Agentic AI MCQ Sheet
📘 Agentic AI MCQ Sheet
MCQ Answers
| # | Question | Answer |
|---|---|---|
| Q1 | What is one primary function that distinguishes Agentic AI from traditional automation tools? | B) Making goal-aligned decisions with minimal human input |
| Q2 | What is a critical step when initiating the Agent Development Life Cycle? | C) Identifying business goals and stakeholder needs |
| Q3 | Why is user interaction important during agent design? | C) To provide agents with real-time feedback and contextual clues |
| Q4 | In what way does Agentic AI surpass traditional chatbots in capability? | A) By interpreting evolving context to take initiative |
| Q5 | What is one major challenge organizations face during Agentic AI implementation? | D) None of the above |
Short Answer Questions
Q1. What are AI agents?
AI agents are systems that can think, plan, and take actions to achieve goals.
Q2. How do AI agents differ from other AI tools?
AI agents can act and make decisions autonomously, while normal AI tools only respond to inputs.
Q3. How do AI agents communicate to get work done?
They use APIs, tools, and sometimes A2A (Agent-to-Agent) communication to communicate with other agents.
Q4. What kinds of security gaps can arise with agentic AI?
- Attacks on agents
- Prompt Injection
- Hallucinations (wrong decisions)
- Privilege abuse
- Tool poisoning
Q5. What is data poisoning? What are prompt injections? How do they relate to agentic AI?
- Data poisoning: corrupting training data
- Prompt injection: tricking AI with malicious inputs
- Both can make agents take harmful or wrong actions.
Q6. What steps can companies take to improve agentic AI security?
- Sandboxing
- Logging
- Prompt Injection Protection
- Human-in-the-Loop
Q7. How does mapping all the interactions between LLMs, tools such as OCR, internal systems, and users lessen risk?
It helps understand and control how AI connects with tools and users.
Q8. When agentic AI systems are making critical decisions, how can companies ensure accountability?
By logging actions and tracking decisions.
📝 Study sheets compiled for AI for Cyber Security 2026