How many Infosys questions are in this list?

45 questions are published in this slice right now (out of 50 requested). More land as our curation team publishes them.

Are these real AI interview questions?

Yes. Every question is sourced from real AI interview reports across companies like OpenAI, Anthropic, Google, Microsoft, and Cohere, then reviewed by senior AI engineers for accuracy.

Do these questions come with detailed answers?

Yes. Every entry links to a full answer with explanations, hints, key tradeoffs, and recommended follow up questions. Most also include difficulty ratings and community quality scores.

How is the ranking calculated?

Questions are sorted by community quality score, with rating count as the tiebreaker, then difficulty (easier first). Quality scores come from interview candidates rating each question after working through it.

Where can I find more Infosys questions?

Beyond this Top 45 list, the full Infosys library on Zenaique includes every published question, filterable by format, difficulty, role, and experience level.

Curated · Infosys

Top 50 Infosys Interview Questions

Here are the top 45 AI interview questions tagged for Infosys interviews, sorted by community quality. Each entry links to a detailed answer with explanations, hints, and source grade follow ups. See all at this company →

Sorted by community quality · refreshed as new questions are published.

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01
How does a sliding window memory keep a chat under budget, and what does it always lose?
FlashcardEasy
02
Describe the three tier memory hierarchy used by modern LLM agent systems
FlashcardEasy
03
Order the stages of a hybrid sparse plus dense query with reranking inside the database layer.
Order StepsEasy
04
What is the primary distinction between MCP and Google's A2A protocol?
Multiple ChoiceEasy
05
Why OpenAI replaced the experimental Swarm with the Agents SDK in 2025
FlashcardEasy
06
Which loss function does supervised fine-tuning actually minimize?
Multiple ChoiceEasy
07
Flashcard: what is self-consistency prompting and what does it produce as a final answer?
FlashcardEasy
08
Pick the sensible `num_train_epochs` for a typical instruction SFT run on a curated dataset
Multiple ChoiceEasy
09
max_tokens vs stop: pair each parameter with the cap it enforces on the completion.
Match PairsEasy
10
Describe garak's role in the red team toolchain
FlashcardEasy
11
Why is 'dimension 47 means sentiment' a wrong mental model for embeddings?
Multiple ChoiceEasy
12
Spot the error: 'we autoscale our LLM serving pods on CPU utilization.'
Spot the ErrorMedium
13
Why not just retrain models to eliminate attention sinks entirely?
Short AnswerMedium
14
PremiumPick the most reliable…
Multiple ChoiceMedium
15
Order the stages of a production LLM quality assurance pipeline from development to release
Order StepsMedium
16
PremiumPick the architectural reason…
Multiple ChoiceMedium
17
Explain when you'd add a cross-encoder on top of an embedding based retriever and why
Short AnswerMedium
18
How does a chain-of-thought judge differ from a direct score judge, and when is each better?
Short AnswerMedium
19
Predict the outcome when routed tokens exceed an expert's capacity buffer
Predict OutputMedium
20
Contrast a Langfuse generation with a generic span and explain when each is right
FlashcardMedium
21
Decode phase attention is memory bandwidth bound. Explain what flips the regime.
Short AnswerMedium
22
PremiumSpot the capability LangChain…
Multiple ChoiceMedium
23
Explain why raising the RoPE base theta helps a model accept longer contexts
Multiple ChoiceMedium
24
PremiumMatch DDP, FSDP, and…
Match PairsMedium
25
Identify the consistent shape behind Devin, OpenHands, and Claude Code subagents
FlashcardMedium
26
Sequence a blue green swap to this month's model without betting production on it
Order StepsMedium
27
Select every coordination mechanism that shows up in modern multi-agent frameworks
Multi-selectMedium
28
Where the blackboard pattern shows up under different names in modern frameworks
FlashcardMedium
29
Fill the conditions that preserve accumulation to large batch equivalence
Fill in BlankMedium
30
In an MCP tool poisoning attack, which field of the tool definition is the primary attack vector and why?
Multiple ChoiceMedium
31
After a cross-encoder reranker was added on every query, costs doubled: keep the quality, cut the bill
Short AnswerMedium
32
PremiumA support bot keeps…
Short AnswerMedium
33
Judge a strict easy to hard curriculum against mixture plus annealing
Multiple ChoiceMedium
34
When an LLM in a RAG pipeline behaves differently because of the retrieved context, what is actually changing about the model?
Multiple ChoiceMedium
35
PremiumExplain many-shot jailbreaking and…
FlashcardHard
36
Contrast CrewAI role driven model with LangGraph state driven graph
Short AnswerHard
37
PremiumDefend the rule that…
Short AnswerHard
38
PremiumWhat happens when the…
Multiple ChoiceHard
39
Why does self-consistency require temperature > 0 and what specifically happens if you set T = 0?
Multiple ChoiceHard
40
Explain how continuous batching keeps GPUs busy that static batching leaves idle
Short AnswerHard
41
Walk through what FlashAttention does differently from standard attention, and what changes between v1, v2, and v3.
Short AnswerHard
42
What retry and backoff strategy should a production MCP client apply to tools/call failures?
Short AnswerHard
43
Which metrics are essential to debug a P99 TTFT regression in production LLM serving?
Multi-selectHard
44
Design an experiment to determine empirically whether few-shot prompting outperforms zero-shot for a specific task on your production model.
Short AnswerHard
45
What is the core mechanism that distinguishes Self-RAG (Asai et al. 2023) and Corrective-RAG (CRAG, 2024) from a standard single shot retrieve then generate pipeline?
Multiple ChoiceHard

45 of 50 requested: only 45 questions tagged for Infosys so far.

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