### 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)

mock_requests.codes.ok = 200
        mock_requests.get.side_effect = [
            create_successful_response_mock({"compute": {"azEnvironment": "AZUREPUBLICCLOUD"}}),
            create_successful_response_mock(create_aad_token_for_resource(DEFAULT_DATABRICKS_SCOPE)),
        ]
        mock_requests.post.side_effect = [
            create_successful_response_mock({"run_id": "1"}),
        ]
        status_code_mock = mock.PropertyMock(return_value=200)
        type(mock_requests.post.return_value).status_code = status_code_mock
        data = {"notebook_task": NOTEBOOK_TASK, "new_cluster": NEW_CLUSTER}
        run_id = self.hook.submit_run(data)
        ad_call_args = mock_requests.method_calls[0]
        assert ad_call_args[1][0] == AZURE_METADATA_SERVICE_INSTANCE_URL
        assert ad_call_args[2]["params"]["api-version"] > "2018-02-01"
        assert ad_call_args[2]["headers"]["Metadata"] == "true"
        assert run_id == "1"
        args = mock_requests.post.call_args
        kwargs = args[1]
        assert kwargs["auth"].token == TOKEN
class TestDatabricksHookAsyncMethods: