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SARAVANA KUMAR · TECHNICAL KNOWLEDGE · fresher

Agentic AI: fresher interview questions

20 concise answers with illustrative scenarios and follow-up questions. Use them to explain reasoning, not memorize scripts.

1. What is an LLM?

It is a model that predicts and generates language-like sequences from context. Fluent output is not proof of factual correctness.

Illustrative scenario

A support assistant drafts a response.

Explain your reasoning

Apply the answer to this scenario: How will important claims be checked? State your assumptions, the expected outcome and how you would check it before changing a real system.

Common follow-up

How will important claims be checked?

Related worked example and code · Official Agentic AI documentation

2. What is a prompt?

It supplies instructions and context to a model, but is not a security boundary.

Illustrative scenario

A prompt asks for a concise explanation.

Explain your reasoning

Apply the answer to this scenario: Which rules must application code enforce? State your assumptions, the expected outcome and how you would check it before changing a real system.

Common follow-up

Which rules must application code enforce?

Related worked example and code · Official Agentic AI documentation

3. What is an embedding?

It is a numeric representation used for similarity and other model tasks.

Illustrative scenario

Search compares a question with document representations.

Explain your reasoning

Apply the answer to this scenario: Why does similarity not guarantee truth? State your assumptions, the expected outcome and how you would check it before changing a real system.

Common follow-up

Why does similarity not guarantee truth?

Related worked example and code · Official Agentic AI documentation

4. What is RAG?

Retrieval-augmented generation supplies retrieved material as context for generation.

Illustrative scenario

A help assistant retrieves product documentation.

Explain your reasoning

Apply the answer to this scenario: What if retrieval returns the wrong document? State your assumptions, the expected outcome and how you would check it before changing a real system.

Common follow-up

What if retrieval returns the wrong document?

Related worked example and code · Official Agentic AI documentation

5. What is a tool call?

It is a structured request for an application to invoke a capability. The application must validate and authorize it.

Illustrative scenario

A model proposes looking up an order.

Explain your reasoning

Apply the answer to this scenario: Does proposing a call mean it is permitted? State your assumptions, the expected outcome and how you would check it before changing a real system.

Common follow-up

Does proposing a call mean it is permitted?

Related worked example and code · Official Agentic AI documentation

6. What is an agent?

It is an application that uses model-driven decisions with state, tools or iterative steps toward a task.

Illustrative scenario

A research assistant chooses another retrieval step.

Explain your reasoning

Apply the answer to this scenario: When is a fixed workflow simpler? State your assumptions, the expected outcome and how you would check it before changing a real system.

Common follow-up

When is a fixed workflow simpler?

Related worked example and code · Official Agentic AI documentation

7. What is context length?

It is a model-specific limit on the tokens handled in a request or context window, with related input/output constraints.

Illustrative scenario

A long document cannot be passed in full.

Explain your reasoning

Apply the answer to this scenario: How would you select the relevant sections? State your assumptions, the expected outcome and how you would check it before changing a real system.

Common follow-up

How would you select the relevant sections?

Related worked example and code · Official Agentic AI documentation

8. What is hallucination?

It is unsupported or incorrect generated content presented plausibly.

Illustrative scenario

An assistant invents a policy clause.

Explain your reasoning

Apply the answer to this scenario: How should it respond when evidence is missing? State your assumptions, the expected outcome and how you would check it before changing a real system.

Common follow-up

How should it respond when evidence is missing?

Related worked example and code · Official Agentic AI documentation

9. What is chunking?

It splits material into retrievable units while preserving useful context.

Illustrative scenario

A manual is divided by coherent sections.

Explain your reasoning

Apply the answer to this scenario: How can arbitrary splits lose an important qualification? State your assumptions, the expected outcome and how you would check it before changing a real system.

Common follow-up

How can arbitrary splits lose an important qualification?

Related worked example and code · Official Agentic AI documentation

10. What is a vector store?

It stores representations and supports similarity-based retrieval, often alongside metadata filters.

Illustrative scenario

Search a documentation collection.

Explain your reasoning

Apply the answer to this scenario: How do you enforce tenant access before returning results? State your assumptions, the expected outcome and how you would check it before changing a real system.

Common follow-up

How do you enforce tenant access before returning results?

Related worked example and code · Official Agentic AI documentation

11. What is structured output?

It constrains output shape through supported mechanisms, but still requires semantic validation.

Illustrative scenario

A model returns a JSON appointment proposal.

Explain your reasoning

Apply the answer to this scenario: Can valid JSON contain an impossible date? State your assumptions, the expected outcome and how you would check it before changing a real system.

Common follow-up

Can valid JSON contain an impossible date?

Related worked example and code · Official Agentic AI documentation

12. What is grounding?

It connects a response to relevant evidence or authoritative data.

Illustrative scenario

An answer cites a specific policy passage.

Explain your reasoning

Apply the answer to this scenario: Does adding a citation automatically prove the claim? State your assumptions, the expected outcome and how you would check it before changing a real system.

Common follow-up

Does adding a citation automatically prove the claim?

Related worked example and code · Official Agentic AI documentation

13. What is agent state?

It is application information carried across steps, such as messages, decisions and progress.

Illustrative scenario

A workflow remembers which document was reviewed.

Explain your reasoning

Apply the answer to this scenario: Which state should persist after a restart? State your assumptions, the expected outcome and how you would check it before changing a real system.

Common follow-up

Which state should persist after a restart?

Related worked example and code · Official Agentic AI documentation

14. What is a human approval step?

It pauses an action for an authorized person to approve specific parameters.

Illustrative scenario

A payment proposal needs confirmation.

Explain your reasoning

Apply the answer to this scenario: How is approval bound to the exact action? State your assumptions, the expected outcome and how you would check it before changing a real system.

Common follow-up

How is approval bound to the exact action?

Related worked example and code · Official Agentic AI documentation

15. What is a stop condition?

It defines when a workflow finishes or escalates instead of continuing indefinitely.

Illustrative scenario

A search agent reaches its evidence or step budget.

Explain your reasoning

Apply the answer to this scenario: What outcome is returned when the budget is exhausted? State your assumptions, the expected outcome and how you would check it before changing a real system.

Common follow-up

What outcome is returned when the budget is exhausted?

Related worked example and code · Official Agentic AI documentation

16. What is an evaluation dataset?

It is a collection of representative inputs and expected criteria used to measure behaviour.

Illustrative scenario

A support bot is checked on common and difficult questions.

Explain your reasoning

Apply the answer to this scenario: How do you avoid tuning only to the test set? State your assumptions, the expected outcome and how you would check it before changing a real system.

Common follow-up

How do you avoid tuning only to the test set?

Related worked example and code · Official Agentic AI documentation

17. What is prompt injection?

It is an attempt to make untrusted content redirect an application's behaviour or override its intended instructions.

Illustrative scenario

A retrieved document tells the agent to expose secrets.

Explain your reasoning

Apply the answer to this scenario: Where should trusted instructions and permissions be enforced? State your assumptions, the expected outcome and how you would check it before changing a real system.

Common follow-up

Where should trusted instructions and permissions be enforced?

Related worked example and code · Official Agentic AI documentation

18. What is temperature?

It is a generation parameter affecting sampling behaviour where supported; lower values do not guarantee truth or determinism.

Illustrative scenario

A system requests more consistent formatting.

Explain your reasoning

Apply the answer to this scenario: Which validations are still needed? State your assumptions, the expected outcome and how you would check it before changing a real system.

Common follow-up

Which validations are still needed?

Related worked example and code · Official Agentic AI documentation

19. What is latency?

It is the time to produce a useful result, including retrieval, model calls and tools.

Illustrative scenario

A user waits while an agent performs several steps.

Explain your reasoning

Apply the answer to this scenario: Which step dominates the critical path? State your assumptions, the expected outcome and how you would check it before changing a real system.

Common follow-up

Which step dominates the critical path?

Related worked example and code · Official Agentic AI documentation

20. What is observability?

It records enough safe information to understand system behaviour across steps and failures.

Illustrative scenario

A trace links retrieval, model decisions and tool outcomes.

Explain your reasoning

Apply the answer to this scenario: What must be redacted from traces? State your assumptions, the expected outcome and how you would check it before changing a real system.

Common follow-up

What must be redacted from traces?

Related worked example and code · Official Agentic AI documentation