AIF-C01 Fundamentals of Generative AI Practice Question
A company wants to use a large language model to generate code based on natural language descriptions. They need to minimize latency and control costs by running inference on their own infrastructure. Which approach is most suitable?
⚠ Common exam trap
AWS often tests the distinction between managed API services (like Bedrock) and self-managed deployment options (like SageMaker), where candidates mistakenly choose Bedrock for 'control' over costs and latency, not realizing that Bedrock is a pay-per-token managed service with no infrastructure control.
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 SageMaker to deploy a custom LLM
Amazon SageMaker allows you to deploy a custom large language model (LLM) on your own infrastructure, giving you full control over inference latency and cost. By using SageMaker endpoints with auto-scaling and instance selection, you can optimize for low-latency responses while avoiding per-token API charges from managed services.
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 Bedrock API
Why it's wrong here
Bedrock is a managed service and runs on AWS infrastructure, not the customer's own.
- ✓
Use Amazon SageMaker to deploy a custom LLM
Why this is correct
SageMaker can deploy models on customer-specified instances, giving control over latency and cost.
- ✗
Use Amazon Comprehend
Why it's wrong here
Comprehend is for natural language understanding tasks, not generative code output.
- ✗
Use Amazon Lex
Why it's wrong here
Lex is designed for building conversational interfaces, not for general code generation.
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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.