Technology & Programming

Expert-Level Data Science Quiz

A deep dive into sophisticated techniques and theory for seasoned developers.

#deep learning#machine learning#statistics#algorithmic bias#data pipelines#scalable computing#time series#feature engineering#model evaluation#big data

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Total Questions

Difficulty Level

hard

Progress

0/0

Quiz Questions

Answer all questions below and test your knowledge.

1
Which loss function is most appropriate for training a gradient boosted regression tree when the target distribution is highly skewed?
Question 1
2
In a Spark Structured Streaming job, which operation guarantees exactly‑once semantics for aggregations?
Question 2
3
Which dimensionality reduction technique preserves pairwise geodesic distances on a nonlinear manifold?
Question 3
4
When deploying a TensorFlow model with TensorRT optimization, which precision mode typically yields the highest throughput without severe accuracy loss for image classification?
Question 4
5
In causal inference, the back‑door criterion is satisfied if a set of variables blocks all back‑door paths. Which property must that set also satisfy?
Question 5
6
Which SQL window function can be used to compute a running total that restarts for each new category?
Question 6
7
In Bayesian optimization, the acquisition function balances exploration and exploitation. Which acquisition function explicitly incorporates the probability of improvement?
Question 7
8
For a time‑series forecasting model, which evaluation metric is most robust to occasional large outliers?
Question 8
9
When using Apache Arrow to share a DataFrame between Python and R, which data type mapping can cause silent precision loss?
Question 9

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Expert-Level Data Science Quiz

Quiz Intelligence

Quiz Questions

Which loss function is most appropriate for training a gradient boosted regression tree when the target distribution is highly skewed?

In a Spark Structured Streaming job, which operation guarantees exactly‑once semantics for aggregations?

Which dimensionality reduction technique preserves pairwise geodesic distances on a nonlinear manifold?

When deploying a TensorFlow model with TensorRT optimization, which precision mode typically yields the highest throughput without severe accuracy loss for image classification?

In causal inference, the back‑door criterion is satisfied if a set of variables blocks all back‑door paths. Which property must that set also satisfy?

Which SQL window function can be used to compute a running total that restarts for each new category?

In Bayesian optimization, the acquisition function balances exploration and exploitation. Which acquisition function explicitly incorporates the probability of improvement?

For a time‑series forecasting model, which evaluation metric is most robust to occasional large outliers?

When using Apache Arrow to share a DataFrame between Python and R, which data type mapping can cause silent precision loss?

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