Free Microsoft GH-300 Exam Questions
Absolute Free GH-300 Exam Practice for Comprehensive Preparation
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Microsoft GH-300 Exam Questions
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Provided By: Microsoft
- Exam: GitHub Copilot
- Certification: GitHub Certified Administrator
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Total Questions: 482
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Updated On: Jun 09, 2026
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Rated: 4.9 |
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Online Users: 964
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Question 1
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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?
Answer: B
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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?
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Question 2
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How can the insights gained from the metrics API be used to improve the development process in conjunction
with GitHub Copilot?
Answer: D
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How can the insights gained from the metrics API be used to improve the development process in conjunction
with GitHub Copilot?
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Question 3
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You are using GitHub Copilot in your IDE to assist with code generation for a large software project. You are interested in understanding how the GitHub Copilot data pipeline works from the moment you start typing code until the moment a suggestion is made. Which of the following accurately describes the data pipeline lifecycle of GitHub Copilot’s code suggestions in an IDE?
Answer: C
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You are using GitHub Copilot in your IDE to assist with code generation for a large software project. You are interested in understanding how the GitHub Copilot data pipeline works from the moment you start typing code until the moment a suggestion is made. Which of the following accurately describes the data pipeline lifecycle of GitHub Copilot’s code suggestions in an IDE?
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Question 4
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You are working on a function to process customer orders. You need to create a function in Python that calculates the total cost, including taxes and discounts. You decide to use GitHub Copilot to assist with generating the function. To ensure Copilot provides a high-quality suggestion, you write the following prompt: # Function to calculate total cost of order including taxes and discounts. However, the generated code misses the discount logic entirely. Which of the following strategies would most likely improve the quality of GitHub Copilot's suggestions in this scenario?
Answer: B
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You are working on a function to process customer orders. You need to create a function in Python that calculates the total cost, including taxes and discounts. You decide to use GitHub Copilot to assist with generating the function. To ensure Copilot provides a high-quality suggestion, you write the following prompt: # Function to calculate total cost of order including taxes and discounts. However, the generated code misses the discount logic entirely. Which of the following strategies would most likely improve the quality of GitHub Copilot's suggestions in this scenario?
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Question 5
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You are developing a web application using a combination of HTML, JavaScript, and Python. While working on your Python back-end, you switch to JavaScript to write a function for updating the front-end in real-time. However, you notice that Copilot's JavaScript suggestions seem to be based on your recent Python code rather than the JavaScript functions in the current file. This confuses you, and you want to understand how Copilot determines the correct context when switching languages. What should you do to ensure that Copilot generates relevant JavaScript suggestions based on the current file’s context?
Answer: D
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You are developing a web application using a combination of HTML, JavaScript, and Python. While working on your Python back-end, you switch to JavaScript to write a function for updating the front-end in real-time. However, you notice that Copilot's JavaScript suggestions seem to be based on your recent Python code rather than the JavaScript functions in the current file. This confuses you, and you want to understand how Copilot determines the correct context when switching languages. What should you do to ensure that Copilot generates relevant JavaScript suggestions based on the current file’s context?