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 creative agency wants to use Azure OpenAI to generate unique images for social media campaigns based on text descriptions. Which Azure OpenAI model should they use for this purpose?
GPT-4
Why wrong: GPT-4 is a large language model for text generation, not image creation.
DALL-E 3
DALL-E 3 is a generative model capable of creating realistic images and art from textual descriptions, perfect for this use case.
Codex
Why wrong: Codex is designed for code generation and completion, not image generation.
Whisper
Why wrong: Whisper is a speech-to-text model, unrelated to image generation.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
DALL-E 3
DALL-E 3 is the correct choice because it is the Azure OpenAI model specifically designed for generating images from natural language text descriptions. It uses a diffusion-based architecture to create high-quality, unique visuals that align with the provided prompts, making it ideal for creative social media campaigns.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
GPT-4
Why it's wrong here
GPT-4 is a large language model for text generation, not image creation.
DALL-E 3
Why this is correct
DALL-E 3 is a generative model capable of creating realistic images and art from textual descriptions, perfect for this use case.
Related concept
Read the scenario before looking for a memorised answer.
Codex
Why it's wrong here
Codex is designed for code generation and completion, not image generation.
Whisper
Why it's wrong here
Whisper is a speech-to-text model, unrelated to image generation.
Common exam traps
The trap here is that candidates often confuse GPT-4's general-purpose AI capabilities with multimodal generation, assuming it can handle images because it can process text and code, but GPT-4 is not designed for image creation.
Detailed technical explanation
DALL-E 3 operates by encoding text prompts into a latent space and then using a diffusion process to iteratively denoise random noise into a coherent image, guided by the text embedding. Under the hood, it leverages a transformer-based text encoder and a diffusion decoder, allowing it to handle complex descriptions with fine-grained details like style, color, and composition. In a real-world scenario, a creative agency can use DALL-E 3 to generate multiple variations of a campaign image by tweaking the prompt, enabling rapid prototyping without manual design work.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
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
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Describe features of generative AI workloads on Azure — study guide chapter
Learn the concepts, then practise the questions
Describe features of generative AI workloads on Azure practice questions
Targeted practice on this topic area only
All AI-900 questions
1,020 questions across all exam domains
Microsoft Azure AI Fundamentals AI-900 study guide
Full concept coverage aligned to exam objectives
AI-900 practice test guide
How to use practice tests most effectively before exam day
Related practice questions
Use these pages to review the topic behind this question. This is how one missed question becomes focused revision.
Practise AI-900 questions linked to Describe Artificial Intelligence workloads and considerations.
Practise AI-900 questions linked to Describe fundamental principles of machine learning on Azure.
Practise AI-900 questions linked to Describe features of computer vision workloads on Azure.
Practise AI-900 questions linked to Describe features of Natural Language Processing workloads on Azure.
Practise AI-900 questions linked to Describe features of generative AI workloads on Azure.
Practise AI-900 questions linked to AI-900 fundamentals.
Practise AI-900 questions linked to AI-900 scenario.
Practise AI-900 questions linked to AI-900 troubleshooting.
Practice this exam
Short sessions build daily habit. Longer sessions build exam-day stamina. Try a timed session to simulate real conditions.
FAQ
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..
The correct answer is: DALL-E 3 — DALL-E 3 is the correct choice because it is the Azure OpenAI model specifically designed for generating images from natural language text descriptions. It uses a diffusion-based architecture to create high-quality, unique visuals that align with the provided prompts, making it ideal for creative social media campaigns.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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 →
Last reviewed: Jun 11, 2026
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.