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DP-100 Questions Bank

Page: 8 / 16
Total 476 questions

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

Question 29

You use Azure Machine Learning Studio to build a machine learning experiment.

You need to divide data into two distinct datasets.

Which module should you use?

Options:

A.

Split Data

B.

Load Trained Model

C.

Assign Data to Clusters

D.

Group Data into Bins

Question 30

You create a classification model with a dataset that contains 100 samples with Class A and 10,000 samples with Class B

The variation of Class B is very high.

You need to resolve imbalances.

Which method should you use?

Options:

A.

Partition and Sample

B.

Cluster Centroids

C.

Tomek links

D.

Synthetic Minority Oversampling Technique (SMOTE)

Question 31

You use Azure Machine Learning to train a machine learning model.

You use the following training script in Python to perform logging:

You must use a Python script to define a sweep job.

You need to provide the primary metric and goal you want hyperparameter tuning to optimize.

NOTE: Each correct selection is worth one point.

Options:

Question 32

You are solving a classification task.

You must evaluate your model on a limited data sample by using k-fold cross validation. You start by

configuring a k parameter as the number of splits.

You need to configure the k parameter for the cross-validation.

Which value should you use?

Options:

A.

k=0.5

B.

k=0

C.

k=5

D.

k=1

Page: 8 / 16
Total 476 questions