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Discuss the challenges of deploying AutoML models in a production environment. Explain how AutoML tools address these challenges and ensure seamless integration with existing systems. Provide examples of deployment strategies used in AutoML.
A
Containerization, model serving APIs, and continuous integration/continuous deployment (CI/CD) pipelines.
B
Model serialization, data streaming, and real-time analytics.
C
Batch processing, event-driven architectures, and microservices.
D
Data warehousing, ETL processes, and business intelligence tools.
