GitHub Copilot Practice Exam 2025: Latest Questions

You are new to GitHub Copilot and want to understand what it primarily does inside your IDE. Which statement best describes GitHub Copilot’s core capability?

A developer is using Copilot Chat and wants the model to produce an answer specifically tailored to the current file they are editing. Which approach is most likely to improve relevance?

Your organization is concerned about developers accidentally introducing secrets into source code while using AI assistance. Which practice best mitigates this risk when working with Copilot?

A team wants to use Copilot to speed up pull request reviews by quickly understanding what a large change does. What is the most appropriate use of Copilot in this situation?

You ask Copilot to generate a new REST endpoint. The generated code compiles but doesn’t follow your team’s error-handling conventions (logging, standardized error responses). What is the best next step?

A developer reports that Copilot keeps suggesting code that uses an older library pattern, while the repository recently migrated to a new pattern. Which action is most likely to improve Copilot suggestions?

You’re troubleshooting a bug in a service. You paste a stack trace into Copilot Chat and ask for a fix. Which approach best balances productivity with correctness?

A team wants to standardize how developers interact with Copilot so that generated code is consistent across services (naming, structure, logging). What is the best way to achieve this?

You are designing a workflow where Copilot helps generate code and tests for a new module. Which sequence is the most robust and least risky?

A regulated enterprise wants to enable Copilot while minimizing data exposure and ensuring developers don’t inadvertently include sensitive information in prompts. Which solution is most appropriate?

A developer asks what GitHub Copilot actually does in their IDE. Which statement best describes Copilot's core capability?

You want Copilot to generate a function that parses a CSV line, supports quoted fields, and returns an array of values. What is the most effective prompt approach?

A team wants to reduce the risk of Copilot introducing insecure patterns in a web API. Which practice is most appropriate?

You are generating code with Copilot for a repository that has strict architectural patterns (hexagonal architecture). Copilot keeps producing code that violates the project's layering rules. What should you do first?

A pull request includes several Copilot-generated functions. Reviewers are concerned about correctness and maintainability. Which review approach is best?

A developer uses Copilot to generate a SQL query for a search endpoint. The generated code concatenates user input directly into the SQL string. What is the best remediation?

Copilot is providing poor suggestions in a large monorepo. You notice developers often generate code from an empty file with no imports or types defined, leading to inconsistent patterns. What change most likely improves suggestion quality?

A team wants to use Copilot to speed up documentation for public APIs. Which approach best balances productivity and accuracy?

A regulated enterprise is concerned about developers accidentally including sensitive data (API keys, customer details) in Copilot prompts or chat. Which control is the most appropriate to reduce this risk?

Copilot generates a concurrency helper that intermittently deadlocks in production. You need a systematic way to use Copilot while reducing the chance of subtle concurrency bugs. What is the best approach?

A developer is new to GitHub Copilot and wants to quickly learn what Copilot can and cannot do while writing code. Which action best aligns with Copilot fundamentals?

You want Copilot to generate a new function that parses a log line into a structured object. Which prompt approach is most likely to produce accurate, maintainable code?

A team uses Copilot to generate SQL queries for an internal tool. During code review, you notice the generated code concatenates user input into a query string. What is the best practice response?

You enabled GitHub Copilot for a repository, but one developer reports they see no suggestions in their IDE while others do. The developer is signed into GitHub. What is the most likely cause?

A regulated enterprise wants developers to use Copilot while reducing the risk of suggesting patterns that violate internal security standards. They also want improvements to be consistent across repositories. Which approach is best?