They asked about my projects and experience in detail which I answered.
Data Modeler Interview Questions
3,698 data modeler interview questions shared by candidates
derive BS formula
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.
Vous connaissez Arcadis ou pas ? Est-ce que vous pouvez vous présentez ?
Introduce yourself Tell about previous experiences.
Les motivations, les pistes, les perspectives
Quels sont les points importants d'un bon consultant ?
Questions like my technical background, teamwork experience were asked
The company took on a by-pass project, what would you consider when working on it?
How bridge piers would affect flow on a river and how this impacts flood risk?
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