GH-300 Practice Test

Review 124 GH-300 practice questions with answer explanations and community insights.

Question 1

Which Microsoft ethical AI principle is aimed at ensuring AI systems treat all people equally?

  1. Privacy and Security
  2. Fairness
  3. Reliability and Safety
  4. Inclusiveness

Question 2

What can be done during AI development to minimize bias?

  1. Collect massive amounts of data for training.
  2. Focus on accuracy of the data.
  3. Use diverse data, fairness metrics, and human oversight.
  4. Improve on the computational efficiency and speed.

Question 3

Why is it important to ensure the security of the code used in Generative AI (Gen AI) tools?

  1. Ensuring code security prevents unauthorized access and potential data breaches.
  2. Ensuring code security enables the AI system to handle larger datasets effectively.
  3. Ensuring code security maintains the integrity of the AI system.
  4. Ensuring code security supports the development of more advanced AI features.

Question 4

A social media manager wants to use AI to filter content. How can they promote transparency in the platform’s AI operations?

  1. By providing clear explanations about the types of content the AI is designed to filter and how it arrives at its conclusion.
  2. By relying on a well-regarded AI development company.
  3. By regularly updating the AI filtering algorithm.
  4. By focusing on user satisfaction with the content filtering

Question 5

How does GitHub Copilot Chat utilize its training data and external sources to generate responses when answering coding questions?

  1. It primarily relies on the model’s training data to generate responses.
  2. It combines its training data set, code in user repositories, and external sources like Bing to generate responses.
  3. It uses user-provided documentation and exclusively to generate responses.
  4. It primarily uses search results from Bing to generate responses.