Company Focus
Databricks Interview Problems (20)
Problems reported from Databricks data science interviews
| Status | Title | Difficulty | |||
|---|---|---|---|---|---|
| Data Lakes vs Data Warehouses Pro | Easy | ||||
| What Is RAG? Pro | Easy | ||||
| Adjacency List vs Matrix Pro | Medium | ||||
| Chunking Strategies for RAG Pro | Medium | ||||
| ETL vs ELT Pro | Medium | ||||
| Unlock all 20+ problems | |||||
| Gradient Accumulation Pro | Medium | ||||
| Gradient Boosting Overfitting Pro | Medium | ||||
| Greedy vs Dynamic Programming Pro | Medium | ||||
| Hyperparameter Tuning: Bayesian vs Grid Search Pro | Medium | ||||
| Multi-Step CTE Pipeline Pro | Medium | ||||
| Unlock all 20+ problems | |||||
| Simple CTE for Readability Pro | Medium | ||||
| Spark vs Hadoop MapReduce Pro | Medium | ||||
| Vector Databases for RAG Pro | Medium | ||||
| Cosine Annealing Schedule Pro | Hard | ||||
| CTE with Window Function for Running Comparison Pro | Hard | ||||
| Unlock all 20+ problems | |||||
| Database Indexing with B-Trees Pro | Hard | ||||
| Data Serialization Formats Pro | Hard | ||||
| MLflow and Experiment Tracking Pro | Hard | ||||
| Recursive CTE for Number Sequence Pro | Hard | ||||
| Scikit-learn Pipelines Pro | Hard | ||||
| Unlock all 20+ problems | |||||