Question 1
When should AI-generated outputs be validated most carefully?
Question 2
What is a major ethical concern for end user AI systems?
Question 3
Which scenarios are suitable for Azure OpenAI Service? (Select all that apply)
Question 4
What is the primary benefit of "OneLake" within Microsoft Fabric?
Question 5
How can you turn AI use into a sustainable habit at work?
Question 6
Which action could increase the risk of data exposure when using AI tools?
Question 7
Power BI Key Influencers helps users to:
Question 8
In human-AI collaboration, what is the main risk of 'automation bias'?
Question 9
AI systems can sometimes produce incorrect or biased results.
Question 10
Which prompt is most likely to yield a clear, actionable checklist?
Question 11
What is Microsoft Copilot mainly used for?
Question 12
Which Microsoft tool allows business users to create custom AI models using their own labeled data?
Question 13
When the model gives an ambiguous answer, what is the best next step?
Question 14
What is the main business benefit of using AI-powered chatbots in customer service?
Question 15
Which of the following is a common use case for predictive analytics in business?
Question 16
What does an LLM 'hallucination' typically mean?
Question 17
Why should an AI be able to explain how it arrives at its results?
Question 18
What is a common risk when relying too heavily on AI-generated content?
Question 19
Which factor most influences the quality of Copilot responses?
Question 20
Why do AI service providers release multiple versions of the same model?