AIF-C01 Fundamentals of Generative AI Practice Question
A media company is using Amazon Bedrock to generate captions for images. They have a batch processing pipeline that sends thousands of images daily to the Bedrock API using the Titan Image Generator G1 model. Recently, they started receiving ThrottlingException errors during peak hours. The team needs to process all images within 24 hours without changing the model or the application code. The current account has a default quota of 10 requests per second (RPS) for the Titan model in us-east-1. The team estimates they need 50 RPS during peak hours. They have already implemented exponential backoff in the client, but the errors persist. What is the MOST effective solution to resolve the throttling issue?
⚠ Common exam trap
A common mix-up: candidates think exponential backoff or distributing across Regions solves all throttling, but the core issue is a hard service quota that must be increased, not a transient rate limit.
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
✓
Request a service quota increase for the InvokeModel API for the Titan model in us-east-1
The team has already implemented exponential backoff, but the errors persist because their current quota of 10 RPS is insufficient for the required 50 RPS. Requesting a service quota increase for the InvokeModel API for the Titan Image Generator G1 model in us-east-1 directly addresses the root cause by raising the throughput limit, allowing the existing application code and model to handle the peak load without any architectural changes.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Request a service quota increase for the InvokeModel API for the Titan model in us-east-1
Why this is correct
Increasing quota directly resolves throttling.
- ✗
Use Amazon SageMaker batch transform to process images offline
Why it's wrong here
Batch transform is for SageMaker endpoints, not Bedrock API.
- ✗
Distribute the requests across multiple AWS Regions
Why it's wrong here
This adds complexity and latency, and quotas are per region.
- ✗
Switch to a different foundation model that has a higher default quota
Why it's wrong here
Changing the model may affect caption quality and still face quotas.
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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.