You plan to create an Azure Databricks workspace with three workloads: one for data engineers using Python and SQL, one for jobs running notebooks with Python, Scala, and SQL, and one for data scientists performing ad hoc analysis in Scala and R. The following company standards must be met:

• Data engineers must share a single cluster.
• The job cluster must be managed via a request process where data scientists and engineers provide packaged notebooks for deployment.
• Each data scientist must have their own cluster that terminates after 120 minutes of inactivity. There are three data scientists.

Proposed Solution: You create a Standard cluster for each data scientist, a Standard cluster for the data engineers, and a High Concurrency cluster for the jobs.

Does this solution meet the goal?