Practice Test GeeksDSE - Data Science Practice Test
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Basic Flashcards

7 cards from real DSE practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.

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  1. Which of the following best describes a 'data pipeline'?

    Answer: A series of automated steps to move and transform data

    A data pipeline automates the flow of data through ingestion, transformation, and loading steps.

  2. What does the term 'null hypothesis' mean in statistical testing?

    Answer: The assumption that there is no effect or difference

    The null hypothesis assumes no effect or difference exists; statistical tests try to find evidence against it.

  3. Which metric measures the proportion of actual positives correctly identified by a classifier?

    Answer: Recall

    Recall (sensitivity) is TP / (TP + FN), measuring how well the model finds all true positives.

  4. What is the purpose of a train/test split in machine learning?

    Answer: To evaluate model performance on unseen data

    Splitting data ensures the model is evaluated on data it has never seen, giving an honest performance estimate.

  5. A correlation coefficient of -0.9 indicates:

    Answer: Strong negative relationship

    A correlation of -0.9 is close to -1, indicating a strong negative linear relationship between two variables.

  6. Which of the following is NOT a common data cleaning task?

    Answer: Training a neural network

    Training a neural network is a modeling step, not a data cleaning task like imputation or deduplication.

  7. What does ETL stand for in data engineering?

    Answer: Extract, Transform, Load

    ETL stands for Extract, Transform, Load — the standard process of moving data from source systems to a data warehouse.