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NEW QUESTION: 1
A customer is running a Java workload in a z/OS in LPAR on a z13.
Which speciality processor can help reduce the GCP consumption of this LPAR?
A. ICF
B. zIIP
C. IFL
D. zAAP
Answer: B

NEW QUESTION: 2

A. Search charm
B. HyperTerminal
C. PowerShell
D. Action Center
E. DOS
Answer: C

NEW QUESTION: 3
A business has a virtualized environment which relies on specific file types, formats, and vendor supported tools. The business is MOST likely using which of the following?
A. Type II
B. Proprietary
C. Type I
D. Open source
Answer: B

NEW QUESTION: 4
スコアの更新をバックエンドプロセッサにストリーミングし、結果をリーダーボードに投稿するモバイルゲームを開発しています。ソリューションアーキテクトは、大きなトラフィックの急増に対応し、モバイルゲームの更新を受信順に処理し、処理された更新を高可用性データベースに格納できるソリューションを設計する必要があります。また、ソリューションを維持するために必要な管理オーバーヘッドを最小限に抑えたいと考えています。
これらの要件を満たすためにソリューションアーキテクトは何をすべきですか？
A. Amazon Kinesis Data Streamsにスコアの更新をプッシュします。 Auto Scaling用にセットアップされた一連のAmazon EC2インスタンスで更新を処理します。処理された更新をAmazon Redshiflに保存します。
B. スコア更新をAmazon Simple Queue Service（Amazon SOS）キューにプッシュします。 Auto Scalingで一連のAmazon EC2インスタンスを使用して、SQSキュー内の更新を処理します。処理された更新をAmazon RDSマルチAZ DBインスタンスに保存します。
C. Amazon Simple Notification Service（Amazon SNS）トピックへのスコア更新のプッシュ。 AWS Lambda関数をSNSトピックにサブスクライブして、更新を処理します。処理された更新をAmazon EC2で実行されているSOLデータベースに保存します。
D. Amazon Kinesis Data Streamsにスコア更新をプッシュします。 AWS Lambdaを使用してKinesis Data Streamsの更新を処理します。処理された更新をAmazon DynamoDBに保存します。
Answer: B