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NEW QUESTION: 1
パフォーマンスを向上させるために、OS監視には以下を除くすべてを含める必要があります。
A. 印刷スプール
B. CPU使用率
C. ディスク容量
D. ディスクI / O使用量
Answer: A
Explanation:
説明
印刷スプールは、システムパフォーマンスの測定基準ではありません。残りはすべてです。

NEW QUESTION: 2
DRAG DROP


Answer:
Explanation:

NEW QUESTION: 3



A. Option C
B. Option D
C. Option A
D. Option B
Answer: C
Explanation:
A.

NEW QUESTION: 4
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