A developer writes a prompt that produces an incorrect result from GitHub Copilot. According to prompt engineering principles, what is the most appropriate next step?

Rewrite the prompt with more context or clearer instructions and try again.

Delete the file and start a new project.

Accept the result and move on to the next task.

Ask Copilot to explain why the result is incorrect.

A developer wants GitHub Copilot to generate a JavaScript function that converts a string to title case (e.g., "hello world" → "Hello World"). The developer is in a file that already contains several utility functions. Which prompt is the most effective?

Create a function called toTitleCase that takes a string and returns it in title case, where the first letter of each word is capitalized.

Add a utility function to this file.

Convert a string to title case.

Write a function to convert a string to title case.

A developer asks Copilot to 'refactor the function we just discussed.' What enables Copilot to understand which function the developer means?

The developer's code editor settings.

The chat history from the previous messages.

In the prompt process flow, what is the primary purpose of the 'testing' step?

To evaluate whether Copilot's output matches the intended requirements.

To delete any incorrect code generated by Copilot.

To ensure the prompt is grammatically correct.

To write the final version of the prompt.

A developer is using GitHub Copilot Chat to work on a Java class. In the first turn, they ask, "What does this class do?" Copilot explains that it manages a list of employees. In the next turn, the developer wants to add a method to find an employee by ID. What is the best follow-up prompt?

Add a method to this class that finds an employee by their ID.

Create a new class for employee management.

Write a method to find an employee by ID.

How do I find an employee by ID in Java?

GitHubCopilot Certification

Domain 4Objective 2

Engineer Prompts for Performance GH-300 Practice Questions (Page 2)

Part of the Apply prompt engineering and context crafting domain, which accounts for 10-15% of the GH-300 exam.

19questions here

4free pages

3concepts

10-15%of the exam

Questions 6–10

6foundation · easy
A developer writes a prompt that produces an incorrect result from GitHub Copilot. According to prompt engineering principles, what is the most appropriate next step?
Select an answer first
7application · medium
A developer wants GitHub Copilot to generate a JavaScript function that converts a string to title case (e.g., "hello world" → "Hello World"). The developer is in a file that already contains several utility functions. Which prompt is the most effective?
Select an answer first
8foundation · easy
A developer asks Copilot to 'refactor the function we just discussed.' What enables Copilot to understand which function the developer means?
Select an answer first
9foundation · easy
In the prompt process flow, what is the primary purpose of the 'testing' step?
Select an answer first
10application · medium
A developer is using GitHub Copilot Chat to work on a Java class. In the first turn, they ask, "What does this class do?" Copilot explains that it manages a list of employees. In the next turn, the developer wants to add a method to find an employee by ID. What is the best follow-up prompt?
Select an answer first

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