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NEW QUESTION: 1
What type of component is a mapping table introducer?
A. Function
B. Operator
C. Splitter
D. Comparator
Answer: D
NEW QUESTION: 2
An email and direct mail is sent with the below recipient as the target. Their blacklist is shown below.
Which recipients receive deliveries and by which channel?
A. Email: D; Direct Mail: C,D
B. Email: A,C; Direct Mail: <none>
C. Email: B,D; Direct Mail: A,B,C,D
D. Email: A,B,C; Direct Mail: A,B
Answer: C
NEW QUESTION: 3
AccessibilityToHighway列の欠落データを置き換える必要があります。
Clean Missing Dataモジュールをどのように構成する必要がありますか？回答するには、回答エリアで適切なオプションを選択します。
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: 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