Answer D is correct. Azure Databricks pools reduce cluster start and auto-scaling times by maintaining a set of idle, ready-to-use instances.

D is accurate answer and this link show this info explicty https://learn.microsoft.com/en-us/azure/databricks/clusters/cluster-config-best-practices

I found this question on my exam yesterday, 30/04/2024, and I put C. I passed the exam with a high score, but I'm not sure if the answer is correct.

The solution must minimize costs, so upgrade to Premium is not an option.

This came in my today's exam . Answer D is correct .

The best solution to reduce the time it takes for cluster1 to start and scale up while minimizing costs is to create a pool in workspace1. A pool is a group of preconfigured clusters that share resources and can be quickly provisioned and scaled up or down as needed. This can significantly reduce the time it takes for cluster1 to start and scale up, as the resources are already provisioned and ready to use.

Got this question today on the exam. Selected Upgrade to Premium tier, was incorrect of course

D is correct

C is the answer

To reduce the time it takes for cluster1 to start and scale up in Azure Databricks workspace, the first step you should take is to create a pool in workspace1.

The correct answer in this scenario would be B. Create a cluster policy in workspace1. Creating a cluster policy allows you to define a set of rules and configurations that apply to all clusters within the workspace. By creating a cluster policy, you can optimize the cluster startup and scaling behavior. With a cluster policy, you can specify settings such as the minimum and maximum number of worker nodes, the idle timeout duration, and the auto-termination behavior. By tuning these settings, you can reduce the time it takes for cluster1 to start and scale up, ensuring that resources are efficiently utilized. Configuring a global init script (option A) or creating a pool (option D) may have other benefits, but they are not directly related to reducing the time it takes for cluster1 to start and scale up. Upgrading the workspace to the Premium pricing tier (option C) may offer additional features but is not necessary to address the specific requirement of minimizing cluster startup and scaling time while minimizing costs.

How can it be C), as the question clearly states 'minimize costs'

I think it's B. Create a cluster policy in workspace1 Cluster policies in Azure Databricks allow you to define rules and configurations for cluster creation and termination. By creating a cluster policy, you can optimize the cluster start time and scale-up process based on your specific requirements.

D is correct answer

Correct Answer: D

C and D are practical but the question asked to minimize the costs. Thus, the answer is D.

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