AI-900 Practice Question: Describe features of generative AI workloads on Azure
A digital marketing agency wants to use an AI model that can create original images of products in different styles based on text prompts, such as 'a luxury watch in a futuristic setting.' Which Azure service should they choose?
⚠ Common exam trap
Many exam-takers confuse Azure Computer Vision's image analysis capabilities with image generation, but Computer Vision cannot create new images—it only extracts information from existing ones.
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 generative AI models like DALL-E, which can create original images from text prompts. This service is specifically designed for tasks such as generating product images in different styles based on descriptive text, making it the correct choice for the agency's requirement.
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 AI Language
Why it's wrong here
Azure AI Language is built for extracting and classifying meaning from written text — tasks such as sentiment detection, key phrase extraction, named entity recognition, and custom text classification. These capabilities analyze user input and return structured labels or scores, but they never synthesize new visual content. Even with a text prompt describing an image, the service has no text-to-image generative model, so it cannot produce the required original image.
- ✗
Azure Cognitive Search
Why it's wrong here
Azure Cognitive Search is a retrieval platform for building searchable indexes over existing documents, databases, and blob stores, often enhanced with AI enrichment skills such as OCR or entity extraction. Its output is a ranked list of matching records or passages, not a newly constructed image. While it can be part of a retrieval-augmented generation pipeline, it remains a query-and-retrieve service rather than a generative image model.
- ✓
Azure OpenAI Service
Why this is correct
Azure OpenAI Service exposes the generative models behind ChatGPT and DALL·E, including GPT-4 for natural-language generation and DALL·E 3 for text-to-image generation. By sending a prompt such as 'a modern office with neon branding,' the service synthesizes an original raster image; it also supports image editing and variations. This matches the agency's need, because the service directly maps text descriptions to new visual output rather than categorizing or retrieving existing content.
- ✗
Azure Computer Vision
Why it's wrong here
Azure Computer Vision applies prebuilt and customizable models to analyze an existing image's content, returning objects, people, text, landmarks, and image tags. The underlying Florence models are trained to understand visual scenes, not to render pixels from scratch; even image captioning produces text, not an image. Therefore, if the agency feeds it a text prompt, there is no mechanism to generate an original image, making it unfit for this task.
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Azure Machine Learning Studio
Key term
Model
In IT and AI, a model is a trained mathematical representation that learns patterns from data to make predictions or decisions.
Key term
Azure OpenAI Service
Azure OpenAI Service is a cloud platform from Microsoft that lets developers use powerful artificial intelligence models, like GPT-4, to build applications that can understand and generate human-like text, code, images, and more.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This AI-900 practice question is part of Courseiva's free Microsoft 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 AI-900 exam.