AIF-C01 Fundamentals of Generative AI Practice Question
A team is using Amazon Bedrock to generate images from text prompts. The generated images often contain artifacts and do not match the prompt description. Which combination of steps should the team take to improve image quality?
⚠ Common exam trap
AWS often tests the misconception that image quality issues are best solved by model retraining or changing the model, rather than by adjusting inference-time parameters like CFG scale and inference steps, which are the immediate and correct levers for prompt adherence and artifact reduction.
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
✓
Refine the prompt with more descriptive language and adjust the CFG scale and inference steps.
Refining the prompt with more descriptive language helps the model better interpret the user's intent, while adjusting the CFG (Classifier-Free Guidance) scale controls how strictly the model adheres to the prompt, and increasing inference steps allows the diffusion process to produce higher-quality, artifact-free images. These are standard hyperparameters in diffusion-based image generation models on Amazon Bedrock, directly addressing both artifacts and prompt mismatch.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Fine-tune the model using SageMaker Ground Truth and increase the training epochs.
Why it's wrong here
Fine-tuning addresses style but not immediate prompt adherence; Ground Truth is for labeling.
- ✗
Increase the max token count and use a larger model variant.
Why it's wrong here
Max tokens apply to text generation, not image generation.
- ✓
Refine the prompt with more descriptive language and adjust the CFG scale and inference steps.
Why this is correct
Better prompts and tuning inference parameters directly improve image quality.
- ✗
Use a different foundation model and increase the image resolution.
Why it's wrong here
Model switch might help, but resolution alone doesn't fix artifacts.
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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.