Multi-dimensional competency assessment for the MLOps Engineer role — Cognitive Aptitude (numerical & logical reasoning), Role Knowledge, Situational Judgement and a hands-on auto-graded Coding round. Proctored; produces a competency profile, not a single MCQ score. Skills assessed: Docker, Kubernetes, CI/CD pipeline development, TensorFlow Serving, MLflow, cloud platforms (AWS/GCP/Azure) for ML deployment, monitoring/logging ML models, infrastructure-as-code (Terraform).
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