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Update aws-sagemaker-mlops-integration.mdx
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YehezkelShay committed Dec 13, 2021
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Expand Up @@ -46,8 +46,8 @@ module "example_usage" {
```

When calling the module, please write the correct `newrelic_collector_endpoint`:
* [HTTP endpoint URL - US datacenter](https://aws-api.newrelic.com/cloudwatch-metrics/v1)
* [HTTP endpoint URL - EU datacenter](https://aws-api.eu01.nr-data.net/cloudwatch-metrics/v1)
* HTTP endpoint URL - US datacenter: `https://aws-api.newrelic.com/cloudwatch-metrics/v1`
* HTTP endpoint URL - EU datacenter: `https://aws-api.eu01.nr-data.net/cloudwatch-metrics/v1`

When you set the metric stream you can choose to stream the metric from all the namespaces, or you can specify namespaces.

Expand All @@ -65,10 +65,10 @@ The **[Amazon SageMaker Model Monitor](https://docs.aws.amazon.com/sagemaker/lat

* [Monitor Data Quality](https://docs.aws.amazon.com/sagemaker/latest/dg/model-monitor-data-quality.html): Monitor drift in data quality.
* Example notebook: [Amazon SageMaker Model Monitor](https://sagemaker-examples.readthedocs.io/en/latest/sagemaker_model_monitor/introduction/SageMaker-ModelMonitoring.html)
* [CloudWatch metrics for namespace `aws/sagemaker/Endpoints/data-metrics`](https://docs.aws.amazon.com/sagemaker/latest/dg/model-monitor-interpreting-cloudwatch.html)
* Namespace: `aws/sagemaker/Endpoints/data-metrics`
* [Monitor Model Quality](https://docs.aws.amazon.com/sagemaker/latest/dg/model-monitor-model-quality.html): Monitor drift in model quality metrics, such as accuracy.
* Example notebook: [Amazon SageMaker Model Quality Monitor](https://sagemaker-examples.readthedocs.io/en/latest/sagemaker_model_monitor/model_quality/model_quality_churn_sdk.html)
* [CloudWatch metrics for namespace `aws/sagemaker/Endpoints/model-metrics`](https://docs.aws.amazon.com/sagemaker/latest/dg/model-monitor-model-quality-metrics.html)
* Namespace: `aws/sagemaker/Endpoints/model-metrics`
* [Monitor Bias Drift for Models in Production](https://docs.aws.amazon.com/sagemaker/latest/dg/clarify-model-monitor-bias-drift.html): Monitor bias in you model's predictions.
* Example notebook: [Monitoring bias drift and feature attribution drift Amazon SageMaker Clarify](https://sagemaker-examples.readthedocs.io/en/latest/sagemaker_model_monitor/fairness_and_explainability/SageMaker-Model-Monitor-Fairness-and-Explainability.html)
* Namespace: `aws/sagemaker/Endpoints/bias-metrics`
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