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NEW QUESTION: 1
通信会社は、顧客の解約を予測する必要があります（つまり、顧客がコンピューターを切り替えることを決定します）。同社には、毎月の消費パターン、顧客サービスへの電話、顧客が最終的にサービスを終了したかどうかなど、各顧客の履歴記録があります。このデータはすべてAmazon S3に保存されます。会社は、忠誠心を取り戻すために、どの顧客がすぐに解約する可能性があるかを知る必要があります。
これらの要件を満たす最適なアプローチは何ですか？
A. Amazon Machine Learningサービスを使用して、Amazon S3に保存されているデータセットに基づいてバイナリ分類モデルを構築します。モデルは、既存の顧客の解約属性を予測するために定期的に使用されます
B. EMRを使用してHiveクエリを実行し、顧客のプロファイルを作成します。プロファイルを既存の顧客に適用して、解約の可能性を判断する
C. Redshiftクラスターを使用して、Amazon S3からデータをコピーします。解約の可能性をコンピューター化するユーザー定義関数をRedshiftで作成する
D. AWS QuickSightを使用してAmazon S3に保存されたデータに接続し、必要なビジネス洞察を取得します。解約傾向グラフをプロットして、既存の顧客の解約可能性を推定します
Answer: A
Explanation:
説明
https://aws.amazon.com/blogs/machine-learning/predicting-customer-churn-with-amazon-machine-learning/

NEW QUESTION: 2
Triple bottom line (TBL) refers to balancing the following impacts:
A. environmental, ecological, and ethical.
B. social, environmental, and regulatory.
C. economic, social, and environmental.
D. financial, economic, and social.
Answer: C

NEW QUESTION: 3
Which type of ACI switch provides Layer 3 connections to outside networks?
A. leaf devices
B. service leaf devices
C. spine devices
D. border leaf devices
Answer: D

NEW QUESTION: 4

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