Google Cloud Professional Machine Learning Engineer — Question 55

You are working on a Neural Network-based project. The dataset provided to you has columns with different ranges. While preparing the data for model training, you discover that gradient optimization is having difficulty moving weights to a good solution. What should you do?

Answer options

• A. Use feature construction to combine the strongest features.
• B. Use the representation transformation (normalization) technique.
• C. Improve the data cleaning step by removing features with missing values.
• D. Change the partitioning step to reduce the dimension of the test set and have a larger training set.

Correct answer: B

Explanation

The correct answer is B, as normalization helps to scale the data within a similar range, improving the gradient optimization process. Option A is incorrect because combining features does not address the issue of differing ranges. Option C does not solve the scaling problem, and option D focuses on partitioning rather than normalizing the data, which is essential for gradient optimization.