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NEW QUESTION: 1
組織は、カスタムマップ削減アプリケーションを使用して、Amazon S3バケット内の多数の小さなデータファイルに基づいて月次レポートを作成します。データは、頻繁ではあるが予測できないスケジュールでさまざまなビジネスユニットから送信されます。データセットが成長し続けると、1日ですべてのデータを処理することがますます困難になります。組織はAmazon EMRクラスターをスケールアップしましたが、他の最適化によりパフォーマンスが向上する可能性があります。
組織は、既存のプロセスとアプリケーションに対するパフォーマンスの最小限の変更を改善する必要があります。
組織はどのような行動を取るべきですか？
A. Amazon EMRクラスターにSparkを追加し、メモリ内のResilient Distributed Datasetsを利用します。
B. Amazon S3イベント通知とAWS Lambdaを使用して、各ファイルをAmazon Elasticsearch Serviceクラスターにインデックス付けします。
C. Amazon S3イベント通知とAWS Lambdaを使用して、DynamoDBでクイック検索ファイルインデックスを作成します。
D. Amazon Kinesis Firehoseを介してビジネスユニットにデータを送信させ、Amazon S3に1時間ごとにデータを集約します。
E. S3DistCpを使用してコンテンツをより大きなファイルに集約する毎日のAWS Data Pipelineプロセスをスケジュールします。
Answer: E
Explanation:
説明
https://aws.amazon.com/blogs/big-data/seven-tips-for-using-s3distcp-on-amazon-emr-to-move-data-efficiently-b
NEW QUESTION: 2
A. Option C
B. Option B
C. Option E
D. Option D
E. Option A
Answer: E
NEW QUESTION: 3
The term "expected value" is closest to the term:
A. mean
B. probabilistic model
C. regressive value
D. Markov value
E. median
Answer: A