### Description

The Databricks jobs 2.1 API has the ability to repair failed or skipped tasks in a Databricks workflow without having to rerun successful tasks for a given workflow run. It would be nice to be able to leverage this functionality via airflow operators.

### Use case/motivation

The primary motivation is the ability to be more efficient and only have to rerun failed or skipped tasks rather than the entire workflow if only 1 out of 10 tasks fail.

**Repair run API:**
https://docs.databricks.com/dev-tools/api/latest/jobs.html#operation/JobsRunsRepairfail

@alexott for visability

### Related issues

_No response_

### 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)

aad_token = {"token": "my_token", "expires_on": int(time.time()) + TOKEN_REFRESH_LEAD_TIME + 10}
        assert self.hook._is_aad_token_valid(aad_token)
    def test_is_aad_token_valid_returns_false(self):
        aad_token = {"token": "my_token", "expires_on": int(time.time())}
        assert not self.hook._is_aad_token_valid(aad_token)
    @mock.patch("airflow.providers.databricks.hooks.databricks_base.requests")
    def test_list_jobs_success_single_page(self, mock_requests):
        mock_requests.codes.ok = 200
        mock_requests.get.return_value.json.return_value = LIST_JOBS_RESPONSE
        jobs = self.hook.list_jobs()
        mock_requests.get.assert_called_once_with(
            list_jobs_endpoint(HOST),
            json=None,
            params={"limit": 25, "offset": 0, "expand_tasks": False},
            auth=HTTPBasicAuth(LOGIN, PASSWORD),
            headers=self.hook.user_agent_header,
            timeout=self.hook.timeout_seconds,
        )
        assert jobs == LIST_JOBS_RESPONSE["jobs"]
    @mock.patch("airflow.providers.databricks.hooks.databricks_base.requests")
    def test_list_jobs_success_multiple_pages(self, mock_requests):