MLOps Assessment

Online assessment to evaluate advanced machine learning operations and automation skills

This assessment helps organizations evaluate candidates experienced in managing scalable, reliable ML infrastructure. It focuses on advanced-level topics such as CI/CD orchestration, data and model versioning, lineage tracking, drift monitoring, and automated rollback strategies. The test also covers governance, registry management, and performance optimization for inference workloads. Designed for MLOps engineers and ML infrastructure leads, this assessment identifies professionals capable of ensuring continuous, reproducible ML delivery. Detailed reports and instant scoring support efficient talent selection.

Sample Question

You lead an MLOps team at a multinational retailer where multiple models are retrained weekly using automated pipelines. Suddenly, production inference accuracy drops sharply even though the model passed all validation tests. Investigation reveals that data drift monitoring was turned off for performance reasons. Compliance officers demand a report explaining how to restore stability and accountability. What should you prioritize first to ensure consistent model performance across retrains?