How many Ola questions are in this list?

36 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 Ola questions?

Beyond this Top 36 list, the full Ola library on Zenaique includes every published question, filterable by format, difficulty, role, and experience level.

Curated · Ola

Top 50 Ola Interview Questions

Here are the top 36 AI interview questions tagged for Ola 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
Micro batch vs effective batch in fine-tuning: give the relationship
FlashcardEasy
02
How does CrewAI attach tools to specific agents versus the crew as a whole?
FlashcardEasy
03
Define d_model and name three architecture knobs that scale with it
FlashcardEasy
04
Walk through how a token's d_model embedding is split into per head pieces inside multi-head attention.
Multiple ChoiceEasy
05
PremiumPick the correct posture…
Multiple ChoiceEasy
06
Flashcard: why connect agents through MCP?
FlashcardEasy
07
Inside a T5 style encoder-decoder, which sub-layer reads the encoder outputs, and through which projection?
Multiple ChoiceEasy
08
Match each embedding model selection scenario to the model attribute or check that most determines the right choice.
Match PairsMedium
09
Describe how gen_ai.operation.name separates chat, completion, and embedding spans
FlashcardMedium
10
Pick the situations where GraphRAG earns its build cost over plain vector RAG
Multi-selectMedium
11
Why does a small FT dramatically improve strict JSON output?
Short AnswerMedium
12
Define recall@10 for a vector index, and spell out exactly what 'ground truth' means in that definition.
Short AnswerMedium
13
With max_grad_norm=1.0 and a raw gradient L2 of 12.5, what is the post-clip norm and scale factor?
Predict OutputMedium
14
Who is responsible for resolving tool name collisions in a multi-server MCP setup?
Multiple ChoiceMedium
15
Deploying a vision-language model on a phone or AR headset instead of a server: what actually changes?
Short AnswerMedium
16
Which organization governs MCP, A2A, and ACP as of 2026?
Multiple ChoiceMedium
17
Post-Chinchilla, why is GPT-3 considered undertrained?
Multiple ChoiceMedium
18
How does CLIP style training produce a joint image text embedding space?
Short AnswerMedium
19
Design a kill switch for a production agent fleet
Short AnswerMedium
20
A colleague claims their model is 'grounded' because it cites sources. Explain why citation presence alone does not prove factual grounding.
Multiple ChoiceMedium
21
PremiumWhat does…
Multiple ChoiceMedium
22
Identify the insecure plugin design flaw (LLM07) in this snippet
Multiple ChoiceMedium
23
PremiumDesign a routing tier…
Short AnswerMedium
24
How does per tenant cost gating change the context engineering policy in a multi-tenant product?
FlashcardMedium
25
Does MoE reduce GPU memory footprint at inference compared to a dense model?
Short AnswerMedium
26
PremiumYour only feedback is…
Multiple ChoiceMedium
27
Dividing pre-softmax attention scores by an extra factor > 1 at inference does what?
Multiple ChoiceMedium
28
PremiumWhy is a causal…
Multiple ChoiceMedium
29
Same LoRA recipe on H100 vs A100: what precision should each team default to?
Multiple ChoiceMedium
30
Pre-norm versus post-norm: which placement makes deep stacks stable?
Multiple ChoiceMedium
31
Why does using the same model family as synthetic data teacher AND eval judge inflate FT scores?
Multiple ChoiceMedium
32
Should the system prompt remain identical across all turns of a conversation, or vary per turn?
Multiple ChoiceMedium
33
Naive safety FT failed: model now refuses 'how does anesthesia work?'. Best fix?
Multiple ChoiceHard
34
Predict: what per step accuracy is required to achieve 90% end to end success on a 10 step agent task?
Predict OutputHard
35
Why does token cost grow super linearly with agent step count, and what architectural decisions reduce it?
Short AnswerHard
36
LLM-as-judge scores drift up across 50k weekly evals while user complaints hold steady. Diagnose likely causes and design a calibration system preventing silent score inflation.
Short AnswerHard

36 of 50 requested: only 36 questions tagged for Ola so far.

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