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NEW QUESTION: 1
Angenommen, Sie schreiben Code für eine Klasse mit dem Namen Product.
Sie müssen sicherstellen, dass die Datenelemente der Klasse auf ihre korrekten Werte initialisiert werden, sobald Sie ein Objekt der Produktklasse erstellen.
Der Initialisierungscode sollte immer ausgeführt werden.
Was tun?
A. Erstellen Sie eine statische Eigenschaft in der Product-Klasse, um Datenelemente zu initialisieren.
B. Erstellen Sie ein Ereignis in der Produktklasse, um Datenelemente zu initialisieren.
C. Erstellen Sie einen Konstruktor in der Product-Klasse, um Datenelemente zu initialisieren.
D. Erstellen Sie eine statische Methode in der Product-Klasse, um Datenelemente zu initialisieren.
Answer: C

NEW QUESTION: 2
You are planning a big data solution in Azure.
You need to recommend a technology that meets the following requirements:
* Be optimized for batch processing.
* Support autoscaling.
* Support per-cluster scaling.
Which technology should you recommend?
A. Azure Databricks
B. Azure Data Warehouse
C. Azure Analysis Services
D. Azure HDInsight with Spark
Answer: A
Explanation:
Azure Databricks is an Apache Spark-based analytics platform. Azure Databricks supports autoscaling and manages the Spark cluster for you.
Incorrect Answers:
A, B:

NEW QUESTION: 3
어느 도구를 사용하여 서버를 설정하거나 관리 할 필요없이 S3의 데이터에 대해 임의 (ad-hoc) 쿼리를 실행하는 가장 쉬운 방법을 제공합니다.
정답을 선택하십시오.
A. EMR
B. 적색 변속
C. 아테나
D. SQS
Answer: C
Explanation:
Query services like Amazon Athena, data warehouses like Amazon Redshift, and sophisticated data processing frameworks like Amazon EMR, all address different needs and use cases. You just need to choose the right tool for the job. Amazon Redshift provides the fastest query performance for enterprise reporting and business intelligence workloads, particularly those involving extremely complex SQL with multiple joins and sub-queries. Amazon EMR makes it simple and cost-effective to run highly distributed processing frameworks such as Hadoop, Spark, and Presto when compared to on-premises deployments. Amazon EMR is flexible ?you can run custom applications and code, and define specific compute, memory, storage, and application parameters to optimize your analytic requirements. Amazon Athena provides the easiest way to run ad-hoc queries for data in S3 without the need to setup or manage any servers Reference:
https://aws.amazon.com/athena/faqs/