Microsoft AI-100 Designing and Implementing an Azure AI Solution 13 31Oct2024 - Practice Quiz

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A retail company is implementing a real-time recommendation system to enhance customer engagement on their e-commerce platform. They want to utilize Azure Machine Learning to analyze user behavior and provide personalized product suggestions. The system needs to process user interactions, such as clicks and purchases, in real-time to update recommendations dynamically. Which approach would best facilitate the development of this real-time recommendation system while ensuring scalability and responsiveness?

Utilize Azure Stream Analytics to process real-time data streams and integrate with Azure Machine Learning for model inference.

Implement a batch processing system using Azure Data Factory to periodically update the recommendation model based on historical data.

Use Azure Functions to trigger model updates based on scheduled intervals rather than real-time user interactions.

Deploy a static recommendation model that does not adapt to user behavior changes over time.

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