### Description

Allow an Airflow DAG to define a Databricks job with the `api/2.1/jobs/create` (or `api/2.1/jobs/reset`) endpoint then run that same job with the `api/2.1/jobs/run-now` endpoint. This would give similar capabilities as the DatabricksSubmitRun operator, but the `api/2.1/jobs/create` endpoint supports additional parameters that the `api/2.1/jobs/runs/submit` doesn't (e.g. `job_clusters`, `email_notifications`, etc.).

### Use case/motivation

Create and run a Databricks job all in the Airflow DAG. Currently, DatabricksSubmitRun operator uses the `api/2.1/jobs/runs/submit` endpoint which doesn't support all features and creates runs that aren't tied to a job in the Databricks UI. Also, DatabricksRunNow operator requires you to define the job either directly in the Databricks UI or through a separate CI/CD pipeline causing the headache of having to change code in multiple places.

### 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)

"""
    Utility function to generate the get run endpoint given the host.
    """
    return f"https://{host}/api/2.0/clusters/restart"
def terminate_cluster_endpoint(host):
    """
    Utility function to generate the get run endpoint given the host.
    """
    return f"https://{host}/api/2.0/clusters/delete"
def install_endpoint(host):
    """
    Utility function to generate the install endpoint given the host.
    """
    return f"https://{host}/api/2.0/libraries/install"
def uninstall_endpoint(host):
    """
    Utility function to generate the uninstall endpoint given the host.
    """
    return f"https://{host}/api/2.0/libraries/uninstall"
def list_jobs_endpoint(host):
    """
    Utility function to generate the list jobs endpoint given the host
    """
    return f"https://{host}/api/2.1/jobs/list"
def list_spark_versions_endpoint(host):
    """Utility function to generate the list spark versions endpoint given the host"""
    return f"https://{host}/api/2.0/clusters/spark-versions"
def create_valid_response_mock(content):