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NEW QUESTION: 1
What kind of workload is MapReduce designed to handle?
A. computational
B. real time
C. batch processing
D. interactive
E. commodity
Answer: C
Explanation:
Hadoop was designed for batch processing. That means, take a large dataset in input all at once, process it, and write a large output. The very concept of MapReduce is geared towards batch and not real-time. With growing data, Hadoop enables you to horizontally scale your cluster by adding commodity nodes and thus keep up with query. In hadoop
Map-reduce does the same job it will take large amount of data and process it in batch. It will not give immediate output. It will take time as per Configuration of system,namenode,task-tracker,job-tracker etc.
References: https://www.quora.com/What-is-batch-processing-in-hadoop

NEW QUESTION: 2
新しいAzureサブスクリプションのネットワーク接続戦略を設計しています。次の要件を特定します。
*Subnet1という名前のサブネット上のAzure仮想マシンには、ロンドンオフィスのコンピューターからのみアクセスできる必要があります。
*エンジニアは、特定のTCP / IP管理ポートでインターネット経由でSubnet2というサブネット上のAzure仮想マシンにアクセスする必要があります。
*西ヨーロッパのAzureリージョンのAzure仮想マシンは、すべてのポートで北ヨーロッパのAzureリージョンのAzure仮想マシンと通信できる必要があります。
要件を満たすために使用する必要があるコンポーネントを推奨する必要があります。ソリューションは、可能な限りコストと管理作業を最小限に抑える必要があります。
推奨事項に何を含めるべきですか？答えるには、適切なコンポーネントを正しい要件にドラッグします。各コンポーネントは、1回以上使用することも、まったく使用しないこともできます。コンテンツを表示するには、ペイン間で分割バーをドラッグするか、スクロールする必要がある場合があります。
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

NEW QUESTION: 3
ソリューション設計者が、サブスクライブするMQアプリケーションがトピックからメッセージを受信することを保証したい場合でも
サブスクライブしているMQアプリケーションがメッセージの時点でキューマネージャーから切断されている場合
公開、どのアクションが必要ですか？
A. 発行アプリケーションは、メッセージを永続として設定する必要があります。
B. サブスクライブするアプリケーションは、メッセージを永続として設定する必要があります。
C. サブスクライブするアプリケーションは、サブスクリプションを永続として設定する必要があります。
D. 発行アプリケーションは、サブスクリプションを永続として設定する必要があります。
Answer: C