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NEW QUESTION: 1
You are analyzing a raw dataset that requires cleaning.
You must perform transformations and manipulations by using Azure Machine Learning Studio.
You need to identify the correct modules to perform the transformations.
Which modules should you choose? To answer, drag the appropriate modules to the correct scenarios. Each module 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.

Answer:
Explanation:

Explanation

Box 1: Clean Missing Data
Box 2: SMOTE
Use the SMOTE module in Azure Machine Learning Studio to increase the number of underepresented cases in a dataset used for machine learning. SMOTE is a better way of increasing the number of rare cases than simply duplicating existing cases.
Box 3: Convert to Indicator Values
Use the Convert to Indicator Values module in Azure Machine Learning Studio. The purpose of this module is to convert columns that contain categorical values into a series of binary indicator columns that can more easily be used as features in a machine learning model.
Box 4: Remove Duplicate Rows
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/smote
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/convert-to-indicator-values

NEW QUESTION: 2
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have a Microsoft SQL server that has Data Quality Services (DQS) installed.
You need to review the completeness and the uniqueness of the data stored in the matching policy.
Solution: You profile the data.
Does this meet the goal?
A. No
B. Yes
Answer: B

NEW QUESTION: 3
Which of the following statements about advantages of area division on an OSPF network is FALSE?
A. Facilitates route summarization
B. Reduces the size of the LSDB
C. Reduces the number of route entries in an area
D. Reduces the complexity in running the SPF algorithm
Answer: C

NEW QUESTION: 4
What is the first step to take when calculating return on investment (ROI)?
A. Determine costs.
B. Report results.
C. Identify intangible benefits.
D. Collect data.
Answer: D