MLOps AI Engineer Interview Preparation Guide
MLOps AI Engineer Interview Preparation Guide Table of Contents General MLOps Concepts AWS MLOps Azure MLOps Kubeflow Docker & Containerization CI/CD for ML Model Monitoring & Governance Infrastructure as Code General MLOps Concepts Q1: What is MLOps and why is it important? Answer: MLOps (Machine Learning Operations) is a practice that combines ML, DevOps, and data engineering to deploy and maintain ML systems in production reliably and efficiently. It's important because: Reproducibility : Ensures consistent model training and deployment Scalability : Handles growing data and model complexity Reliability : Maintains model performance in production Collaboration : Bridges gap between data scientists and operations teams Compliance : Ensures governance and auditability Speed : Accelerates model deployment and iteration cycles Q2: Explain the ML lifecycle and where MLOps fits in. Answer: The ML lifecycle includes: Data Collection & Preparati...