Generative AI Use Cases - Quiz

Question 1

Which is a common use of Generative AI?

Writing, education, research, coding, brainstorming and business tasks Only storing files Only calculating simple arithmetic Only managing computer hardware

Question 2

How can Generative AI help with writing?

By creating drafts, summaries, emails, reports and other written content By permanently replacing every human writer By storing documents without processing them By preventing users from editing text

Question 3

How can Generative AI support education?

By providing explanations, examples, practice questions and quizzes By guaranteeing that every student receives a perfect answer By eliminating the need to study By replacing every teacher in every situation

Question 4

How can Generative AI assist software developers?

By generating and explaining code, creating tests and assisting with debugging By automatically guaranteeing secure production software By eliminating the need for testing By preventing developers from changing generated code

Question 5

Why should developers review AI-generated code?

Because generated code can contain bugs, incorrect assumptions or security problems Because AI-generated code can never be executed Because testing is unnecessary for human-written code Because AI can only generate documentation

Question 6

What is a human-in-the-loop system?

A system where a person participates in an important part of the AI workflow A system that does not use humans at all A database containing human names A system that only generates images

Question 7

Why can traditional software and databases be useful alongside Generative AI?

They can provide structured information and apply reliable business rules alongside the AI model They make the AI model unnecessary in every situation They guarantee every AI response is correct They prevent AI systems from generating content

Question 8

How should an organization determine whether an AI application is useful?

By measuring outcomes such as time saved, accuracy, cost, productivity and error rates By assuming that any AI system is automatically beneficial By measuring only the number of AI prompts By avoiding any comparison with the previous process