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NEW QUESTION: 1
Which statement is most accurate regarding organizational performance?
A. Individual performance is unrelated to organizational performance.
B. Performance can only be accurately measured at the organizational level.
C. Performance at every level should be aligned towards achievement of organizational goals.
D. The poor performance of just one individual will disrupt the performance of the entire organization.
Answer: C

NEW QUESTION: 2
How many cache batteries does the EVA8000 contain by default?
A. 0
B. 1
C. 2
D. 3
Answer: D

NEW QUESTION: 3
What happens when a new CIFS share is created using Unisphere and all available CIFS server check boxes remain unchecked?
A. A global share is created and served by all CIFS servers residing on the Data Mover.
B. None of the CIFS servers residing on the Data Mover serve the newly created share.
C. The VNX system prompts for selection of at least one CIFS server.
D. A global share is created and served by the primary VDM.
Answer: A

NEW QUESTION: 4
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