### Apache Airflow version

2.5.2

### What happened

Not sure if this is a feature not a bug, but I can use KubernetesPodOperator fine without setting a kubernetes_conn_id.
For example:
```
start = KubernetesPodOperator(
        namespace="mynamespace",
        cluster_context="mycontext",
        security_context={ 'runAsUser': 1000 },
        name="hello",
        image="busybox",
        image_pull_secrets=[k8s.V1LocalObjectReference('prodregistry')],
        cmds=["sh", "-cx"],
        arguments=["echo Start"],
        task_id="Start",
        in_cluster=False,
        is_delete_operator_pod=True,
        config_file="/home/airflow/.kube/config",
    )
```

But if I add deferrable=True to this it won't work. It seems to require an explicit kubernetes_conn_id (which we don't configure).

Is not possible to the deferrable version to work as the non deferrable one?

### What you think should happen instead

I hoped that kpo deferrable would work the same as non deferrable.

### How to reproduce

Use KPO with deferrable=True but no kubernetes_conn_id setting

### Operating System

Debian 11

### Versions of Apache Airflow Providers

_No response_

### Deployment

Official Apache Airflow Helm Chart

### Deployment details

_No response_

### 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)

c = ContainerStatusMock(name)
        c.state = RemotePodMock()
        c.state.running = {"a": "b"} if running else None
        return c
    pod_mock_list = []
    pod_mock_list.append(pytest.param(None, False, id="None remote_pod"))
    p = RemotePodMock()
    p.status = None
    pod_mock_list.append(pytest.param(p, False, id="None remote_pod.status"))
    p = RemotePodMock()
    p.status = RemotePodMock()
    p.status.container_statuses = []
    pod_mock_list.append(pytest.param(p, False, id="empty remote_pod.status.container_statuses"))
    pod_mock_list.append(pytest.param(remote_pod(), False, id="filter empty"))
    pod_mock_list.append(pytest.param(remote_pod(None, ["base"]), False, id="filter 0 running"))
    pod_mock_list.append(pytest.param(remote_pod(["hello"], ["base"]), False, id="filter 1 not running"))
    pod_mock_list.append(pytest.param(remote_pod(["base"], ["hello"]), True, id="filter 1 running"))
    return pod_mock_list
@pytest.mark.parametrize("remote_pod, result", params_for_test_container_is_running())
def test_container_is_running(remote_pod, result):
    """The `container_is_running` function is designed to handle an assortment of bad objects
    returned from `read_pod`.  E.g. a None object, an object `e` such that `e.status` is None,
    an object `e` such that `e.status.container_statuses` is None, and so on.  This test
    verifies the expected behavior."""
    assert container_is_running(remote_pod, "base") is result
class TestPodLogsConsumer: