate feature of GitHub Copilot Business?

Options :

A : Copilot Chat, which allows developers to ask natural language questions and get AI-generated responses within their IDE

B : Centralized management of seat licenses and policy enforcement for large teams

C : Higher priority access to Copilot suggestions, reducing suggestion latency in repositories with high traffic

D : The ability to integrate Copilot with third-party AI code completion tools

Answer: B

Question 4

GitHub Copilot often generates code based on natural language prompts. Which of the following best describes how GitHub Copilot interprets a prompt to generate code rather than perform a calculation?

Options :

A : GitHub Copilot uses mathematical optimization techniques to calculate the most efficient solution to the problem.

B : GitHub Copilot creates code suggestions by parsing user commands and converting them directly into predefined code snippets stored in a repository.

C : GitHub Copilot uses real-time data analysis to calculate potential code outputs directly from mathematical formulas.

D : GitHub Copilot leverages pre-trained language models that interpret natural language prompts, using patterns and examples in the training data to suggest code.

Answer: D

Question 5

After confirming GitHub Copilot CLI is enabled in account settings, which of the following actions is required to complete the installation and initial configuration?

Options :

A : Download and install GitHub CLI using the command brew install gh, then link GitHub Copilot CLI manually.

B : Use the command gh auth login to authenticate and link GitHub Copilot CLI with the user’s GitHub account.

C : Enter copilot init to automatically set up GitHub Copilot CLI with default settings.

D : Run gh copilot configure to apply Copilot preferences and complete the setup.

Answer: B