Question 1 of 28
A company is planning to deploy a machine learning model that predicts customer churn based on various features such as customer demographics, usage patterns, and service interactions. The model has been trained and validated successfully. The deployment strategy needs to ensure minimal downtime and allow for real-time predictions. Which deployment strategy should the company choose to achieve these goals while also considering scalability and ease of updates?
Deploy the model as a REST API service in a containerized environment using Kubernetes.
Deploy the model on a single virtual machine with a scheduled batch processing system.
Deploy the model as a serverless function that triggers on specific events.
Deploy the model directly on edge devices for immediate local predictions.

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