AI-900 Practice Question: Describe features of generative AI workloads on Azure
This AI-900 practice question tests your understanding of describe features of generative ai workloads on azure. 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 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?
Why wrong: Azure AI Language provides text analytics capabilities (sentiment, key phrase extraction, etc.) but does not generate images.
B
Azure Cognitive Search
Why wrong: Azure Cognitive Search is used for indexing and searching content, not for generating new images from text.
C
Azure OpenAI Service
Azure OpenAI Service includes generative models like DALL-E for image generation and GPT for text generation, making it suitable for creating original images from text prompts.
D
Azure Computer Vision
Why wrong: Azure Computer Vision analyzes existing images (e.g., object detection, OCR) but does not generate new images from text descriptions.
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.
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.
✗
Azure AI Language
Why it's wrong here
Azure AI Language provides text analytics capabilities (sentiment, key phrase extraction, etc.) but does not generate images.
✗
Azure Cognitive Search
Why it's wrong here
Azure Cognitive Search is used for indexing and searching content, not for generating new images from text.
✓
Azure OpenAI Service
Why this is correct
Azure OpenAI Service includes generative models like DALL-E for image generation and GPT for text generation, making it suitable for creating original images from text prompts.
Related concept
Read the scenario before looking for a memorised answer.
✗
Azure Computer Vision
Why it's wrong here
Azure Computer Vision analyzes existing images (e.g., object detection, OCR) but does not generate new images from text descriptions.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may 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.
Trap categories for this question
Keyword trap
Azure AI Language provides text analytics capabilities (sentiment, key phrase extraction, etc.) but does not generate images.
Detailed technical explanation
How to think about this question
Azure OpenAI Service hosts models like DALL-E 2 and DALL-E 3, which use diffusion-based architectures to generate high-quality images from text descriptions. These models are trained on vast datasets of image-text pairs and can produce novel compositions, styles, and variations, making them ideal for creative tasks like product visualization. In a real-world scenario, the agency could use the DALL-E API to generate multiple product images in different styles (e.g., 'futuristic,' 'vintage') by simply varying the text prompt, enabling rapid prototyping without manual design.
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 company's IT admin needs to give a contractor read-only access to production logs without sharing account credentials. Using role-based access control (RBAC) and temporary scoped permissions — not a permanent shared password — is the correct pattern. Questions like this test whether you can apply least-privilege access across cloud identity services.
Related glossary terms
Concepts from this question explained
These glossary pages explain the core terms tested in this AI-900 question in full detail.
Describe features of generative AI workloads on Azure — This question tests Describe features of generative AI workloads on Azure — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: 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.
What should I do if I get this AI-900 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 →
Share a tip, memory trick, or ask about the reasoning behind this question. Do not post real exam questions, leaked content, braindumps, or copyrighted exam material. Comments are moderated and may be removed without notice.
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.
Question Discussion
Share a tip, memory trick, or ask about the reasoning behind this question. Do not post real exam questions, leaked content, braindumps, or copyrighted exam material. Comments are moderated and may be removed without notice.
Sign in to join the discussion.