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Last Attempt DP-100 Questions

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Total 476 questions

Designing and Implementing a Data Science Solution on Azure Questions and Answers

Question 13

You need to replace the missing data in the AccessibilityToHighway columns.

How should you configure the Clean Missing Data module? To answer, select the appropriate options in the answer area.

NOTE: Each correct selection is worth one point.

Options:

Question 14

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?

Options:

A.

Azure Machine Learning Service

B.

Azure Machine Learning Studio

C.

Azure Databricks

D.

Azure Kubernetes Service (AKS)

Question 15

You create a workspace to include a compute instance by using Azure Machine Learning Studio. You are developing a Python SDK v2 notebook in the workspace. You need to use Intellisense in the notebook. What should you do?

Options:

A.

Start the compute instance.

B.

Run a %pip magic function on the compute instance.

C.

Run a !pip magic function on the compute instance.

D.

Stop the compute instance.

Question 16

You are a data scientist creating a linear regression model.

You need to determine how closely the data fits the regression line.

Which metric should you review?

Options:

A.

Coefficient of determination

B.

Recall

C.

Precision

D.

Mean absolute error

E.

Root Mean Square Error

Page: 4 / 16
Total 476 questions