### 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)

"""
        Obtains Repos ID by path.
        :param path: path to a repository
        :return: Repos ID if it exists, None if doesn't.
        """
        try:
            result = self._do_api_call(WORKSPACE_GET_STATUS_ENDPOINT, {"path": path}, wrap_http_errors=False)
            if result.get("object_type", "") == "REPO":
                return str(result["object_id"])
        except requests_exceptions.HTTPError as e:
            if e.response.status_code != 404:
                raise e
        return None
    def test_connection(self) -> tuple[bool, str]:
        """Test the Databricks connectivity from UI."""
        hook = DatabricksHook(databricks_conn_id=self.databricks_conn_id)
        try:
            hook._do_api_call(endpoint_info=SPARK_VERSIONS_ENDPOINT).get("versions")
            status = True
            message = "Connection successfully tested"
        except Exception as e:
            status = False
            message = str(e)
        return status, message