DP-100 Exam Dumps | You plan to build a team data science environment. Data for training models in machine learning pipelines

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Designing and Implementing a Data Science Solution on Azure
Microsoft.DP-100.v2022-04-26.q162
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Question 159/162

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?

A. Azure Machine Learning Service

B. Azure Machine Learning Studio

C. Azure Databricks

D. Azure Kubernetes Service (AKS)

Correct Answer: A

The Data Science Virtual Machine (DSVM) is a customized VM image on Microsoft's Azure cloud built specifically for doing data science. Caffe2 and Chainer are supported by DSVM.
DSVM integrates with Azure Machine Learning.
Incorrect Answers:
B: Use Machine Learning Studio when you want to experiment with machine learning models quickly and easily, and the built-in machine learning algorithms are sufficient for your solutions.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/data-science-virtual-machine/overview

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