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NEW QUESTION: 1
次の処理要件を満たす必要があるAlソリューションを設計しています。
*大量のデータのメモリ内処理をサポートする並列処理フレームワークを使用します。
* Apache Hiveクエリには、メモリ内キャッシュとカラムナーストレージエンジンを使用します。
各要件を満たすために何を使用する必要がありますか？回答するには、回答エリアで適切なオプションを選択します。
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
Box 1: Apache Spark
Apache Spark is a parallel processing framework that supports in-memory processing to boost the performance of big-data analytic applications. Apache Spark in Azure HDInsight is the Microsoft implementation of Apache Spark in the cloud.
Box 2: Interactive Query
Interactive Query provides In-memory caching and improved columnar storage engine for Hive queries.
References:
https://docs.microsoft.com/en-us/azure/hdinsight/spark/apache-spark-overview
https://docs.microsoft.com/bs-latn-ba/azure/hdinsight/interactive-query/apache-interactive-query-get-started
NEW QUESTION: 2
A company has created an online retail application that is hosted on a fleet of Amazon EC2 instances behind an ELB Application Load Balancer. User authentication is handled at the individual EC2 instance level. Once a user is authenticated; all requests from that user must go to the same EC2 instance. What should the SysOps Administrator enable to meet these requirements?
A. ELB TCP listeners
B. ELB cross-zone load balancing
C. ELB sticky sessions
D. ELB connection draining
Answer: C
NEW QUESTION: 3
A. Option D
B. Option E
C. Option C
D. Option B
E. Option A
Answer: C,E
Explanation:
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