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Which method should you use to record the rmse evaluation value from your model in an MLflow run?
rmse
mlflow.log_metric
mlflow.log_param
mlflow.spark.log_model
You've logged a model in an experiment run, and you plan to deploy it in a real-time inferencing service. What should you do?
Reproduce the experiment
Register the model
Save the model as an ONXX file in the DFFS file system.
You want to be able to use your model to continually predict labels from feature data as it is stored in a delta table. What kind of inferencing should you set up?
Real-time endpoint
Streaming
Batch
You must answer all questions before checking your work.
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