### 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)

response = mock.MagicMock()
    response.json.return_value = content
    response.__aenter__.return_value.json = AsyncMock(return_value=content)
    return response
def create_successful_response_mock(content):
    response = mock.MagicMock()
    response.json.return_value = content
    response.status_code = 200
    return response
def create_post_side_effect(exception, status_code=500):
    if exception != requests_exceptions.HTTPError:
        return exception()
    else:
        response = mock.MagicMock()
        response.status_code = status_code
        response.raise_for_status.side_effect = exception(response=response)
        return response
def setup_mock_requests(mock_requests, exception, status_code=500, error_count=None, response_content=None):
    side_effect = create_post_side_effect(exception, status_code)
    if error_count is None:
        
        mock_requests.post.side_effect = itertools.repeat(side_effect)
    else:
        
        mock_requests.post.side_effect = [side_effect] * error_count + [
            create_valid_response_mock(response_content)
        ]
class TestDatabricksHook: