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NEW QUESTION: 1
Related to information security, availability is the opposite of which of the following?
A. documentation
B. distribution
C. delegation
D. destruction
Answer: D
Explanation:
Availability is the opposite of "destruction."
Source: KRUTZ, Ronald L. & VINES, Russel D., The CISSP Prep Guide: Mastering the
Ten Domains of Computer Security, 2001, John Wiley & Sons, Page 59.

NEW QUESTION: 2

A. Option E
B. Option A
C. Option H
D. Option D
E. Option B
F. Option L
G. Option C
H. Option G
I. Option K
J. Option F
K. Option J
L. Option I
Answer: H
Explanation:
Explanation
Host Priorities
Each cluster host is assigned a unique host priority in the range of 1 to 32, where lower numbers denote higher priorities. The host with the highest host priority (lowest numeric value) is called the default host. It handles all client traffic for the virtual IP addresses that is not specifically intended to be load-balanced. This ensures that server applications not configured for load balancing only receive client traffic on a single host. If the default host fails, the host with the next highest priority takes over as default host.
Reference: Network Load Balancing Technical Overview
http://technet.microsoft.com/en-us/library/bb742455.aspx

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