### Description

Airflow Connection testing using airflow CLI would be very useful  , where users can quick add test function to test connection in their applications. It will benefit CLI user to create and test new connections right from instance and reduce time on troubleshooting any connection issue. 

### Use case/motivation

airflow connection testing using airflow CLI , similar function as we have in Airflow CLI. 
example:  airflow connection test "hello_id"

### Related issues

N/A

### Are you willing to submit a PR?

- [ ] 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)

),
    ActionCommand(
        name="generate-dag-yaml",
        help="Generate YAML files for all tasks in DAG. Useful for debugging tasks without "
        "launching into a cluster",
        func=lazy_load_command("airflow.cli.commands.kubernetes_command.generate_pod_yaml"),
        args=(ARG_DAG_ID, ARG_EXECUTION_DATE, ARG_SUBDIR, ARG_OUTPUT_PATH, ARG_VERBOSE),
    ),
)
JOBS_COMMANDS = (
    ActionCommand(
        name="check",
        help="Checks if job(s) are still alive",
        func=lazy_load_command("airflow.cli.commands.jobs_command.check"),
        args=(
            ARG_JOB_TYPE_FILTER,
            ARG_JOB_HOSTNAME_FILTER,
            ARG_JOB_HOSTNAME_CALLABLE_FILTER,
            ARG_JOB_LIMIT,
            ARG_ALLOW_MULTIPLE,
            ARG_VERBOSE,
        ),
        epilog=(
            "examples:\n"
            "To check if the local scheduler is still working properly, run:\n"
            "\n"
            '    $ airflow jobs check --job-type SchedulerJob --local"\n'
            "\n"
            "To check if any scheduler is running when you are using high availability, run:\n"
            "\n"