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NEW QUESTION: 1

A. Option D
B. Option C
C. Option B
D. Option A
Answer: C
Explanation:
Explanation
AWS CloudWatch supports the custom metrics. The user can always capture the custom data and upload the data to CloudWatch using CLI or APIs. The user has to always include the namespace as a part of the request.
However, the other parameters are optional. If the user has uploaded data using CLI, he can view it as a graph inside the console. The data will take around 2 minutes to upload but can be viewed only after around 15 minutes.

NEW QUESTION: 2

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

NEW QUESTION: 3
Given:

What is the result?
A. It fails to compile.
B. 0
C. A java.lang.IllegalArgumentException is thrown.
D. nothing
E. 1
Answer: A
Explanation:


NEW QUESTION: 4
注:この質問は、同じシナリオを提示する一連の質問の一部です。シリーズの各質問には、記載された目標を達成する可能性のある独自のソリューションが含まれています。一部の質問セットには複数の正しい解決策がある場合もあれば、正しい解決策がない場合もあります。
このセクションの質問に回答すると、その質問に戻ることはできません。その結果、これらの質問はレビュー画面に表示されません。
あなたはAzure Machine Learning Studioを使用しているデータサイエンティストです。
ターゲット列を予測するには、値を正規化して出力列をビンに生成する必要があります。
解決策:ビニングモードをカスタムの開始および停止モードで等幅に適用します。
ソリューションは目標を達成していますか?
A. いいえ
B. はい
Answer: A
Explanation:
説明
Use the Entropy MDL binning mode which has a target column.
参照:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/group-data-into-bins