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Sanjay Kumar PhD

Sanjay Kumar PhD

AI & Data Leader | Data Science | Enterprise Architecture | Data Governance & Cloud Transformation | AI Engineering & Product | Author | Keynote Speaker

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Top 50 Agentic AI Interview Questions and Answers

13 min readAug 20, 2026

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Agentic AI Fundamentals

1. What is Agentic AI?

Answer:
Agentic AI refers to AI systems designed to pursue goals with a degree of autonomy. Instead of simply responding to a single prompt, an agent can interpret an objective, create a plan, make decisions, use tools, execute multiple steps, evaluate intermediate results, and adapt its strategy.

A simplified architecture is:

Goal → Planning → Reasoning → Tool Selection → Execution → Observation → Evaluation → Replanning → Final Result

The key difference is that an agent does not only generate information; it can also decide and act.

2. How is Agentic AI different from traditional AI?

Answer:
Traditional AI usually performs a predefined task such as classification, prediction, recommendation, or generation.

Agentic AI introduces a broader execution loop.

Traditional AI:

Input → Model → Output

Agentic AI:

Goal → Plan → Act → Observe → Evaluate → Adapt → Continue

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Sanjay Kumar PhD
Sanjay Kumar PhD

Written by Sanjay Kumar PhD

AI & Data Leader | Data Science | Enterprise Architecture | Data Governance & Cloud Transformation | AI Engineering & Product | Author | Keynote Speaker