K Means Predictor - SSL Validation Failing

Question

I have been following [this](https://sagemaker-examples.readthedocs.io/en/latest/introduction_to_applying_machine_learning/US-census_population_segmentation_PCA_Kmeans/sagemaker-countycensusclustering.html) tutorial  to deploy a K Means model, but am running into the following error after executing the following code:
```
result = kmeans_predictor.predict(train_data_scaled.to_numpy().astype('float32'))
```
*Error*:
```
SSL validation failed for https://runtime.sagemaker.us-east-1.amazonaws.com/endpoints/kmeans-2023-05-17-18-31-32-503/invocations EOF occurred in violation of protocol (_ssl.c:2396)
```

Through some research, I understand that this is an issue with my endpoint, but I am unsure of how to properly establish or pass this to the predictor.

For reference, when I establish the predictor, it appears to successfully create an endpoint.
![Successfully creating endpoint](/media/postImages/original/IMZ-Yx3fusRde582jLzFi0PA)

Answer

If you're running the Python script in a corporate network, SSL/TLS inspection or interception could be causing this problem. Check with your network administrator to see if this is the case. other than this you can check your python or you can upgrade your packages

```
pip install --upgrade requests urllib3 botocore
pip install --upgrade sagemaker
```

As a last resort, you can disable SSL verification to see if that resolves the problem. However, for security reasons, this is generally not recommended. If you try this, you should only do so for debugging purposes, and you should re-enable SSL verification as soon as you're finished.

```
import os
os.environ['AWS_CA_BUNDLE'] = ''
```

K Means Predictor - SSL Validation Failing

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