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NEW QUESTION: 1
DRAG DROP
You have an Exchange Server 2013 organization that contains a database available group (DAG) named DAG1. DAG1 contains three Mailbox servers named Server1, Server2, and Server3. DAG1 contains a mailbox database copy named DB1.
You implement a lagged copy of DB1 on Server3. The copy lag time is seven days.
You need to ensure that copies of successfully processed email messages are stored on Server1 and Server2 for seven days.
What should you modify?
A. The Shadow Redundancy settings
B. The settings of DAG1
C. The settings of DB1
D. The Safety Net settings
Answer: D
NEW QUESTION: 2
VDSL2 on a pair of twisted pair provides vertically symmetrical/asymmetrical transmission rate, transmission distance of about 3km, the maximum descending rate of 52M (symmetric rates), the maximum upstream rate of 12M (asymmetric rate).
A. True
B. False
Answer: B
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 contain 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: Use the last Observation Carried Forward (IOCF) method to impute the missing data points.
Does the solution meet the goal?
A. No
B. Yes
Answer: A
Explanation:
Explanation
Instead use the Multiple Imputation by Chained Equations (MICE) method.
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: Last observation carried forward (LOCF) is a method of imputing missing data in longitudinal studies. If a person drops out of a study before it ends, then his or her last observed score on the dependent variable is used for all subsequent (i.e., missing) observation points. LOCF is used to maintain the sample size and to reduce the bias caused by the attrition of participants in a study.
References:
https://methods.sagepub.com/reference/encyc-of-research-design/n211.xml
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3074241/