These are AI agent questions of the kind Infosys actually asks — the patterns that keep coming back in Infosys's AI project interviews, where what matters is applying AI agent sensibly for clients rather than research depth. Treat this page as a mock interview: say every answer out loud before revealing it. If one surprises you, the lesson behind it is linked at the bottom.
Infosys AI agent concept questions
What is LangChain, and what is the difference between a chain and an agent?
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How does an AI agent remember earlier steps and previous conversations?
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What precautions would you take before letting an agent perform actions in a client's production systems?
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Infosys AI agent applied & hands-on questions
Classify each as a chain/workflow or an agent, and justify: 1) summarize a document then translate the summary; 2) answer HR questions from policy documents; 3) diagnose why a batch job failed; 4) generate a monthly report from three data sources.
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How to use this page: Infosys rarely asks something you've never seen — they ask a standard AI agent concept and then push one level deeper ("why?", "what would you do if..."). Master the concept in the AI agent course lessons, and the follow-up stops being scary.
Keep practising: What Are AI Agents?, Tool Calling, LangGraph and Agent Safety cover what most Infosys AI agent rounds test — and the Infosys exam guide covers the rest of their selection process.