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AIF-C01 Practice Question: Using Amazon Bedrock to build a code generation…
A company is using Amazon Bedrock to build a code generation assistant for internal developers. They want to reduce costs by processing batch requests during off-peak hours. Which Bedrock feature should they use?
⚠ Common exam trap
The AWS exam often tests the distinction between cost-optimization features (Batch Inference) and performance-guarantee features (Provisioned Throughput), so candidates may mistakenly choose Provisioned Throughput thinking it reduces costs, when it actually increases costs for guaranteed capacity.
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
✓
Bedrock Batch Inference
B is correct because Amazon Bedrock Batch Inference is specifically designed for processing large volumes of inference requests asynchronously, which allows the company to schedule batch jobs during off-peak hours to reduce costs. This feature leverages lower pricing for asynchronous workloads and is ideal for non-real-time use cases like code generation for internal developers.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Bedrock Guardrails
Why it's wrong here
Guardrails filter and moderate prompts and responses for safety policy compliance; they do not queue requests or shift processing to cheaper off-peak windows. They are tempting because content filtering is a real requirement for internal code assistants, but it addresses safety rather than the stated cost objective.
- ✓
Bedrock Batch Inference
Why this is correct
Bedrock Batch Inference processes large volumes of requests asynchronously at reduced cost, ideal for non-urgent code generation jobs run during off-peak hours. It satisfies the cost-reduction constraint by trading immediate responses for lower-priced bulk processing.
- ✗
Provisioned Throughput
Why it's wrong here
Provisioned Throughput reserves dedicated model capacity at a committed hourly rate, which raises baseline spend rather than reducing it through deferred off-peak processing. It is tempting because reserved capacity genuinely suits steady, high-volume production workloads needing predictable latency.
- ✗
Bedrock Agents
Why it's wrong here
Agents orchestrate multi-step tasks by invoking APIs and tools, not schedule deferred inference jobs, so they cannot deliver the off-peak cost saving. They are tempting because agentic workflows genuinely suit interactive assistants that must call external systems to complete developer requests.
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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.