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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 connection draining
C. ELB cross-zone load balancing
D. ELB sticky sessions
Answer: D
NEW QUESTION: 3
A. Option C
B. Option E
C. Option B
D. Option A
E. Option D
Answer: A,D
Explanation:
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