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NEW QUESTION: 1

A. Option C
B. Option E
C. Option A
D. Option D
E. Option B
Answer: A,E

NEW QUESTION: 2
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

NEW QUESTION: 3
You have an IP Address Management (IPAM) server named IPAM1 that runs Window Server 2016. IPAM1 manages all of the DHCP servers on your network.
You are troubleshooting an issue for a client that fails to receive an IP address from DHCP.
You need to ensure that from IPAM1, you can view all of the event data for the DHCP leases from the last 24 hours.
Solution: From Windows PowerShell, you run the Invoke-IpamServerProvisioning cmdlet.
Does this meet the goal?
A. Yes
B. No
Answer: B
Explanation:
References: https://docs.microsoft.com/en-us/powershell/module/ipamserver/invoke- ipamserverprovisioning?view=win10-ps