Match the Al workload to the appropriate task.

This question tests your understanding of AI workloads as described in the Microsoft Azure AI Fundamentals (AI-900) study guide. Each Azure AI workload is designed to handle specific types of data and tasks: text, images, documents, or content generation.

Extract data from medical admission forms for import into a patient tracking database → Azure AI Document IntelligenceFormerly known as Form Recognizer, this service belongs to the Azure AI Document Intelligence workload. It extracts key-value pairs, tables, and textual information from structured and semi-structured documents such as forms, invoices, and admission sheets. For medical forms, Document Intelligence can identify fields like patient name, admission date, and diagnosis and export them into structured formats for database import.

Automatically create drafts for a monthly newsletter → Generative AIThis task involves creating original written content, which is a capability of Generative AI. Microsoft’s Azure OpenAI Service uses large language models (like GPT-4) to generate human-like text, summaries, or articles. Generative AI workloads are ideal for automating creative writing, drafting newsletters, producing blogs, or summarizing reports.

Analyze aerial photos to identify flooded areas → Computer VisionComputer Vision workloads involve analyzing and interpreting visual data from images or videos. This includes detecting objects, classifying scenes, and identifying patterns such as flooded regions in aerial imagery. Azure’s Computer Vision or Custom Vision services can be trained to detect water coverage or terrain changes using image recognition techniques.

Thus, the correct matches are:

Azure AI Document Intelligence → Extract medical form data

Generative AI → Create newsletter drafts

Computer Vision → Identify flooded areas from aerial photos