Data Science Expertise Quiz – Hard Level
Challenge your knowledge with seven intricate scenarios covering algorithmic nuance, model validation, and production‑grade data engineering.
Quiz Questions
Answer all questions below and test your knowledge.
- 1
Which loss function is most appropriate for training a probabilistic classifier that predicts calibrated class probabilities?
- 2
In a time‑series forecasting project, you must prevent data leakage when creating lag features. Which practice ensures proper temporal ordering?
- 3
A gradient‑boosted tree model overfits on a high‑dimensional sparse matrix. Which hyperparameter adjustment is most likely to improve generalization?
- 4
When deploying a neural network for real‑time inference, which optimization yields the greatest latency reduction on CPU‑only hardware?
- 5
In causal inference, which method explicitly models the treatment assignment mechanism to adjust for confounding?
- 6
Which SQL window function would you use to compute a rolling 7‑day average of daily sales without duplicating rows?
- 7
During model monitoring, a sudden drift in feature distribution is detected. Which automated response is most appropriate before retraining?
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