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NEW QUESTION: 1
An application wants to utilize side effects of cascading entity manager operations to related entities.
Which statement is correct?
A. To minimize the effect of the remove operation applied to an entity participating in a many-tomany relationship the remove operation should hecascadeto entities on both sides of the relationship.
B. The persist operation applied to a new entity x is cascaded to entities referenced by x if the relationship from x to these other entities is annotated with the cascade=PERSIST or cascade=ALL annotation element value.
C. The persist operation is always cascaded to related entitles for one-to one and one-to-many relationships.
D. The remove operation applied to a removed entity x is cascaded to entities referenced by x of the relationship from x to these other entities is annotated with the cascade = REMOVE of cascade = ALL annotation element value.
Answer: B
Explanation:
Reference:http://stackoverflow.com/questions/4748426/cannot-remove-entity-which-is-target-ofonetoone-relation(answer 1)

NEW QUESTION: 2
Eine IS-Abteilung wird monatlich anhand des Kosten-Ertrags-Verhältnisses der Benutzerzufriedenheit und der Ausfallzeiten des Computers bewertet. Dies ist das BESTE als Anwendung von.
A. Balanced Scorecard
B. Wertschöpfungskettenanalyse
C. Risikorahmen
D. Kontrollselbstbewertung (CSA)
Answer: D

NEW QUESTION: 3
製造会社は、顧客サイトで稼働しているマシンからデータをキャプチャします。現在、数千台のマシンが5分ごとにデータを送信していますが、これは近い将来に数十万台に達すると予想されています。データは、必要に応じて将来分析する目的でログに記録されます。
このストリーミングデータを大規模に保存するSIMPLESTメソッドとは何ですか？
A. データをAmazon EBS Cold FIDDボリュームに保存するために、ELBの背後にAmazon EC2サーバーファームを作成します。
B. Amazon S3にデータを保存するAmazon Kinesis Firehouse配信ストリームを作成します。
C. Amazon SQSキューを作成し、マシンにキューに書き込みます。
D. ELBの背後にAmazon EC2サーバーのAuto Scalingグループを作成して、データをAmazon RDSに書き込みます。
Answer: B
Explanation:
Explanation
What Is Amazon Kinesis Data Firehose?
Amazon Kinesis Data Firehose is a fully managed service for delivering real-time streaming data to destinations such as Amazon Simple Storage Service (Amazon S3), Amazon Redshift, Amazon Elasticsearch Service (Amazon ES), and Splunk. Kinesis Data Firehose is part of the Kinesis streaming data platform, along with Kinesis Data Streams, Kinesis Video Streams, and Amazon Kinesis Data Analytics. With Kinesis Data Firehose, you don't need to write applications or manage resources. You configure your data producers to send data to Kinesis Data Firehose, and it automatically delivers the data to the destination that you specified. You can also configure Kinesis Data Firehose to transform your data before delivering it

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