Question 1,184 of 1,672
MLS-C01 Modeling Practice Question
A company is building a recommendation system for an e-commerce platform. The data includes user IDs and item IDs. Which SageMaker built-in algorithm is most appropriate?
⚠ Common exam trap
Test-takers frequently choose XGBoost (B) because it is a versatile algorithm, but they overlook that FM is purpose-built for sparse, high-dimensional interaction data and directly models pairwise feature interactions without manual feature engineering.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Factorization Machines
Factorization Machines (FM) are specifically designed for recommendation tasks with sparse, high-dimensional categorical data like user IDs and item IDs. They model pairwise interactions between features (e.g., user-item interactions) using factorized parameters, making them highly effective for collaborative filtering and implicit feedback scenarios in e-commerce.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
BlazingText
Why it's wrong here
For text classification.
- ✗
XGBoost
Why it's wrong here
Not specifically for recommendation.
- ✓
Factorization Machines
Why this is correct
Designed for recommendation.
- ✗
Image Classification
Why it's wrong here
For images.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
Last reviewed: Jun 24, 2026
This MLS-C01 practice question is part of Courseiva's free Amazon Web Services certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the MLS-C01 exam.
Question Discussion
Share a tip, memory trick, or ask about the reasoning behind this question. Do not post real exam questions, leaked content, braindumps, or copyrighted exam material. Comments are moderated and may be removed without notice.
Sign in to join the discussion.