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NEW QUESTION: 1
Der Systemadministrator hat einer Standardschicht eine IP-Adresse und ein Standardgateway zugewiesen
2 Schalter. Welcher der folgenden Gründe wäre der Hauptzweck?
A. VLAN-Routing zulassen
B. Aktivieren Sie die MAC-Filterung auf dem Switch
C. Ermöglicht die Remoteverwaltung des Switches
D. Aktivieren Sie die Paketfilterung auf dem Switch
Answer: C

NEW QUESTION: 2
What is a business challenge that IBM Case Manager can NOT solve?
A. It addresses auditability and regulatory requirements
B. It enables organizations to extract more value out of their information
C. It enables organizations to recruit talented knowledge workers
D. It enables case workers to make better and faster decisions on cases
Answer: C

NEW QUESTION: 3
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 are analyzing a numerical dataset which contains missing values in several columns.
You must clean the missing values using an appropriate operation without affecting the dimensionality of the feature set.
You need to analyze a full dataset to include all values.
Solution: Replace each missing value using the Multiple Imputation by Chained Equations (MICE) method.
Does the solution meet the goal?
A. Yes
B. NO
Answer: A
Explanation:
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.
Note: Multivariate imputation by chained equations (MICE), sometimes called "fully conditional specification" or "sequential regression multiple imputation" has emerged in the statistical literature as one principled method of addressing missing data. Creating multiple imputations, as opposed to single imputations, accounts for the statistical uncertainty in the imputations. In addition, the chained equations approach is very flexible and can handle variables of varying types (e.g., continuous or binary) as well as complexities such as bounds or survey skip patterns.
References:
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3074241/
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/clean-missing-data

NEW QUESTION: 4
A network administrator identifies sensitive files being transferred from a workstation in the LAN to an unauthorized outside IP address in a foreign country. An investigation determines that the firewall has not been altered, and antivirus is up-to-date on the workstation. Which of the following is the MOST likely reason for the incident?
A. MAC Spoofing
B. Session Hijacking
C. Zero-day
D. Impersonation
Answer: C