DP-203 Question #230: Real Exam Question with Answer & Explanation

Question

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?

Options

• AAzure Databricks
• BAzure Traffic Manager
• CAzure Resource Manager templates
• DAmbari web user interface

Explanation

Azure Resource Manager (ARM) templates are the right choice because they allow you to define your entire HDInsight cluster infrastructure as reusable JSON/Bicep code - deploy once, reuse infinitely with a single command, making daily cluster creation and teardown fast and consistent.

• A (Azure Databricks) is a separate analytics platform, not a deployment automation tool for HDInsight - it would replace HDInsight rather than solve the provisioning problem.
• B (Azure Traffic Manager) is a DNS-based load balancer for routing network traffic across regions; it has nothing to do with cluster provisioning.
• D (Ambari) is a cluster management UI for monitoring and configuring an already-running HDInsight cluster - it can't deploy new clusters.

Memory tip: Think of ARM templates as "infrastructure photocopies" - you design the cluster once on paper, then photocopy and stamp it out as many times as you need with zero redesign effort.

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