The data engineering team manages Azure HDInsight clusters. The team spends a large amount of time creating and destroying clusters daily because most of the data pipeline process runs in minutes.
You need to implement a solution that deploys multiple HDInsight clusters with minimal effort.
What should you implement?
A . Azure Databricks
B . Azure Traffic Manager
C . Azure Resource Manager templates
D . Ambari web user interface
Answer: C
Explanation:
A Resource Manager template makes it easy to create the following resources for your application in a single, coordinated operation:
✑ HDInsight clusters and their dependent resources (such as the default storage account).
✑ Other resources (such as Azure SQL Database to use Apache Sqoop).
In the template, you define the resources that are needed for the application. You also specify deployment parameters to input values for different environments. The template consists of JSON and expressions that you use to construct values for your deployment.
References: https://docs.microsoft.com/en-us/azure/hdinsight/hdinsight-hadoop-create-linux-clusters-arm-templates
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