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Amazon Web Services AWS Certified Specialty MLS-C01 Question # 40 Topic 5 Discussion

MLS-C01 Exam Topic 5 Question 40 Discussion:
Question #: 40
Topic #: 5

A data scientist must build a custom recommendation model in Amazon SageMaker for an online retail company. Due to the nature of the company's products, customers buy only 4-5 products every 5-10 years. So, the company relies on a steady stream of new customers. When a new customer signs up, the company collects data on the customer's preferences. Below is a sample of the data available to the data scientist.

MLS-C01 Question 40

How should the data scientist split the dataset into a training and test set for this use case?
A.

Shuffle all interaction data. Split off the last 10% of the interaction data for the test set.

B.

Identify the most recent 10% of interactions for each user. Split off these interactions for the test set.

C.

Identify the 10% of users with the least interaction data. Split off all interaction data from these users for the test set.

D.

Randomly select 10% of the users. Split off all interaction data from these users for the test set.

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Actual exam question for Amazon Web Services MLS-C01 exam by Kairo7458 at May 1, 2026, 1:16:21 PM

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