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      Question

      What is

      'MLOps'?
      A A machine learning algorithm for operations research optimization problems Correct Answer Incorrect Answer
      B A database management system optimized for storing ML training datasets Correct Answer Incorrect Answer
      C A cybersecurity framework specifically for protecting machine learning models Correct Answer Incorrect Answer
      D A set of practices combining ML development and IT operations Correct Answer Incorrect Answer
      E A Python library for building neural networks in production environments Correct Answer Incorrect Answer

      Solution

      MLOps addresses the gap between ML model development (data science team) and production deployment/maintenance (operations team). The key components are version control for data and models (MLflow, DVC), automated training pipelines (Kubeflow, SageMaker), model deployment (REST APIs, batch inference), model monitoring (drift detection, performance degradation), and automated retraining triggers. In banking, a fraud detection model must be continuously monitored. Fraud patterns evolve rapidly, and models need retraining as new attack patterns emerge.

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