MLOps Pipelines Model Deployment Strategies Batch Deployment - Description : Run model on fixed schedule on accumulated data - Use Cases : Credit scoring, churn prediction, recommendations - Advantages : Simple, cost-effective, handles large volumes - Challenges : Latency, stale predictions - Tools : Apache Airflow, dbt, cron jobs, cloud batch services Real-time Deployment - Description : Serve model as API for immediate predictions - Use Cases : Fraud detection, dynamic pricing, personalization - Advantages : Low latency, fresh predictions - Challenges : Scalability, infrastructure complexit…