Curated · Databricks
Top 25 Databricks Interview Questions
Here are the top 25 AI interview questions tagged for Databricks 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.
- 01What does LoRA do, and why is it popular for fine-tuning?Multiple ChoiceMedium·Qual 4.7
- 02Which metric best measures whether a RAG answer is grounded in the retrieved context?Multiple ChoiceMedium·Qual 4.7
- 03When should you fine-tune instead of using RAG?Short AnswerMedium·Qual 4.6
- 04Estimate the per call cost of a typical RAG chatbot using GPT-4o-mini.FlashcardEasy·Qual 4.4
- 05Misconception: 'LoRA is just a quantization technique'Multiple ChoiceEasy·Qual 4.0
- 06Select all dimensions that meaningfully drive cost on a managed vector database bill in 2026.Multi-selectEasy·Qual 4.0
- 07Define faithfulness in RAG evaluation and distinguish it from answer relevanceFlashcardEasy·Qual 4.0
- 08Match each instruction dataset to its on-disk row shape.Match PairsMedium·Qual 4.0
- 09Running LLM-as-judge on your full eval set costs $200 per run. The team runs evals 10 times a day during development. How do you cut cost without losing signal?Multiple ChoiceMedium·Qual 4.0
- 10Your RAG system's faithfulness metric just dropped from 0.91 to 0.74 while context recall stayed flat at 0.85. What's the most likely pipeline layer to investigate first?Multiple ChoiceMedium·Qual 4.0
- 11Match LoRA rank to task typeMatch PairsMedium·Qual 4.0
- 12How do you detect catastrophic forgetting after a domain fine-tune?Short AnswerMedium·Qual 4.0
- 13Three concrete situations where fine-tuning is the wrong toolShort AnswerMedium·Qual 4.0
- 14What four metrics does the RAGAS paper propose and what does each measure?FlashcardMedium·Qual 4.0
- 15Prompt-tuning vs LoRA: pick the architectural reason LoRA tends to winMultiple ChoiceMedium·Qual 4.0
- 16What does trajectory evaluation measure that final answer accuracy alone cannot capture?Multiple ChoiceMedium·Qual 4.0
- 17Pre-filter versus post-filter strategies for metadata-constrained ANN search — what breaks at each extreme?Multiple ChoiceMedium·Qual 4.0
- 18LoRA vs full FT on 7B + 10k examples: order of magnitude cost comparisonShort AnswerMedium·Qual 4.0
- 19Sketch a Llama 3.1 70B self-host versus hosted-API break-even on the back of an envelopeShort AnswerMedium·Qual 4.0
- 20A distilled model hits 92% on a public benchmark but 31% on an internal hold-out: diagnose.Short AnswerMedium·Qual 4.0
- 21A production model has no ground-truth labels on live traffic. Design a monitoring plan that catches degradation before users complain.Short AnswerMedium·Qual 4.0
- 22How is a RAG vector store used as an external long term memory layer inside an agent?Short AnswerMedium·Qual 4.0
- 23Walk through the triage order when a customer-support LoRA tanks MMLU by 4 points post-deployOrder StepsMedium·Qual 4.0
- 24Which properties correctly describe the complementary roles of the three LLM evaluation modes?Multi-selectMedium·Qual 4.0
- 25What events must be logged in every agent execution trace for debugging to be tractable?Short AnswerMedium·Qual 4.0
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