AI-102 Implement generative AI solutions Practice Question
You need to deploy a generative AI model that can generate images from text descriptions. Which Azure service should you use?
⚠ Common exam trap
Candidates often confuse Azure AI Vision (which analyzes images) with image generation, or assume that Azure Machine Learning is the only way to implement generative AI, overlooking the purpose-built Azure OpenAI Service for this task.
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
✓
Azure OpenAI Service
Azure OpenAI Service provides access to advanced generative AI models like DALL-E, which are specifically designed to generate images from natural language text descriptions. This service offers pre-trained models that can create high-quality images based on textual prompts, making it the correct choice for this task.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Azure OpenAI Service
Why this is correct
Azure OpenAI Service hosts DALL-E models that generate images directly from text prompts, satisfying the text-to-image requirement. Unlike Azure AI Vision, which only analyses or classifies existing images, it performs true generative synthesis. This makes it the appropriate service for producing original visuals from descriptions.
- ✗
Azure Machine Learning
Why it's wrong here
Azure Machine Learning is a platform for training, tuning and deploying custom models; it provides no prebuilt text-to-image generation endpoint. It is tempting when you need full control over model training, but the scenario asks for an existing generative image capability rather than building one.
- ✗
Azure AI Vision
Why it's wrong here
Azure AI Vision performs analysis on existing images — OCR, object detection, captioning — and offers no text-to-image synthesis endpoint. It is tempting because it is the natural service for image workloads, but it consumes images rather than generating them from prompts.
- ✗
Azure AI Language
Why it's wrong here
Azure AI Language handles text analytics such as sentiment, entity extraction and summarisation; it produces no image output whatsoever. It is tempting because the input is a text description, but processing text is not the same as generating an image from it.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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