Challenge your understanding of MLOps with this quiz designed to cover the full lifecycle of machine learning operations. Topics include model training and deployment pipelines, CI/CD for ML, experiment tracking, data versioning, model registry, monitoring, drift detection, and automation workflows. Ideal for data engineers, ML practitioners, and DevOps professionals aiming to bridge the gap between machine learning and production-grade systems.
Sharpen your foundational knowledge of Continuous Integration and Continuous Deployment in ML workflows! This beginner-friendly quiz explores the unique CI/CD challenges in ML, covering key topics like automated testing of data pipelines, model versioning, deployment strategies (A/B testing, shadow deployment), reproducibility, data drift detection, and tools like MLflow, GitHub Actions, and Docker. A perfect entry point for aspiring MLOps engineers and ML developers.
Explore the foundational principles of designing machine learning systems with this beginner-friendly quiz! Cover key concepts such as data pipeline design, feature store usage, offline vs online inference, model monitoring, versioning strategies, scalability, retraining workflows, and deployment patterns. A great starting point for aspiring ML engineers, data scientists, and product-minded developers aiming to understand the big picture of end-to-end ML system architecture.