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NEW QUESTION: 1
You are developing an application that uses several objects. The application includes the following code segment. (Line numbers are included for reference only.)
You need to evaluate whether an object is null.
Which code segment should you insert at line 03?
A. Option D
B. Option B
C. Option A
D. Option C
Answer: B
Explanation:
Use the == operator to compare values and in this case also use the null literal.
NEW QUESTION: 2
What document can be used to allow IBM Domino to receive e-mail addressed to more than one SMTP domain?
A. Internet Site document
B. Global Domain document
C. Adjacent Domain document
D. Foreign SMTP Domain document
Answer: B
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
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