Home>IT Tests>Questions>Azure Machine Learning Studio enables management of endpoints associated with model deployments, Loading datasets is done in the Azure Machine Learning Studio environment, The Designer tool is part of the Azure Machine Learning Studio environment, Azure Machine Learning Studio enables the creation and management of compute resources that are consumed by Pipelines
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Azure Machine Learning Studio enables management of endpoints associated with model deployments, Loading datasets is done in the Azure Machine Learning Studio environment, The Designer tool is part of the Azure Machine Learning Studio environment, Azure Machine Learning Studio enables the creation and management of compute resources that are consumed by Pipelines
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Which of the statements below are true?
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Remove duplicate records in Azure Data Factory1
Load data from locally stored files using Azure ML Studio's Datasets tab.0
Why does loading a Dataset with Azure ML Studio's built-in Dataset Loader containing records defined on multiple rows take longer than loading a Dataset of equivalent size but containing only records defined on rows? unique lines?0
List of data normalization methods offered by the Normalize Data module in Azure0
How to use a Dataset in a Pipeline developed using the Designer tool in Azure Ml Studio1
How many records are used by the SMOTE module algorithm to calculate new records?0
The operations associated with a Clip Values module are necessarily applied to all the variables of a Dataset.