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NEW QUESTION: 1
Which role must be associated with an IBM SmartCloud user account to allow that user to import existing mail files in preparation for user provisioning?
A. Admin Assistant
B. Data Transfer Manager
C. User
D. Administrator
Answer: B

NEW QUESTION: 2
View Exhibit1 and examine a portion of Active Session History(ASH) report.

View Exhibit2 to examine the tablespaces.

Which action would you suggest after analyzing the output?
A. Move SPCT table to a different tablespace that is locally managed with automatic segment space management.
B. Decreasing the number of free lists in segment SPCT.
C. Increase the log buffer size.
D. Rebuild indexes on SPCT table.
Answer: A

NEW QUESTION: 3
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.

Answer:
Explanation:

Explanation

Box 1: Replace using MICE
Replace using MICE: For each missing value, this option assigns a new value, which is calculated by using a method described in the statistical literature as "Multivariate Imputation using Chained Equations" or
"Multiple Imputation by Chained Equations". With a multiple imputation method, each variable with missing data is modeled conditionally using the other variables in the data before filling in the missing values.
Scenario: The AccessibilityToHighway column in both datasets contains missing values. The missing data must be replaced with new data so that it is modeled conditionally using the other variables in the data before filling in the missing values.
Box 2: Propagate
Cols with all missing values indicate if columns of all missing values should be preserved in the output.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/clean-missing-data