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

1. Data engineers must share a single cluster.

2. Jobs will run notebooks provided by data scientists and engineers via a request process.

3. 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 High Concurrency cluster for the data engineers, and a Standard cluster for the jobs.

Does this solution meet the goal?