- A
Stability AI
Stability AI offers diffusion models for text-to-image generation on Bedrock.
- B
Meta
Why wrong: Meta Llama is a text generation model, not for images.
- C
Anthropic
Why wrong: Anthropic Claude is a text-only model, not for image generation.
- D
Cohere
Why wrong: Cohere focuses on embeddings and text generation, not image generation.
Question 73 of 1,000
AIF-C01 Generative AI and Foundation Models Practice Question
This AIF-C01 practice question tests your understanding of generative ai and foundation models. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
A company needs to generate high-quality product images from textual descriptions for an e-commerce catalog. They want to use a foundation model on AWS that specializes in text-to-image generation. Which model provider should they use through Amazon Bedrock?
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 provider because its Stable Diffusion models, available through Amazon Bedrock, are specifically designed and optimized for text-to-image generation. These models use a diffusion process to generate high-quality images from textual descriptions, making them ideal for the e-commerce catalog use case.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
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 offers diffusion models for text-to-image generation on Bedrock.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Meta
Why it's wrong here
Meta Llama is a text generation model, not for images.
- ✗
Anthropic
Why it's wrong here
Anthropic Claude is a text-only model, not for image generation.
- ✗
Cohere
Why it's wrong here
Cohere focuses on embeddings and text generation, not image generation.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Candidates may confuse foundation models that excel in text generation (like Anthropic or Meta) with those specialized for multimodal tasks, assuming all major AI providers offer image generation capabilities through Amazon Bedrock.
Detailed technical explanation
How to think about this question
Stability AI's models on Bedrock leverage latent diffusion, where a neural network iteratively denoises a random latent representation conditioned on the text prompt to produce a final image. This process allows for high-resolution outputs and fine-grained control over style and content, which is critical for generating product images that match specific catalog requirements. The integration with Bedrock provides serverless access and supports features like negative prompts and image-to-image variations.
KKey Concepts to Remember
- Read the scenario before looking for a memorised answer.
- Find the constraint that changes the correct option.
- Eliminate answers that are true in general but not in this case.
TExam Day Tips
- Watch for words such as best, first, most likely and least administrative effort.
- Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
What to study next
Got this wrong? Here's your next step.
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FAQ
Questions learners often ask
What does this AIF-C01 question test?
Generative AI and Foundation Models — This question tests Generative AI and Foundation Models — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Stability AI — Stability AI is the correct provider because its Stable Diffusion models, available through Amazon Bedrock, are specifically designed and optimized for text-to-image generation. These models use a diffusion process to generate high-quality images from textual descriptions, making them ideal for the e-commerce catalog use case.
What should I do if I get this AIF-C01 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
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Last reviewed: Jul 4, 2026
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.
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