Question 1
What is 'grounding' in Microsoft Copilot?
Question 2
When you interact with a deployed AI model (like ChatGPT or Claude), are you training or updating the model with your inputs?
Question 3
Which characteristic differentiates large language models (LLMs) like GPT-4 from traditional rule-based chatbots?
Question 4
What are the benefits of using RAG? (Select all that apply)
Question 5
What is a major ethical concern for end user AI systems?
Question 6
A user wants Copilot to summarize a confidential internal report. What is the most important requirement to ensure data security?
Question 7
In Microsoft Excel, how can Copilot help users analyze data?
Question 8
Which of the following is an example of a generative AI task?
Question 9
Which AWS service allows end users to interact with generative AI models through a managed interface?
Question 10
In human-AI collaboration, what is the main risk of 'automation bias'?
Question 11
What is a typical example of generative AI in a business context?
Question 12
What is Microsoft Copilot mainly used for?
Question 13
Which learning approaches use labeled data? (Select all that apply)
Question 14
How can AI help improve business decision-making?
Question 15
What is a key advantage of using Amazon Comprehend for end user applications?
Question 16
In Microsoft Excel, how can Copilot help users analyze data?
Question 17
What is the most effective way to get an accurate summary of a long PDF?
Question 18
What is the most effective way to reduce hallucinations in a response?
Question 19
What does overfitting mean in an AI model?
Question 20
When is it reasonable to rely on AI output without additional human review?