### 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)

"try_number": "1",
            "airflow_version": mock.ANY,
            "airflow_kpo_in_cluster": str(k.hook.is_in_cluster),
            "run_id": "test",
        }
    @patch(f"{POD_MANAGER_CLASS}.fetch_container_logs")
    @patch(f"{POD_MANAGER_CLASS}.await_container_completion", new=MagicMock)
    def test_no_handle_failure_on_success(self, fetch_container_mock):
        name_base = "test"
        k = KubernetesPodOperator(name=name_base, task_id="task")
        fetch_container_mock.return_value = None
        remote_pod_mock = MagicMock()
        remote_pod_mock.status.phase = "Succeeded"
        self.await_pod_mock.return_value = remote_pod_mock
        
        self.run_pod(k)
    def test_create_with_affinity(self):
        affinity = {
            "nodeAffinity": {
                "preferredDuringSchedulingIgnoredDuringExecution": [
                    {
                        "weight": 1,
                        "preference": {
                            "matchExpressions": [{"key": "disktype", "operator": "In", "values": ["ssd"]}]
                        },
                    }
                ]
            }
        }
        k = KubernetesPodOperator(