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articles/defender-for-cloud/continuous-export.md

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Learn more in [Azure Event Hubs - Geo-disaster recovery](../event-hubs/event-hubs-geo-dr.md).
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### What is the minimum SAS policy permissions required when exporting data to Azure Event Hub?
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**Send** is the minimum SAS policy permissions required. For step-by-step instructions, see **Step 1. Create an Event Hubs namespace and event hub with send permissions** in [this article](./export-to-splunk-or-qradar.md#step-1-create-an-event-hubs-namespace-and-event-hub-with-send-permissions).
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## Next steps
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In this article, you learned how to configure continuous exports of your recommendations and alerts. You also learned how to download your alerts data as a CSV file.

articles/key-vault/general/rbac-migration.md

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Azure RBAC disadvantages:
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- Latency for role assignments - it can take several minutes for role assignments to be applied. Vault access policies are assigned instantly.
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- Limited number of role assignments - Azure RBAC allows only 2000 roles assignments across all services per subscription versus 1024 access policies per Key Vault
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-Not able to fetch SSL certificates for an app service when used. [configure ssl certificate](../../app-service/configure-ssl-certificate.md)
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- Not able to fetch SSL certificates for an app service when used. [configure ssl certificate](../../app-service/configure-ssl-certificate.md)
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## Access policies to Azure roles mapping
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articles/logic-apps/workflow-definition-language-functions-reference.md

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This example sorts an array of objects by key:
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```
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sort(createArray(json('{ "first": "Amalie", "last": "Rose" }'), json('{ "first": "Elise", "last": "Renee" }'), "last")
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sort(createArray(json('{ "first": "Amalie", "last": "Rose" }'), json('{ "first": "Elise", "last": "Renee" }')), 'last')
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```
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And returns this array: `[{ "first": "Elise", "last": "Renee" }, {"first": "Amalie", "last": "Rose" }')]`

articles/machine-learning/concept-mlflow-models.md

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```python
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import mlflow
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mlflow..sklearn.log_model(sklearn_estimator, "classifier")
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mlflow.sklearn.log_model(sklearn_estimator, "classifier")
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```
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