What is likelihood? What kind of discrete probability distributions you know?
Data Modelling Interview Questions
4,822 data modelling interview questions shared by candidates
Technical Assessment (20 minutes) LeetCode Question: Longest Palindromic Substring Coding live where the interviewer can see your code on a shared editor. Discussion and Questions (40 minutes) Self-Introduction Project Discussion: Explain a project related to LLM LLM Creation: How is a Large Language Model created? Model Architectures: Explain the different models and their architectures (e.g., GPT, LLAMA, Falcon, BLOOM) Positional Embeddings: What is the purpose of positional embeddings? Normalization Techniques: Difference between BatchNorm and LayerNorm Retrieval-Augmented Generation (RAG): - What is RAG? Explain its purpose. - Even if you use RAG, there are hallucinations occurring. Why is this so and what can you do to mitigate? - What other current academic advancements in RAG? Explain about some frameworks that are trending. Scenario Question: If we have large-scale data (billions of records) from the web, how can I efficiently select math-related data? Discuss using distributed computing frameworks if possible.
How have you faced conflict in your previous role
Q: Why the role, why the CIMA qualification, time management questions, how do you solve problems. very generic questions
Why do you want to shift?
What do you prioritize when looking for a new role? What are you most excited about when applying to a new position?
What is your 3-5 year plan and how does this position fit into your plan?
They asked me about my degree and my khowlegded
Could you tell us a bit about yourself?
Typical stuff like describe a time you worked on a project with others, etc.
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