You need to create Azure Databricks clusters for three workloads with the following requirements:

• A shared cluster for data engineers using Python and SQL.
• A job cluster for running packaged notebooks using Python, Scala, and SQL, managed via a request process.
• An individual cluster for each of the three data scientists using Scala and R, which must terminate after 120 minutes of inactivity.

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

Does this solution meet the goal?