ML in the Enterprise

1. What is the primary purpose of ML.NET?

It is an Azure service for batch processing. It is Microsoft's ML framework for .NET applications. It is a tool for hyperparameter tuning only. It is used for GPU-based model training.

2. When should you prefer Azure Machine Learning over ML.NET?

When deploying a model in a .NET application. When you need team-scale MLOps and GPU training. When using AutoML tooling in Visual Studio. When only needing to run models locally.

3. What best describes batch scoring?

Real-time scoring of requests with low latency. Scoring large datasets on a scheduled basis. Intermittent model evaluations based on user feedback. Continuous scoring of user actions.

4. What trigger suggests a need to retrain a model?

Regularly scheduled model deployments. Monitoring indicating drift in input distributions. Model accuracy remaining high for an extended period. Manual adjustments made by the operations team.

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