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Microsoft DP-100 Designing and Implementing a Data Science Solution on Azure
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QUESTION 1
You are building an intelligent solution using machine learning models.
The environment must support the following requirements:
Data scientists must build notebooks in a cloud environment
Data scientists must use automatic feature engineering and model building in machine learning pipelines. Notebooks
must be deployed to retrain using Spark instances with dynamic worker allocation. Notebooks must be exportable to be
version controlled locally.
You need to create the environment.
Which four 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:
Correct Answer:
Step 1: Create an Azure HDInsight cluster to include the Apache Spark Mlib library
Step 2: Install Microsot Machine Learning for Apache Spark
You install AzureML on your Azure HDInsight cluster.
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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.
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:
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.
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,
