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AIF-C01 Practice Question: A startup wants to generate high-quality images…
A startup wants to generate high-quality images from text descriptions using Amazon Bedrock. They need to create realistic images of products for an e-commerce catalog. Which model provider should they choose?
⚠ Common exam trap
Many exam-takers confuse general-purpose LLM providers (Anthropic, Mistral, Cohere) with specialized image generation models, assuming any AI model can generate images, but AWS Bedrock explicitly partitions providers by modality.
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
✓
Stability AI
Stability AI is the correct choice because it specializes in image generation models, such as Stable Diffusion, which are designed to produce high-quality, photorealistic images from text prompts. Amazon Bedrock offers Stability AI's models for text-to-image tasks, making it ideal for generating realistic product images for an e-commerce catalog.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Stability AI
Why this is correct
Stability AI provides diffusion-based image generation models on Amazon Bedrock, such as Stable Diffusion, which convert text prompts into photorealistic product imagery. This directly satisfies the startup's requirement for high-quality, realistic e-commerce catalogue images generated from text descriptions, unlike providers offering only text or embedding models.
- ✗
Anthropic
Why it's wrong here
Anthropic's Claude models on Amazon Bedrock are text and multimodal reasoning models; they do not generate images, so they cannot produce product photographs. Anthropic is the right provider when the task is summarisation, analysis, or conversational text generation rather than text-to-image synthesis.
- ✗
Mistral AI
Why it's wrong here
Mistral AI provides text generation and embedding models on Amazon Bedrock, not text-to-image diffusion models, so no image output is produced. Mistral would be the correct provider for tasks such as multilingual text generation, summarisation, or code assistance, not for creating product imagery.
- ✗
Cohere
Why it's wrong here
Cohere's Bedrock models handle text generation and embeddings, not image synthesis, so they cannot render realistic product photographs from descriptions. Cohere is the right choice for semantic search, classification, or retrieval-augmented text tasks rather than text-to-image 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.