70-774 Perform Cloud Data Science with Azure Machine Learning Exam Guide

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70-774 Perform Cloud Data Science with Azure Machine Learning New Data Science 70-774 Practice Test 2017

 

You have a dataset that contains a column named Column1. Column1 is empty.You need to omit Column1 from the dataset. The solution must use a native module. Which module should you use?

A. Clip Values 
B. Edit Metadata 
C. Import Data 
D. Normalize Data 
E. Execute Python Script 
F. Select columns in dataset 
G. Tune Model Hyperparamters 
H. Clean Missing data 
Answer: F

You need to remove rows that have an empty value in a specific column. The solution must use a native module. Which module should you use? 
A. Execute Python Script 
B. Tune Model Hyperparameters 
C. Normalize Data 
D. Select Columns in Dataset 
E. Import Data 
F. Edit Metadata 
G. Clip Values 
H. Clean Missing Data 
Answer: H

You have the following three training datasets for a restaurant: 
* User Feature 
* Item feature 
* Ratings of items by users 
You must recommend restaurants to a particular user based only on the users features. 
You need to use a Matchbox Recommender to make recommendations. 
How many input parameters should you specify? 
A. 1 
B. 2 
C. 3 
D. 4 
Answer: D

You are building an Azure Machine Learning workflow by using Azure Machine Learning Studio.You create an Azure notebook that supports the Microsoft Cognitive Toolkit.You need to ensure that the stochastic gradient descent (SGO) configuration maximizes the samples per second and supports parallel modeling that is managed by a parameter server. Which SGD algorithm should you use? 
A. DataParallelASGD 
B. DataParallelSGD 
C. ModelAveragingSGD 
D. BlockMomentumSGD 
Answer: B

You need to use only one percent of an Apache hive Data table by conducting random sampling by groups.Which module should you use? 
A. Normalize Data 
B. Tune Model Hyperparameters. 
C. Edit Metadata 
D. Clip Values 
E. Clean Missing Data 
F. Import Data 
G. Select Columns in Dataset 
H. Execute Python Script 
Answer: H

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