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AIF-C01 Practice Question: Needs to generate high-quality images from text…
An organization needs to generate high-quality images from text prompts for a marketing campaign. They require the ability to edit specific regions of an image (inpainting) and extend images beyond their original boundaries (outpainting). Which AWS service or model should they choose?
⚠ Common exam trap
The trap is that candidates may confuse Amazon Rekognition (an image analysis service) with a generative AI service, or assume that any text-to-image model like Stable Diffusion XL inherently supports inpainting/outpainting, when in fact Amazon Titan Image Generator is the AWS-managed service that offers these features.
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 natively supports both inpainting (editing specific regions of an image) and outpainting (extending images beyond their original boundaries) through its image conditioning capabilities. This service is specifically designed for generative image tasks like text-to-image generation, inpainting, and outpainting, making it ideal for the marketing campaign's requirements.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Stable Diffusion XL via Amazon Bedrock
Why it's wrong here
Stable Diffusion XL on Bedrock supports text-to-image but lacks native inpainting/outpainting through the Bedrock API.
- ✗
Amazon Rekognition
Why it's wrong here
Rekognition is for image analysis, not generation.
- ✓
Amazon Titan Image Generator
Why this is correct
Titan Image Generator includes features for inpainting and outpainting.
- ✗
Amazon SageMaker JumpStart with a custom GAN
Why it's wrong here
While a custom GAN deployed via SageMaker JumpStart can generate images from text, it lacks native support for controlled inpainting and outpainting without extensive custom coding and model retraining. The correct service, Amazon Bedrock with a diffusion model, provides built-in APIs for these precise region-based edits. This option is tempting because GANs are historically associated with image generation tasks, and SageMaker JumpStart offers rapid deployment of pre-built models, making it a viable choice for general text-to-image generation without editing requirements.
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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.