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NEW QUESTION: 1

A. Resource Affinity
B. Organization vDC
C. VASA Service Class
D. Service Catalog
Answer: B
Explanation:
Reference:http://www.vmware.com/files/pdf/VMware-Architecting-vCloud-WP.pdf

NEW QUESTION: 2
会社は、Amazon EC2インスタンスでApache Hadoopクラスターを実行しています。 Hadoopクラスターは、毎週の運用レポート用に約100 TBのデータを格納し、データサイエンティストがデータを取得するために時々アクセスできるようにします。同社は、このデータを強力に提供するために、コストと運用の複雑さを軽減する必要があります。
最も費用対効果の高い方法でこれらの要件を満たすソリューションはどれですか?
A. データをAmazon S3に移動し、Amazon Athenaを使用してレポートのデータをクエリします。データサイエンティストがAmazon S3のデータに直接アクセスできるようにします。
B. スクリプトを作成すると、ダウンタイム中にEC2インスタンスのサイズが小さいインスタンスタイプに変更され、インスタンスが大きいインスタンスタイプにサイズ変更されて、レポートが作成されます。
C. HadoopクラスターをEC2インスタンスからAmazon EMRに移動します。データアクセスパターンが同じままであることを許可します。
D. Amazon DynamoDBのデータを移行し、レポートを変更してDynamoDBからデータをフェッチします。データサイエンティストがDynamoDBのデータに直接アクセスできるようにします。
Answer: C

NEW QUESTION: 3
You have a feature set containing the following numerical features: X, Y, and Z.
The Poisson correlation coefficient (r-value) of X, Y, and Z features is shown in the following image:

Use the drop-down menus to select the answer choice that answers each question based on the information presented in the graphic.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation:
Box 1: 0.859122
Box 2: a positively linear relationship
+1 indicates a strong positive linear relationship
-1 indicates a strong negative linear correlation
0 denotes no linear relationship between the two variables.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/compute-linear-correlation


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