Exam Questions
12 sets · 91 questions — organized by topic.
- Q1.
Explain What is Prompt Engineering? and illustrate with a short AI program.
Hint: Aim for a definition + runnable snippet + sample output.
5 pts - Q2.
Write a AI program that demonstrates Importance in AI & Modern Applications in practice.
Hint: Include input, logic, and commented output lines.
8 pts - Q3.
Compare How AI Models Work (Basic Understanding) with a related concept and state when each is preferable.
Hint: Build a tiny pros/cons table; give a use-case for each side.
5 pts - Q4.
Debug — given a broken snippet using Types of AI Models (LLMs, Diffusion, etc.), identify the bug and fix it.
Hint: Explain the root cause in one line, then give the corrected code.
7 pts - Q5.
Design question — how would Real-world Use Cases of Prompt Engineering scale for 1 million users?
Hint: Think about time/space complexity, caching, batching.
5 pts - Q6.
Explain What is a Prompt? and illustrate with a short AI program.
Hint: Aim for a definition + runnable snippet + sample output.
5 pts - Q7.
Write a AI program that demonstrates Input vs Output in AI Systems in practice.
Hint: Include input, logic, and commented output lines.
8 pts - Q8.
Compare Role of Instructions in Prompts with a related concept and state when each is preferable.
Hint: Build a tiny pros/cons table; give a use-case for each side.
5 pts
