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NEW QUESTION: 1
An enterprise wants to absorb the uncertainty caused by fluctuating demand for a finished product by means of a buffer variable in SAP ECC. They suggest a dynamic safety stock.
What specifications are used to calculate the dynamic safety stock?
A. The static safety stock per day and the safety time
B. The average daily demand and the desired days supply
C. The average daily demand and the safety time
D. The static safety stock and a material forecast
Answer: B

NEW QUESTION: 2
非常に大規模なバッチデータ処理ジョブを1日に1回実行する必要があります。ソースデータはすべてS3に存在し、処理ジョブの出力も終了時にS3に書き込まれる必要があります。この処理ジョブとシステムのすべてのセットアップおよびティアダウンロジックをバージョン管理する必要がある場合は、どのような方法を使用する必要がありますか。
A. AWS CLI ComposerでAWS EMRジョブをモデル化します。
B. AWS OpsWorksでAWS EMRジョブをモデル化します。
C. AWS CloudFormationでAWS EMRジョブをモデル化します。
D. AWS Elastic BeanstalkでAWS EMRジョブをモデル化します。
Answer: C
Explanation:
宣言的にクラスターの構築と破棄をモデル化するには、AWS CloudFormationを使用する必要があります。
OpsWorksとElastic Beanstalkは直接EMRクラスターをモデル化することはできません。 CLIは宣言型ではなく、CLI Composerも存在しません。
http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-emr-cluster.html

NEW QUESTION: 3
展示に示されているように、Lambdaアーキテクチャに基づいた設計パターンを計画しています。

どのAzureのサービスは、あなたはF2または冷たいパスを使用する必要がありますか？ 答えるには、適切なサービスを適切なレイヤーにドラッグします。 各サービスは、1回、複数回、またはまったく使用されません。 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

Layer 2: Azure Data Lake Storage Gen2
Layer 3: Azure SQL Data Warehouse
Azure SQL Data Warehouse can be used for batch processing.
Note: Lambda architectures use batch-processing, stream-processing, and a serving layer to minimize the latency involved in querying big data.

References:
https://azure.microsoft.com/en-us/blog/lambda-architecture-using-azure-cosmosdb-faster-performance-low-tco-l
https://docs.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/batch-processing