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articles/applied-ai-services/metrics-advisor/includes/quickstarts/python.md

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@@ -45,7 +45,7 @@ To successfully make a call against the Anomaly Detector service, you'll need th
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| `METRICS_ADVISOR_ENDPOINT` | This value can be found in the **Keys & Endpoint** section when examining your resource from the Azure portal. Example endpoint: `https://YOUR_RESOURCE_NAME.cognitiveservices.azure.com/`|
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| `METRICS_ADVISOR_KEY` | The key value can be found in the **Keys & Endpoint** section when examining your resource from the Azure portal. You can use either `KEY1` or `KEY2`.|
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|`METRICS_ADVISOR_API_KEY` |The key value can be found under **Settings** > **API keys** when examining your resource from the [Metrics Advisor portal](https://metricsadvisor.azurewebsites.net/). You can use either `KEY1` or `KEY2`. |
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|`SQL_CONNECTION_STRING` | This quickstart requires you to have your own SQL Database + connection string. An example connection string would look similar to the following:`Data Source=<Server>;Initial Catalog=<db-name>;User ID=<user-name>;Password=<password>` for more information on constructing SQL connection strings consult the [SQL documentation](/azure/applied-ai-services/metrics-advisor/data-feeds-from-different-sources#azure-sql-database--sql-server). |
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|`SQL_CONNECTION_STRING` | This quickstart requires you to have your own SQL Database + connection string. An example connection string would look similar to the following example:`Data Source=<Server>;Initial Catalog=<db-name>;User ID=<user-name>;Password=<password>` for more information on constructing SQL connection strings, see the [SQL documentation](/azure/applied-ai-services/metrics-advisor/data-feeds-from-different-sources#azure-sql-database--sql-server). |
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|`SQL_QUERY`| Unique query specific to your dataset.|
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### Create environment variables

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