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NEW QUESTION: 1

Kalkulationsschema >> Konditionstyp Beschreibung

1 1 PB00 Preis Brutto-Preis
10 1 RB01 Zu-/Abschlag Rabatt ( % ) 1
15 1 ZC01 Zu-/Abschlag Aufschlag ( % ) 1
20 0 NETTO-Preis
30 1 FRB1 Zu-/Abschlag Fracht (absolut) 20
35 1 SKTO Zu-/Abschlag Skonto ( % ) 20
40 0 EFFEKTIV-Preis
A. $ 1,045
B. $ 1,055
C. $ 1,026
D. $ 1,050
Answer: B

NEW QUESTION: 2

A. Option E
B. Option B
C. Option C
D. Option D
E. Option A
Answer: B,E

NEW QUESTION: 3
ラムダアーキテクチャパターンを実装するデータ処理ソリューションを設計しています。このソリューションでは、データ処理にHDInsightで実行されるSparkを使用します。
ソリューションにはデータストレージテクノロジーを推奨する必要があります。
どちらのテクノロジーをお勧めしますか？それぞれの正解は完全な解決策を提示します。
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。
A. Azure Cosmos DB
B. Azure Service Bus
C. Kafka HDInsight
D. Azure Storage Queue
E. Apache Cassandra
Answer: A,C
Explanation:
Explanation
To implement a lambda architecture on Azure, you can combine the following technologies to accelerate realtime big data analytics:
Azure Cosmos DB, the industry's first globally distributed, multi-model database service.
Apache Spark for Azure HDInsight, a processing framework that runs large-scale data analytics applications Azure Cosmos DB change feed, which streams new data to the batch layer for HDInsight to process The Spark to Azure Cosmos DB Connector E: You can use Apache Spark to stream data into or out of Apache Kafka on HDInsight using DStreams.
References:
https://docs.microsoft.com/en-us/azure/cosmos-db/lambda-architecture