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[2020.11] New Microsoft DP-100 Dumps With VCE And PDF (Practice Questions) From Pass4itsure

Pass4itsure share these resources with you. Both VCE and PDF dumps contain the latest Microsoft DP-100 exam questions, which will ensure your DP-100 exam 100% passed! You can get DP-100 VCE dumps and DP-100 PDF dumps from Pass4itsure. Please get the latest Pass4itsure DP-100 dumps here: https://www.pass4itsure.com/dp-100.html(220 QA Dumps).

Download The Real Microsoft DP-100 PDF Here, Free

[free pdf] Microsoft DP-100 PDF [Drive] https://drive.google.com/file/d/1KQjW9IWlT8W8Qd9bqjLKYyzpP-3Zk4lU/view?usp=sharing

Microsoft DP-100 Practice Test Questions Answers

QUESTION 1
DRAG DROP
An organization uses Azure Machine Learning service and wants to expand its use of machine learning.
You have the following compute environments. The organization does not want to create another compute
environment.

exampass dp-100 exam questions-q1

You need to determine which compute environment to use for the following scenarios.
Which compute types should you use? To answer, drag the appropriate compute environments to the correct scenarios.
Each computing environment may be used once, more than once, or not at all. You may need to drag the split bar
between
panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Select and Place:

exampass dp-100 exam questions-q1-2

Box 1: nb_server Box 2: mlc_cluster With Azure Machine Learning, you can train your model on a variety of resources
or environments, collectively referred to as compute targets. A computing target can be a local machine or a cloud
resource, such as an Azure Machine Learning Compute, Azure HDInsight, or a remote virtual machine.

exampass dp-100 exam questions-q1-3

Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/concept-compute-target
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-set-up-training-targets

QUESTION 2
HOTSPOT
You are tuning a hyperparameter for an algorithm. The following table shows a data set with different hyperparameter,

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