You use an Azure Machine Learning workspace.You must monitor cost at the endpoint and deployment level.You have a trained model that must be deployed as an online endpoint. Users must authenticate by using Microsoft Entra ID.What should you do?
You plan to build a team data science environment. Data for training models in machine learning pipelines will be over 20 GB in size.You have the following requirements:✑ Models must be built using Caffe2 or Chainer frameworks.✑ Data scientists must be able to use a data science environment to build the machine learning pipelines and train models on their personal devices in both connected and disconnected network environments.Personal devices must support updating machine learning pipelines when connected to a network.You need to select a data science environment.Which environment should you use?
HOTSPOT -You need to configure the Edit Metadata module so that the structure of the datasets match.Which configuration options should you select? To answer, select the appropriate options in the answer area.NOTE: Each correct selection is worth one point.Hot Area:
You are implementing a machine learning model to predict stock prices.The model uses a PostgreSQL database and requires GPU processing.You need to create a virtual machine that is pre-configured with the required tools.What should you do?
DRAG DROP -You need to define a modeling strategy for ad response.Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.Select and Place:
You need to implement a scaling strategy for the local penalty detection data.Which normalization type should you use?
