AIF-C01 Fundamentals of AI and ML Practice Question
A startup wants to build a product recommendation engine for their e-commerce platform. They have user purchase history and item metadata. They want a fully managed solution that can automatically train and deploy a recommendation model without needing to manage the underlying ML lifecycle. The solution should provide personalized recommendations based on collaborative filtering. Which AWS service should they use?
⚠ Common exam trap
A common mix-up: candidates confuse Amazon SageMaker's built-in algorithms (like Factorization Machines) with a fully managed recommendation service, overlooking the requirement for automatic lifecycle management and instead focusing only on the algorithm capability.
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
✓
Use Amazon Personalize
Amazon Personalize is a fully managed service that enables you to build and deploy recommendation models without managing the underlying ML lifecycle. It supports collaborative filtering out of the box, using user purchase history and item metadata to generate personalized recommendations, which directly matches the startup's requirements.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Use Amazon Kendra
Why it's wrong here
Kendra is an intelligent search service, not for recommendations.
- ✗
Use Amazon Lex
Why it's wrong here
Lex is for building conversational interfaces, not recommendation engines.
- ✓
Use Amazon Personalize
Why this is correct
Personalize is fully managed and specifically designed for recommendation systems.
- ✗
Use Amazon SageMaker built-in Factorization Machines algorithm
Why it's wrong here
While possible, this requires manual training, deployment, and management, not fully managed.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This AIF-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 AIF-C01 exam.