Quiz on Agentic AI

1. What best defines Agentic AI?

A rule-based expert system An AI that can plan, act, and adapt autonomously A chatbot that only answers questions A static machine learning model

2. Which capability is central to agentic behavior?

Memorization Autonomy Data labeling Manual execution

3. What does “planning” mean in Agentic AI?

Predicting labels Generating random actions Decomposing goals into actionable steps Storing data permanently

4. Which component allows an agent to interact with its environment?

Tokenizer Tool or actuator Dataset Loss function

5. What role does memory play in Agentic AI?

It limits model size It stores past experiences for future decisions It replaces planning It removes the need for tools

6. Which loop is commonly used in agentic systems?

Train–Test loop Observe–Plan–Act loop Encode–Decode loop Read–Write loop

7. How is Agentic AI different from traditional ML models?

It cannot learn It acts independently toward goals It uses less data It avoids reasoning

8. Which of the following is an example of an agentic task?

Classifying images Translating text Booking travel by coordinating multiple services Predicting house prices

9. What is a multi-agent system?

A system with multiple datasets A single model with many layers Multiple agents collaborating or competing A system without goals

10. Which risk is commonly associated with Agentic AI?

Overfitting Loss of control or unintended actions Undertraining Data imbalance