### Apache Airflow version

2.2.0b2 (beta snapshot)

### Operating System

ubuntu 20.04

### Versions of Apache Airflow Providers

n/a

### Deployment

Virtualenv installation

### Deployment details

pip install /path/to/airflow/src

### What happened

Given any DAG initialized with: `schedule_interval=None`

Run `airflow dags test mydagname $(date +%Y-%m-%d)` and get an error:

```
INFO - No run dates were found for the given dates and dag interval.
```

This behavior changed in https://github.com/apache/airflow/pull/15397, it used to trigger a backfill dagrun at the given date.

### What you expected to happen

I expected a backfill dagrun with the given date, regardless of whether it fit into the `schedule_interval`.

If AIP-39 made that an unrealistic expectation, then I'd hope for some way to define unscheduled dags which can still be tested from the command line (which, so far as I know, is the fastest way to iterate on a DAG.).

As it is, I keep changing `schedule_interval` back and forth depending on whether I want to iterate via `astro dev start` (which tolerates `None` but does superfluous work if the dag is scheduled) or via `airflow dags test ...` (which doesn't tolerate `None`).

### How to reproduce

Initialize a DAG with: `schedule_interval=None` and run it via `airflow dags test mydagname $(date +%Y-%m-%d)`

### Anything else

_No response_

### Are you willing to submit 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)

airflow/cli/commands/dag_command.py
"""Lists latest n jobs"""
    queries = []
    if dag:
        args.dag_id = dag.dag_id
    if args.dag_id:
        dagbag = DagBag()
        if args.dag_id not in dagbag.dags:
            error_message = f"Dag id {args.dag_id} not found"
            raise AirflowException(error_message)
        queries.append(BaseJob.dag_id == args.dag_id)
    if args.state:
        queries.append(BaseJob.state == args.state)
    fields = ['dag_id', 'state', 'job_type', 'start_date', 'end_date']
    with create_session() as session:
        all_jobs = (
            session.query(BaseJob)
            .filter(*queries)
            .order_by(BaseJob.start_date.desc())
            .limit(args.limit)
            .all()
        )
        all_jobs = [{f: str(job.__getattribute__(f)) for f in fields} for job in all_jobs]
    AirflowConsole().print_as(
        data=all_jobs,
        output=args.output,
    )
@cli_utils.action_logging
@suppress_logs_and_warning
def dag_list_dag_runs(args, dag=None):
    """Lists dag runs for a given DAG"""