ExamGecko
Question list
Search
Search

List of questions

Search

Related questions











Question 58 - DP-100 discussion

Report
Export

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
Answers
A.
Azure Machine Learning Service
B.
Azure Machine Learning Studio
Answers
B.
Azure Machine Learning Studio
C.
Azure Databricks
Answers
C.
Azure Databricks
D.
Azure Kubernetes Service (AKS)
Answers
D.
Azure Kubernetes Service (AKS)
Suggested answer: A

Explanation:

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.

Reference: https://docs.microsoft.com/en-us/azure/machine-learning/data-science-virtual-machine/overview

asked 02/10/2024
Thomas Drilling
43 questions
User
Your answer:
0 comments
Sorted by

Leave a comment first