You use the Azure Machine Learning SDK to run a training experiment that trains a classification model and calculates its accuracy metric.The model will be retrained each month as new data is available.You must register the model for use in a batch inference pipeline.You need to register the model and ensure that the models created by subsequent retraining experiments are registered only if their accuracy is higher than the currently registered model.What are two possible ways to achieve this goal? Each correct answer presents a complete solution.NOTE: Each correct selection is worth one point.
You manage an Azure Machine Learning workspace.You must log multiple metrics by using MLflow.You need to maximize logging performance.What are two possible ways to achieve this goal? Each correct answer presents a complete solution.NOTE: Each correct selection is worth one point.
You use Azure Machine Learning studio to analyze an mltable data asset containing a decimal column named column1. You need to verify that the column1 values are normally distributed.Which statistic should you use?
You train a machine learning model.You must deploy the model as a real-time inference service for testing. The service requires low CPU utilization and less than 48 MB of RAM. The compute target for the deployed service must initialize automatically while minimizing cost and administrative overhead.Which compute target should you use?
You are developing a machine learning model.You must inference the machine learning model for testing.You need to use a minimal cost compute targetWhich two compute targets should you use? Each correct answer presents a complete solution.NOTE: Each correct selection is worth one point