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NEW QUESTION: 1
毎日のWebログトラフィックのバッチ処理を実行するSparkジョブを設計しています。
実稼働環境でジョブを展開する場合、次の要件を満たす必要があります。
* 1日1回実行します。
*ジョブの実行中に会社のイントラネットにステータス情報を表示します。
ジョブをトリガーおよび監視するためのテクノロジーを推奨する必要があります。
どのテクノロジーをお勧めしますか？答えるには、適切なテクノロジーを正しい場所にドラッグします。各テクノロジーは、1回、複数回、またはまったく使用されない場合があります。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

Box 1: Livy
You can use Livy to run interactive Spark shells or submit batch jobs to be run on Spark.
Box 2: Beeline
Apache Beeline can be used to run Apache Hive queries on HDInsight. You can use Beeline with Apache Spark.
Note: Beeline is a Hive client that is included on the head nodes of your HDInsight cluster. Beeline uses JDBC to connect to HiveServer2, a service hosted on your HDInsight cluster. You can also use Beeline to access Hive on HDInsight remotely over the internet.
References:
https://docs.microsoft.com/en-us/azure/hdinsight/spark/apache-spark-livy-rest-interface
https://docs.microsoft.com/en-us/azure/hdinsight/hadoop/apache-hadoop-use-hive-beeline

NEW QUESTION: 2
According to the Group of 30 Report, important risks associated with dynamic hedging are:
A. Neither A nor B
B. Greater volatility than expected over the life of an option
C. Sudden gaps in market prices
D. Both A and B
Answer: D

NEW QUESTION: 3
会社のeコマースWebサイトでトラフィックが急増しているため、会社のデータベースでパフォーマンスの問題が発生しています。ユーザーから、ウェブサイトへのアクセスに時間がかかるとの報告があります。開発者は、AmazonElastiCacheを使用してキャッシュレイヤーを実装したいと考えています。 Webサイトは、ユーザーがどの製品を表示しても応答性が高い必要があり、製品情報と価格の更新は強力に一貫している必要があります
A. キャッシュとバックエンドに同時に書き込みます
B. 最初にバックエンドに書き込み、キャッシュを無効にします
C. キャッシュに直接書き込み、後でバックエンドを同期します。
D. 最初にバックエンドに書き込み、キャッシュの有効期限が切れるのを待ちます。
E. これらの要件を満たすキャッシュ書き込みポリシーはどれですか？
Answer: B