How many Fresher / Entry Level questions are in this list?

50 questions, the highest rated Fresher / Entry Level AI interview questions.

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.

Who should use the Fresher / Entry Level question list?

This list is curated for Fresher / Entry Level AI interview candidates. Questions are selected based on community quality scores and cover the most common LLM, transformer, RAG, and production AI topics asked at that level.

Curated · Fresher / Entry Level

Top 50 Fresher / Entry Level Interview Questions

Here are the top 50 AI interview questions for Fresher / Entry Level candidates, sorted by community quality. Each entry links to a detailed answer with explanations, hints, and source grade follow ups. Browse all Fresher questions →

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

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01
Explain scaled dot product attention.
Short AnswerMedium Decagon Freshworks
02
What is the KV cache in transformer inference?
FlashcardEasy Elevenlabs Phonepe
03
What is RLHF, and why is it used after pretraining?
Multiple ChoiceEasy Cognizant Flowise
04
What does LoRA do, and why is it popular for fine-tuning?
Multiple ChoiceMedium Anduril Rephrase Ai
05
When should you fine-tune instead of using RAG?
Short AnswerMedium Kore Ai Persistent
06
Explain why transformers replaced RNNs for language modeling.
Short AnswerEasy Ironclad Together Ai
07
What does RAG primarily help with in LLM based applications?
Multiple ChoiceEasy Airbnb Perplexity
08
What is the Model Context Protocol (MCP) and what problem does it solve?
Multiple ChoiceEasy Accenture Dust
09
What distinguishes an AI agent from a plain LLM call?
Multiple ChoiceEasy Inflection Ai Mu Sigma
10
Which components make up a standard transformer block?
Multiple ChoiceEasy Goldman Sachs Mistral AI
11
PremiumHNSW vs IVF, when…
FlashcardMedium Dust Goldman Sachs
12
How does MCP differ from OpenAI style function calling?
FlashcardMedium Phonepe Promptlayer
13
Match each vector index type to its primary characteristic.
Match PairsMedium Forethought Intel
14
Describe the typical agent execution loop.
Short AnswerMedium Forethought Runway
15
Why is cosine similarity preferred over Euclidean distance for text embeddings?
FlashcardEasy Anthropic Cohere
16
Why does BPE tokenization use subwords instead of words or characters?
FlashcardEasy Meta OpenAI
17
What is the primary purpose of embeddings in modern NLP?
Multiple ChoiceEasy Amazon Perplexity
18
Spot the error in this explanation of temperature.
Spot the ErrorEasy Baseten Siemens
19
Put the steps of a basic RAG query pipeline in order.
Order StepsEasy Perplexity Pinecone
20
Predict the output: how many tokens does this string become with a typical BPE tokenizer?
Predict OutputEasy Fiddler Ai Pinterest
21
Fill in the scaled dot product attention formula.
Fill in BlankEasy Bytedance Gnani
22
Describe the three tier memory hierarchy used by modern LLM agent systems
FlashcardEasy Infosys Mu Sigma
23
Pick the curve shape that the lost-in-the-middle effect produces
Multiple ChoiceEasy Elastic Harvey
24
Define the lost-in-the-middle effect and the empirical pattern it describes
FlashcardEasy Induced Ai Oracle
25
Which OpenTelemetry GenAI attribute records the provider that served a call?
FlashcardEasy Krutrim Reliance Jio
26
How does a sliding window memory keep a chat under budget, and what does it always lose?
FlashcardEasy Alibaba Infosys
27
Why run agent generated code inside an isolated sandbox?
FlashcardEasy Midjourney Persistent
28
Why is context stuffing the opposite of context engineering, even on a 1M-token window?
FlashcardEasy Jane Street Moveworks
29
Define trace, span, and parent span id in one tight pass
FlashcardEasy Bain IBM
30
Translate the 'recipe vs kitchen' analogy into the prompt vs context engineering distinction
FlashcardEasy Datadog Elastic
31
What does observability mean for production LLM agents, and how is it different from app monitoring?
FlashcardEasy Tesla Two Sigma
32
Where does an agent keep short term state during a single task?
FlashcardEasy Lepton Ai Salesforce
33
Why cap each agent run with a cost per task budget?
FlashcardEasy Fractal Analytics Linkedin
34
Distinguish context engineering from prompt engineering in one practitioner's working definition
FlashcardEasy Ltimindtree Notion
35
What does one agent trace capture step by step?
FlashcardEasy Polyai Sierra
36
PremiumPick the most distinctive…
Multiple ChoiceEasy Netflix Pinecone
37
Why is a 4,000-token system prompt usually a code smell?
FlashcardEasy Elevenlabs Flowise
38
Why do six short, specific instructions usually beat one long paragraph of guidance?
FlashcardEasy Anduril Cursor
39
What causes context pollution in a long running agent?
FlashcardEasy Amd IBM
40
When should a production agent pause for human approval?
FlashcardEasy Bain Cresta
41
How is long term memory typically implemented in an agent?
FlashcardEasy Fiddler Ai Roblox
42
Your colleague says MCP and function calling do the same thing. Where are they wrong?
Multiple ChoiceEasy Flipkart Notion
43
Walk through how a token's d_model embedding is split into per head pieces inside multi-head attention.
Multiple ChoiceEasy Neo4j Ola
44
You need to find an MCP server for Slack. Where do you look in 2026?
Multiple ChoiceEasy C3 Ai Freshworks
45
What does the dot product q . k actually measure inside an attention layer?
FlashcardEasy Lepton Ai Linkedin
46
Which sublayer of a dense transformer block carries more parameters, attention or FFN?
Multiple ChoiceEasy Databricks Phonepe
47
PremiumName two situations where…
Short AnswerEasy Humanloop Mckinsey
48
Name the scalar that QK^T is divided by inside scaled dot product attention.
FlashcardEasy Ai21 Anduril
49
Flashcard: what is a stop sequence in an LLM API call and what is it used for?
FlashcardEasy Deepseek Lyzr
50
Before shipping a prompt change, the lead says 'run it against the golden set.' What is a golden dataset and why does every team need one?
FlashcardEasy Ey Krutrim

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