### 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.post.return_value.json.return_value = {}
        self.hook.cancel_all_runs(JOB_ID)
        mock_requests.post.assert_called_once_with(
            cancel_all_runs_endpoint(HOST),
            json={"job_id": JOB_ID},
            params=None,
            auth=HTTPBasicAuth(LOGIN, PASSWORD),
            headers=self.hook.user_agent_header,
            timeout=self.hook.timeout_seconds,
        )
    @mock.patch("airflow.providers.databricks.hooks.databricks_base.requests")
    def test_delete_run(self, mock_requests):
        mock_requests.post.return_value.json.return_value = {}
        self.hook.delete_run(RUN_ID)
        mock_requests.post.assert_called_once_with(
            delete_run_endpoint(HOST),
            json={"run_id": RUN_ID},
            params=None,
            auth=HTTPBasicAuth(LOGIN, PASSWORD),
            headers=self.hook.user_agent_header,
            timeout=self.hook.timeout_seconds,
        )
    @mock.patch("airflow.providers.databricks.hooks.databricks_base.requests")
    def test_repair_run(self, mock_requests):