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?
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A. B. C. D.C
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.
https://docs.microsoft.com/en-us/azure/hdinsight/hdinsight-hadoop-create-linux-clusters-arm-templatesThe correct answer for this question is C. Azure Resource Manager templates.
Azure Resource Manager (ARM) templates are a powerful and efficient way to deploy infrastructure as code. They allow you to define and deploy Azure resources in a declarative manner, enabling you to automate the process of creating and managing infrastructure. With ARM templates, you can easily deploy and manage multiple resources as a single unit, which makes them perfect for deploying multiple HDInsight clusters with minimal effort.
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 others. HDInsight clusters can be created and destroyed on demand, which is an excellent feature for big data processing workloads that are not running 24/7.
To deploy multiple HDInsight clusters with minimal effort, you can use Azure Resource Manager templates. ARM templates allow you to define and deploy HDInsight clusters with a few clicks or commands. You can define the configuration of your HDInsight clusters, including the cluster type, the number of nodes, the size of the virtual machines, the storage accounts to use, and other settings.
Once you have defined your ARM template, you can deploy multiple HDInsight clusters with minimal effort. You can deploy the template using the Azure Portal, Azure CLI, Azure PowerShell, or other tools. You can also deploy the template programmatically using Azure SDKs or REST APIs.
In summary, Azure Resource Manager templates are the best solution for deploying multiple HDInsight clusters with minimal effort. They allow you to define and deploy infrastructure as code, automate the process of creating and managing resources, and deploy multiple resources as a single unit.