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NEW QUESTION: 1

A. Option C
B. Option E
C. Option D
D. Option B
E. Option A
Answer: A
Explanation:
Explanation
Create one computer group for Main site and another group for Branch site. You can deploy Windows updates by computer group.

NEW QUESTION: 2
DRAG DROP
You need to analyze the bandwidth impact of different video call flows at the Beijing office.
Which codec will apply to which call flow? (To answer, drag the appropriate codec or codecs to the correct call scenario or scenarios in the answer area. Each codec may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.)

Answer:
Explanation:

NEW QUESTION: 3
次の設定を持つアラートルールを作成します。
* Resource: RG1
* Condition: All Administrative operations
* Actions: Action groups configured for this alert rule: ActionGroup1
* Alert rule name: Alert1
You create an action rule that has the following settings:
* Scope: VM1
* Filter criteria: Resource Type = "Virtual Machines"
* Define on this scope: Suppression
* Suppression config: From now (always)
* Name: ActionRule1
以下の各ステートメントについて、ステートメントが真である場合は「はい」を選択します。それ以外の場合は、「いいえ」を選択します。
注：それぞれの正しい選択には1ポイントの価値があります。

Answer:
Explanation:

Explanation:
Box 1:
The scope for the action rule is set to VM1 and is set to suppress alerts indefinitely.
Box 2:
The scope for the action rule is not set to VM2.
Box 3:
Adding a tag is not an administrative operation.
References:
https://docs.microsoft.com/en-us/azure/azure-monitor/platform/alerts-activity-log
https://docs.microsoft.com/en-us/azure/azure-monitor/platform/alerts-action-rules

NEW QUESTION: 4
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. No
B. Yes
Answer: B
Explanation:
Explanation/Reference:
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