Failure to load dependency lib for azureml-monitoring-0.1.0a21

I am trying to use azureml-monitoring for collecting logs to blob-storage for AzureML AKS Model deployments. I am following [this ](https://docs.microsoft.com/en-us/azure/machine-learning/how-to-enable-data-collection) page to set it up. However, upon calling the model, I get the following logs from the service pod:

```
File "/structure/azureml-app/score.py", line 23, in run
inputs_dc.collect(data) #this call is saving our input data into Azure Blob
File "/azureml-envs/sklearn-1.0/lib/python3.8/site-packages/azureml/monitoring/modeldatacollector.py", line 457, in collect
if (not self._cloud_enabled or self._handle == -1) and not self._debug:
AttributeError: 'ModelDataCollector' object has no attribute '_cloud_enabled'
```

Further down the stacktrace, it shows this.
```
00000000-0000-0000-0000-000000000000,Invalid or corrupted package: Unable to load dependency library!
```

It seems like this class is broken.

---
#### Document Details

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* ID: 63501a75-ac56-360f-fd2f-9b47980943dd
* Version Independent ID: 922345ef-a929-7202-b76a-668f95695f35
* Content: [azureml.monitoring.modeldatacollector.ModelDataCollector class - Azure Machine Learning Python](https://docs.microsoft.com/en-us/python/api/azureml-monitoring/azureml.monitoring.modeldatacollector.modeldatacollector?view=azure-ml-py)
* Content Source: [AzureML-Docset/stable/docs-ref-autogen/azureml-monitoring/azureml.monitoring.modeldatacollector.ModelDataCollector.yml](https://github.com/MicrosoftDocs/MachineLearning-Python-pr/blob/live/AzureML-Docset/stable/docs-ref-autogen/azureml-monitoring/azureml.monitoring.modeldatacollector.ModelDataCollector.yml)
* Service: **machine-learning**
* Sub-service: **core**
* GitHub Login: @DebFro
* Microsoft Alias: **debfro**

Comece pela linha 23 de score.py e pelo traceback de ModelDataCollector.collect; em seguida, inspecione o pacote azureml-monitoring 0.1.0a21 e seu log de carregamento de dependências enquanto segue a documentação vinculada sobre coleta de dados. Considera-se concluído quando a configuração documentada do AKS é carregada com sucesso e inputs_dc.collect(data) é concluído sem erros relacionados à ausência de _cloud_enabled ou a um pacote corrompido.

Escrita pelo modelo de indexação a partir do texto da issue.