### Apache Airflow version

2.2.3rc1 (release candidate)

### What happened

After fresh install of the latest release and running db init it getting below error messages among usual db init messages. Note that I deliberately didn't chose to use VENV but I think that should be handled gracefully rather than below errors. Also relates to https://github.com/apache/airflow/pull/19355
```ERROR [airflow.models.dagbag.DagBag] Failed to import: /usr/local/lib/python3.8/site-packages/airflow/example_dags/tutorial_taskflow_api_etl_virtualenv.py
Traceback (most recent call last):
  File "/usr/local/lib/python3.8/site-packages/airflow/models/dagbag.py", line 331, in _load_modules_from_file
    loader.exec_module(new_module)
  File "<frozen importlib._bootstrap_external>", line 843, in exec_module
  File "<frozen importlib._bootstrap>", line 219, in _call_with_frames_removed
  File "/usr/local/lib/python3.8/site-packages/airflow/example_dags/tutorial_taskflow_api_etl_virtualenv.py", line 81, in <module>
    tutorial_etl_dag = tutorial_taskflow_api_etl_virtualenv()
  File "/usr/local/lib/python3.8/site-packages/airflow/models/dag.py", line 2984, in factory
    f(**f_kwargs)
  File "/usr/local/lib/python3.8/site-packages/airflow/example_dags/tutorial_taskflow_api_etl_virtualenv.py", line 76, in tutorial_taskflow_api_etl_virtualenv
    order_data = extract()
  File "/usr/local/lib/python3.8/site-packages/airflow/decorators/base.py", line 219, in factory
    op = decorated_operator_class(
  File "/usr/local/lib/python3.8/site-packages/airflow/models/baseoperator.py", line 188, in apply_defaults
    result = func(self, *args, **kwargs)
  File "/usr/local/lib/python3.8/site-packages/airflow/decorators/python_virtualenv.py", line 61, in __init__
    super().__init__(kwargs_to_upstream=kwargs_to_upstream, **kwargs)
  File "/usr/local/lib/python3.8/site-packages/airflow/models/baseoperator.py", line 188, in apply_defaults
    result = func(self, *args, **kwargs)
  File "/usr/local/lib/python3.8/site-packages/airflow/decorators/base.py", line 131, in __init__
    super().__init__(**kwargs_to_upstream, **kwargs)
  File "/usr/local/lib/python3.8/site-packages/airflow/models/baseoperator.py", line 188, in apply_defaults
    result = func(self, *args, **kwargs)
  File "/usr/local/lib/python3.8/site-packages/airflow/operators/python.py", line 371, in __init__
    raise AirflowException('PythonVirtualenvOperator requires virtualenv, please install it.')
airflow.exceptions.AirflowException: PythonVirtualenvOperator requires virtualenv, please install it.
ERROR [airflow.models.dagbag.DagBag] Failed to import: /usr/local/lib/python3.8/site-packages/airflow/example_dags/example_python_operator.py
Traceback (most recent call last):
  File "/usr/local/lib/python3.8/site-packages/airflow/models/dagbag.py", line 331, in _load_modules_from_file
    loader.exec_module(new_module)
  File "<frozen importlib._bootstrap_external>", line 843, in exec_module
  File "<frozen importlib._bootstrap>", line 219, in _call_with_frames_removed
  File "/usr/local/lib/python3.8/site-packages/airflow/example_dags/example_python_operator.py", line 86, in <module>
    virtualenv_task = callable_virtualenv()
  File "/usr/local/lib/python3.8/site-packages/airflow/decorators/base.py", line 219, in factory
    op = decorated_operator_class(
  File "/usr/local/lib/python3.8/site-packages/airflow/models/baseoperator.py", line 188, in apply_defaults
    result = func(self, *args, **kwargs)
  File "/usr/local/lib/python3.8/site-packages/airflow/decorators/python_virtualenv.py", line 61, in __init__
    super().__init__(kwargs_to_upstream=kwargs_to_upstream, **kwargs)
  File "/usr/local/lib/python3.8/site-packages/airflow/models/baseoperator.py", line 188, in apply_defaults
    result = func(self, *args, **kwargs)
  File "/usr/local/lib/python3.8/site-packages/airflow/decorators/base.py", line 131, in __init__
    super().__init__(**kwargs_to_upstream, **kwargs)
  File "/usr/local/lib/python3.8/site-packages/airflow/models/baseoperator.py", line 188, in apply_defaults
    result = func(self, *args, **kwargs)
  File "/usr/local/lib/python3.8/site-packages/airflow/operators/python.py", line 371, in __init__
    raise AirflowException('PythonVirtualenvOperator requires virtualenv, please install it.')
airflow.exceptions.AirflowException: PythonVirtualenvOperator requires virtualenv, please install it.
WARNI [unusual_prefix_97712dd65736a8bf7fa3a692877470abf8eebade_example_kubernetes_executor] Could not import DAGs in example_kubernetes_executor.py
Traceback (most recent call last):
  File "/usr/local/lib/python3.8/site-packages/airflow/example_dags/example_kubernetes_executor.py", line 36, in <module>
    from kubernetes.client import models as k8s
ModuleNotFoundError: No module named 'kubernetes'
WARNI [unusual_prefix_97712dd65736a8bf7fa3a692877470abf8eebade_example_kubernetes_executor] Install Kubernetes dependencies with: pip install apache-airflow[cncf.kubernetes]
ERROR [airflow.models.dagbag.DagBag] Failed to import: /usr/local/lib/python3.8/site-packages/airflow/example_dags/example_kubernetes_executor.py
Traceback (most recent call last):
  File "/usr/local/lib/python3.8/site-packages/airflow/models/dagbag.py", line 331, in _load_modules_from_file
    loader.exec_module(new_module)
  File "<frozen importlib._bootstrap_external>", line 843, in exec_module
  File "<frozen importlib._bootstrap>", line 219, in _call_with_frames_removed
  File "/usr/local/lib/python3.8/site-packages/airflow/example_dags/example_kubernetes_executor.py", line 51, in <module>
    "pod_override": k8s.V1Pod(metadata=k8s.V1ObjectMeta(annotations={"test": "annotation"}))
NameError: name 'k8s' is not defined
```

### What you expected to happen

No errors, but warnings

### How to reproduce

docker run --name test-airflow-2.2.3rc1 -it python:3.8.12-buster bash
airflow db init
pip install apache-airflow==2.2.3rc1

### Operating System

debian

### Versions of Apache Airflow Providers

_No response_

### Deployment

Other Docker-based deployment

### Deployment details

docker run --name test-airflow-2.2.3rc1 -it python:3.8.12-buster bash

### 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/example_dags/example_kubernetes_executor.py
start_task_executor_config = {
        "pod_override": k8s.V1Pod(metadata=k8s.V1ObjectMeta(annotations={"test": "annotation"}))
    }
    @task(executor_config=start_task_executor_config)
    def start_task():
        print_stuff()
    start_task = start_task()
    
    executor_config_volume_mount = {
        "pod_override": k8s.V1Pod(
            spec=k8s.V1PodSpec(
                containers=[
                    k8s.V1Container(
                        name="base",
                        volume_mounts=[
                            k8s.V1VolumeMount(mount_path="/foo/", name="example-kubernetes-test-volume")
                        ],
                    )
                ],
                volumes=[
                    k8s.V1Volume(
                        name="example-kubernetes-test-volume",
                        host_path=k8s.V1HostPathVolumeSource(path="/tmp/"),
                    )
                ],
            )
        ),
    }
    @task(executor_config=executor_config_volume_mount)
    def test_volume_mount():