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Quiz

1/10
GitHub Copilot Fundamentals and Capabilities
A developer accepts a GitHub Copilot code suggestion that appears correct. What is the most important next step before committing the code?
Select the answer
1 correct answer
A.
Review and test the generated code, including its security and licensing implications
B.
Assume the suggestion is correct because it was generated from public repositories
C.
Disable all compiler and test checks because Copilot has already validated the code
D.
Accept the suggestion only if it contains no comments

Quiz

2/10
GitHub Copilot in Visual Studio Code and Supported IDEs
In Visual Studio Code, a developer wants Copilot to propose code directly at the cursor while writing a function comment. Which interaction is most appropriate?
Select the answer
1 correct answer
A.
Use inline code completion and review the proposed ghost-text suggestion
B.
Open the operating system task manager and restart the language server
C.
Use a source-control merge operation before entering the comment
D.
Run a database migration so Copilot can infer the function behavior

Quiz

3/10
Prompt Engineering for GitHub Copilot
Which prompt is most likely to produce a useful GitHub Copilot response for implementing an API endpoint?
Select the answer
1 correct answer
A.
Create code
B.
Implement a secure ASP.NET Core GET endpoint at /orders/{id}; return 404 when the order is missing, validate the identifier, and use the existing IOrderRepository
C.
Write something impressive for orders
D.
Make this perfect without changing anything
E.
Generate an endpoint

Quiz

4/10
Code Generation, Refactoring, and Optimization with GitHub Copilot
A developer asks Copilot to refactor a method that calculates totals. Which instruction best reduces the risk of an unintended behavior change?
Select the answer
1 correct answer
A.
Refactor the method, preserve its public signature and current behavior, and add or update tests for boundary cases
B.
Rewrite the entire module using any pattern Copilot chooses
C.
Make the method as short as possible, even if behavior changes
D.
Remove the existing tests because the refactored code should be self-explanatory

Quiz

5/10
GitHub Copilot Chat and Conversational Development
A developer wants Copilot Chat to explain why a selected function may be vulnerable to SQL injection. What is the most effective approach?
Select the answer
1 correct answer
A.
Select or reference the relevant function and ask Copilot Chat to identify the data flow, explain the risk, and suggest a parameterized-query fix
B.
Ask only, 'Is this safe?' without providing code or context
C.
Ask Copilot Chat to disable database validation rules
D.
Accept the first security-related code suggestion without reviewing it

Quiz

6/10
Documentation, Code Explanation, and Developer Productivity
A developer asks an AI coding assistant to document a function that parses a date string. The function accepts several formats, but the expected formats are not obvious from its name. Which approach is most likely to produce useful, accurate documentation?
Select the answer
1 correct answer
A.
Ask for a brief description based on the function name and leave the accepted formats implicit.
B.
Request a generic explanation of date parsing without providing the function implementation.
C.
Provide the function and relevant tests, then ask the assistant to document the supported formats and failure behavior.
D.
Ask the assistant to describe the date formats commonly used in the programming language.

Quiz

7/10
Custom Instructions and Repository-Level Context
A repository uses a consistent error-handling pattern, but Copilot repeatedly suggests code that ignores it. The pattern applies across the project. What is the best way to improve its suggestions?
Select the answer
1 correct answer
A.
Add the pattern as a one-time message in each developer's chat
B.
Copy examples into every source file
C.
Describe the pattern in repository-level custom instructions
D.
Rename the repository so Copilot can infer the pattern

Quiz

8/10
GitHub Copilot Limitations, Validation, and Troubleshooting
A developer accepts a Copilot-generated discount calculation. The code compiles, but a test for discounts above the allowed limit fails. What is the best next step?
Select the answer
1 correct answer
A.
Adjust the test to match the generated calculation
B.
Compare the calculation with the requirements, correct it, and rerun relevant tests
C.
Ask Copilot to regenerate the entire application
D.
Assume the failure is caused by the test environment

Quiz

9/10
GitHub Copilot for Repositories, Pull Requests, and Workflows
A developer asks Copilot to explain why a repository's API tests fail, but the conversation contains only the failing test name. What should the developer do to improve the analysis?
Select the answer
1 correct answer
A.
Ask Copilot to infer the implementation from the test name and avoid adding repository context
B.
Request a general explanation of API testing before discussing the failure
C.
Provide the relevant test, implementation, and failure output, then ask Copilot to trace the behavior
D.
Ask Copilot to rewrite the test without showing the current implementation

Quiz

10/10
GitHub Copilot Fundamentals and Capabilities
Which statement best describes how GitHub Copilot typically generates an inline code suggestion?
Select the answer
1 correct answer
A.
It uses the current coding context, such as surrounding code and comments, to predict likely code
B.
It executes the entire application and generates only code paths that have passed runtime tests
C.
It retrieves one exact matching function from the developer's private repositories
D.
It replaces the language compiler and validates that the code is syntactically and logically correct
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