Exam MLA-C01 Topic 3 Question 206 Discussion

Actual exam question for Amazon's MLA-C01 exam
Question #: 206
Topic #: 3
A company is planning to use an Amazon SageMaker prebuilt algorithm to create a recommendation model. The algorithm must be able to make predictions on high-dimensional sparse data. Which SageMaker algorithm should the company choose for the recommendation model?

Suggested Answer: B Vote an answer

The Factorization Machines algorithm in SageMaker is specifically designed for recommendation systems and works well with high-dimensional sparse data such as user-item interactions. It efficiently models variable interactions and is the best choice for building a recommendation model in this scenario.

by Gustave at Feb 03, 2026, 04:25 PM

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