Feb 19, 2021
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Data Modeler Interview Questions
4,819 data modeler interview questions shared by candidates
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They asked about my projects and experience in detail which I answered.
Introduce yourself; what do you know about the EU Taxonomy; what did you learn in x course in your Master's.
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.
-Tell us about yourself. -How do you know about our company? -Given a data set, ask to write some code to manipulate the data according to requirement.
derive BS formula
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?
How bridge piers would affect flow on a river and how this impacts flood risk?
Q: Imagine that you have been assigned to a project that is behind schedule, what initial action would you take to fix this?
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