IBM Data Science Practice Test 2026 – Comprehensive Exam Prep

Question: 1 / 400

In data normalization, which effect does ensuring all values are within a specific range have?

It improves data accuracy

It enhances data variability

It leads to better computational efficiency

Ensuring that all values are within a specific range through normalization can significantly contribute to better computational efficiency. When data values are scaled to a common range, algorithms, especially those relying on distance metrics (like k-Nearest Neighbors or Gradient Descent), can converge faster and perform more optimally. This is because normalized data typically results in more stable gradients and a uniform feature space, which helps in avoiding numerical instability and improving the overall computation speed.

In contrast, features with different scales can disproportionately influence the outcome of certain algorithms, leading to inefficiencies and potentially requiring more iterations to achieve convergence. Thus, normalization not only streamlines the processing of data but also enhances the performance of machine learning models.

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It minimizes the risk of overfitting

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