- A
Anthropic
Anthropic Claude 3 models (Haiku, Sonnet, Opus) accept both text and images as input.
- B
Mistral AI
Why wrong: Mistral models on Bedrock are text-only.
- C
Cohere
Why wrong: Cohere models on Bedrock are text-only.
- D
Stability AI
Why wrong: Stability AI models on Bedrock are image generation models (e.g., Stable Diffusion), not multimodal text+image input.
Question 475 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. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. 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 developer is building a multimodal application that needs to process both text and images to generate a description. Which Amazon Bedrock model provider offers a multimodal foundation model capable of accepting images and text as input?
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
✓
Anthropic
Anthropic's Claude 3 and Claude 3.5 models on Amazon Bedrock are multimodal, accepting both text and image inputs to generate descriptions. This capability is built into the model's architecture, which processes images alongside text prompts natively, unlike other providers that focus solely on text or image generation.
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.
- ✓
Anthropic
Why this is correct
Anthropic Claude 3 models (Haiku, Sonnet, Opus) accept both text and images as input.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Mistral AI
Why it's wrong here
Mistral models on Bedrock are text-only.
- ✗
Cohere
Why it's wrong here
Cohere models on Bedrock are text-only.
- ✗
Stability AI
Why it's wrong here
Stability AI models on Bedrock are image generation models (e.g., Stable Diffusion), not multimodal text+image input.
Common exam traps
Common exam trap: answer the scenario, not the keyword
AWS often tests the distinction between multimodal models that accept both text and images as input (like Anthropic) versus models that only generate images from text (like Stability AI), causing candidates to confuse image generation with image understanding.
Detailed technical explanation
How to think about this question
Anthropic's Claude 3 models use a vision encoder that tokenizes images into patches and processes them through a transformer alongside text tokens, enabling joint reasoning. This allows the model to answer questions about image content, such as describing objects, reading text from images, or analyzing charts, without requiring separate image preprocessing. The integration with Bedrock's Converse API or InvokeModel with the 'anthropic.claude-3-sonnet-20240229-v1:0' model ID supports base64-encoded image inputs in the messages array.
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
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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: Anthropic — Anthropic's Claude 3 and Claude 3.5 models on Amazon Bedrock are multimodal, accepting both text and image inputs to generate descriptions. This capability is built into the model's architecture, which processes images alongside text prompts natively, unlike other providers that focus solely on text or image generation.
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.
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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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