Which two Azure services can be used to provision Apache Spark clusters? Each correct answer presents a complete solution.
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A. B. C. D.BC
https://www.sqlshack.com/a-beginners-guide-to-azure-databricks/The two Azure services that can be used to provision Apache Spark clusters are Azure HDInsight and Azure Databricks.
Azure HDInsight: Azure HDInsight is a fully managed cloud service that makes it easy to process big data using popular open-source frameworks such as Hadoop, Spark, Hive, and HBase. It provides a fully managed Apache Spark cluster that allows you to process large datasets quickly and easily. With Azure HDInsight, you can provision an Apache Spark cluster in minutes, scale the cluster up or down as needed, and pay only for what you use.
Azure Databricks: Azure Databricks is a fast, easy, and collaborative Apache Spark-based analytics platform. It provides an interactive workspace for data engineering, data science, and analytics. It also provides a fully managed Apache Spark cluster that allows you to process large datasets quickly and easily. With Azure Databricks, you can provision an Apache Spark cluster in minutes, scale the cluster up or down as needed, and pay only for what you use.
A. Azure Time Series Insights: Azure Time Series Insights is a fully managed analytics, storage, and visualization service that makes it easy to explore and analyze time-series data. However, it does not provide a fully managed Apache Spark cluster for processing big data.
D. Azure Log Analytics: Azure Log Analytics is a service that helps you collect and analyze data from various sources such as virtual machines, containers, and IoT devices. It does not provide a fully managed Apache Spark cluster for processing big data.