You plan to create an Azure Databricks workspace with three distinct workloads and specific configuration standards. The requirements are:

• A shared cluster for data engineers using Python and SQL.
• A job cluster managed by a request process for running notebooks that use Python, Scala, and SQL.
• An individual, auto-terminating cluster for each of the three data scientists using Scala and R.

The proposed solution is to create:

• A Standard cluster for each data scientist.
• A High Concurrency cluster for the data engineers.
• A High Concurrency cluster for the jobs.

Does this solution meet the goal?