AIF-C01 Fundamentals of Generative AI Practice Question
A company wants to use Amazon Bedrock to generate images from text descriptions. Which model should they use?
⚠ Common exam trap
Many candidates confuse Stable Diffusion XL as the default image generation model for Bedrock due to its popularity, but Amazon Bedrock prioritizes its own first-party models like Titan for native integration and support.
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 Titan Image Generator
Amazon Titan Image Generator is the correct choice because it is specifically designed by AWS for generating images from text descriptions within Amazon Bedrock. It leverages a diffusion-based architecture to create high-quality images, making it the native and optimal model for this task on the platform.
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 Titan Image Generator
Why this is correct
Amazon Titan Image Generator is purpose-built for text-to-image generation within Bedrock.
- ✗
Stable Diffusion XL
Why it's wrong here
Stable Diffusion XL is not a native Amazon Bedrock model.
- ✗
Amazon Titan Text
Why it's wrong here
Amazon Titan Text generates text, not images.
- ✗
Amazon Polly
Why it's wrong here
Amazon Polly converts text to speech, not images.
Go deeper
Related to this question
About these practice questions
This AIF-C01 question is part of Courseiva's 619-question bank — original exam-style content with full explanations and wrong-answer analysis, never real exam questions or exam dumps. Learn why practice questions differ from exam dumps →
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.