### Description

Add Databricks Cluster API in Databricks Hook


### Use case/motivation

Databricks provider lacks [Cluster API](https://docs.databricks.com/dev-tools/api/latest/clusters.html) access to allow
to CRUD cluster as well as manage clusters (start/restart/delete/...)
Those API are very convenient to control clusters (get status, force shutdown...) and to optimize some specific flows (scale cluster in advance when a coming need is detected )

### Related issues

none

### Are you willing to submit a PR?

- [X] Yes I am willing to submit a PR!

### Code of Conduct

- [X] I agree to follow this project's [Code of Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md)

run_state = RunState("TERMINATED", "SUCCESS", "")
        assert run_state.is_successful
    def test_to_json(self):
        run_state = RunState("TERMINATED", "SUCCESS", "")
        expected = json.dumps(
            {"life_cycle_state": "TERMINATED", "result_state": "SUCCESS", "state_message": ""}
        )
        assert expected == run_state.to_json()
    def test_from_json(self):
        state = {"life_cycle_state": "TERMINATED", "result_state": "SUCCESS", "state_message": ""}
        expected = RunState("TERMINATED", "SUCCESS", "")
        assert expected == RunState.from_json(json.dumps(state))
def create_aad_token_for_resource(resource: str) -> dict:
    return {
        "token_type": "Bearer",
        "expires_in": "599",
        "ext_expires_in": "599",
        "expires_on": "1575500666",
        "not_before": "1575499766",
        "resource": resource,
        "access_token": TOKEN,
    }
class TestDatabricksHookAadToken:
    """
    Tests for DatabricksHook when auth is done with AAD token for SP as user inside workspace.
    """
    @provide_session
    def setup_method(self, method, session=None):