Question 1
Which approach helps reduce user errors when interacting with AI systems?
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 of the following describes 'AI hallucination'?
Question 4
Which data does Microsoft Copilot use to generate answers?
Question 5
Why is human oversight critical when using AI-generated content?
Question 6
What is the purpose of a 'confidence score' shown to end users?
Question 7
In Microsoft Excel, how can Copilot help users analyze data?
Question 8
What does “natural language processing” (NLP) enable AI systems to do?
Question 9
What does an LLM 'hallucination' typically mean?
Question 10
Which behaviour demonstrates responsible use of AI generated recommendations in a business report?
Question 11
If you need citations to enterprise sources, which request is best?
Question 12
What is the main purpose of generative AI tools?
Question 13
When should AI-generated outputs be validated most carefully?
Question 14
What does overfitting mean in an AI model?
Question 15
Which method is often used to fine-tune pretrained language models?
Question 16
In Microsoft Excel, how can Copilot help users analyze data?
Question 17
Which action could increase the risk of data exposure when using AI tools?
Question 18
Which practice supports responsible AI?
Question 19
It is acceptable to upload personal or sensitive information into any AI tool.
Question 20
A strong 'role + task + context + constraints' prompt looks like: