AIF-C01 Applications of Foundation Models Practice Question
A company wants to build a chatbot that responds to customer queries using a foundation model. They need low latency and want to avoid managing infrastructure. Which AWS service should they use?
⚠ Common exam trap
AWS often tests the misconception that AWS Lambda can handle any serverless workload, but candidates must recognize that Lambda is unsuitable for large model inference due to its execution time, memory, and GPU limitations, whereas Bedrock is purpose-built for foundation model access.
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
✓
Amazon Bedrock
Amazon Bedrock is a fully managed service that provides access to foundation models (FMs) from leading AI providers via a simple API, eliminating the need to manage underlying infrastructure. It is designed for building generative AI applications like chatbots with low latency, as it handles model hosting, scaling, and inference optimization automatically. This makes it the ideal choice for the company's requirement of low-latency responses without infrastructure management.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Amazon EC2
Why it's wrong here
EC2 requires full infrastructure management.
- ✗
AWS Lambda
Why it's wrong here
Lambda is for code execution, not direct foundation model access.
- ✓
Amazon Bedrock
Why this is correct
Correct: Bedrock is serverless and provides API access to foundation models.
- ✗
Amazon SageMaker
Why it's wrong here
SageMaker requires managing endpoints and scaling.
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JA
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.