Expert-Level Data Science Quiz

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

deep learningmachine learningstatisticsalgorithmic biasdata pipelinesscalable computingtime seriesfeature engineeringmodel evaluationbig data
Difficulty:HARD

Quiz Details

Questions9
CategoryTechnology & Programming
DifficultyHARD
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Quiz Questions

Answer all questions below and test your knowledge.

  1. 1

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

    Question 1
  2. 2

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

    Question 2
  3. 3

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

    Question 3
  4. 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. 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. 6

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

    Question 6
  7. 7

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

    Question 7
  8. 8

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

    Question 8
  9. 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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