Which of the following is a key step in data preparation?

Question

Options

• AData normalization
• BModel deployment
• CAlgorithm selection
• DVisual analysis

• A
  86% (31)
• B
  8% (3)
• C
  3% (1)
• D
  3% (1)

Explanation

Data normalization (A) is a key step in data preparation because it rescales feature values to a consistent range, preventing features with larger magnitudes from dominating model training and ensuring algorithms converge correctly.

Model deployment (B) occurs after a model is fully trained and evaluated - it's the final production step, not a data prep activity. Algorithm selection (C) is part of the model design phase, chosen after data is already prepared. Visual analysis (D) may inform understanding of data but is an exploratory technique, not a preparation step itself.

Memory tip: Think of data preparation as everything that happens before the model sees the data - normalization, cleaning, encoding. Anything involving the model itself (selection, deployment) comes after.

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