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AI0-001 Implementing AI Solutions Practice Question

A team is building a recommendation system for an e-commerce platform. They need to update recommendations in real-time as users browse. Which integration pattern is MOST suitable?

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

AI microservices with a REST API

AI microservices deployed behind a REST API allow each recommendation request to be handled independently, scaling horizontally to meet real-time demands.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Streaming responses from a single monolithic model

    Why it's wrong here

    Streaming responses from a monolithic model lacks scalability and fault isolation; a monolithic architecture is harder to update and maintain for real-time use.

  • Batch processing with nightly updates

    Why it's wrong here

    Batch processing with nightly updates cannot provide real-time recommendations based on current browsing session.

  • Async processing queue with delayed responses

    Why it's wrong here

    Async queues introduce latency and are not ideal for real-time recommendations where immediate response is expected.

  • AI microservices with a REST API

    Why this is correct

    Microservices with a REST API can handle individual requests on-demand, scale out, and integrate easily with the platform's frontend for real-time recommendations.

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Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

This AI0-001 practice question is part of Courseiva's free CompTIA 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 AI0-001 exam.