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articles/ai-services/anomaly-detector/index.yml

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manager: nitinme
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ms.service: azure-ai-anomaly-detector
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ms.topic: landing-page
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ms.date: 01/18/2024
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ms.date: 09/20/2024
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ms.author: mbullwin
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articles/ai-services/anomaly-detector/overview.md

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ms.service: azure-ai-anomaly-detector
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ms.topic: overview
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ms.date: 01/18/2024
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ms.date: 09/20/2024
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ms.author: mbullwin
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keywords: anomaly detection, machine learning, algorithms
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---

articles/ai-services/content-safety/quickstart-protected-material.md

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--header 'Ocp-Apim-Subscription-Key: <your_subscription_key>' \
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--header 'Content-Type: application/json' \
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--data-raw '{
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"text": "to everyone, the best things in life are free. the stars belong to everyone, they gleam there for you and me. the flowers in spring, the robins that sing, the sunbeams that shine"
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"text": "Kiss me out of the bearded barley Nightly beside the green, green grass Swing, swing, swing the spinning step You wear those shoes and I will wear that dress Oh, kiss me beneath the milky twilight Lead me out on the moonlit floor Lift your open hand Strike up the band and make the fireflies dance Silver moon's sparkling So, kiss me Kiss me down by the broken tree house Swing me upon its hanging tire Bring, bring, bring your flowered hat We'll take the trail marked on your father's map."
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}'
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```
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The below fields must be included in the url:

articles/ai-services/metrics-advisor/data-feeds-from-different-sources.md

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ms.service: azure-ai-metrics-advisor
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ms.topic: conceptual
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ms.date: 09/20/2024
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---
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[!INCLUDE [Deprecation announcement](includes/deprecation.md)]
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> [!IMPORTANT]
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> Microsoft recommends that you use the most secure authentication flow available. Some of the authentication flows described in this article require a very high degree of trust in the application, and carries risks that are not present in other more secure flows. You should only use this flow when other more secure flows, such as managed identities, aren't viable.
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Use this article to find the settings and requirements for connecting different types of data sources to Azure AI Metrics Advisor. To learn about using your data with Metrics Advisor, see [Onboard your data](how-tos/onboard-your-data.md).
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## Supported authentication types

articles/ai-services/metrics-advisor/encryption.md

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ms.service: azure-ai-metrics-advisor
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ms.custom: applied-ai-non-critical-metrics-advisor
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ms.topic: how-to
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#Customer intent: As a user of the Metrics Advisor service, I want to learn how encryption at rest works.
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[!INCLUDE [Deprecation announcement](includes/deprecation.md)]
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> [!IMPORTANT]
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> Microsoft recommends that you use the most secure authentication flow available. Some of the authentication flows described in this article require a very high degree of trust in the application, and carries risks that are not present in other more secure flows. You should only use this flow when other more secure flows, such as managed identities, aren't viable.
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Metrics Advisor service automatically encrypts your data when it's persisted to the cloud. The Metrics Advisor service encryption protects your data and helps you to meet your organizational security and compliance commitments.
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[!INCLUDE [cognitive-services-about-encryption](../../ai-services/includes/cognitive-services-about-encryption.md)]

articles/ai-services/metrics-advisor/includes/quickstarts/csharp.md

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[Reference documentation](/dotnet/api/overview/azure/ai.metricsadvisor-readme) | [Library source code](https://github.com/Azure/azure-sdk-for-net/tree/master/sdk/metricsadvisor/Azure.AI.MetricsAdvisor/src) | [Package (NuGet)](https://www.nuget.org/packages/Azure.AI.MetricsAdvisor) | [Samples](https://github.com/Azure/azure-sdk-for-net/tree/master/sdk/metricsadvisor/Azure.AI.MetricsAdvisor/samples/README.md)
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> [!IMPORTANT]
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> Microsoft recommends that you use the most secure authentication flow available. Some of the authentication flows described in this article require a very high degree of trust in the application, and carries risks that are not present in other more secure flows. You should only use this flow when other more secure flows, such as managed identities, aren't viable.
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## Prerequisites
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* Azure subscription - [Create one for free](https://azure.microsoft.com/free/cognitive-services/)

articles/ai-services/metrics-advisor/includes/quickstarts/java.md

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[Reference documentation](https://westus2.dev.cognitive.microsoft.com/docs/services/MetricsAdvisor/) | [Library source code](https://github.com/Azure/azure-sdk-for-java/tree/main/sdk/metricsadvisor/azure-ai-metricsadvisor/src) | [Artifact (Maven)](https://search.maven.org/artifact/com.azure/azure-ai-metricsadvisor) | [Samples](https://github.com/Azure/azure-sdk-for-java/tree/main/sdk/metricsadvisor/azure-ai-metricsadvisor/src/samples)
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> [!IMPORTANT]
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> Microsoft recommends that you use the most secure authentication flow available. Some of the authentication flows described in this article require a very high degree of trust in the application, and carries risks that are not present in other more secure flows. You should only use this flow when other more secure flows, such as managed identities, aren't viable.
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## Prerequisites
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* Azure subscription - [Create one for free](https://azure.microsoft.com/free/cognitive-services/)

articles/ai-services/metrics-advisor/includes/quickstarts/javascript.md

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[Reference documentation](/java/api/overview/azure/ai-metricsadvisor-readme) | [Library source code](https://github.com/Azure/azure-sdk-for-js/blob/master/sdk/metricsadvisor/ai-metrics-advisor/README.md) | [Package (npm)](https://www.npmjs.com/package/@azure/ai-metrics-advisor) | [Samples](https://github.com/Azure/azure-sdk-for-js/tree/main/sdk/metricsadvisor/ai-metrics-advisor/samples/v1/javascript)
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> [!IMPORTANT]
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> Microsoft recommends that you use the most secure authentication flow available. Some of the authentication flows described in this article require a very high degree of trust in the application, and carries risks that are not present in other more secure flows. You should only use this flow when other more secure flows, such as managed identities, aren't viable.
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## Prerequisites
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* Azure subscription - [Create one for free](https://azure.microsoft.com/free/cognitive-services/)

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

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[Reference documentation](https://azuresdkdocs.blob.core.windows.net/$web/python/azure-ai-metricsadvisor/latest/azure.ai.metricsadvisor.html) | [Library source code](https://github.com/Azure/azure-sdk-for-python/blob/master/sdk/metricsadvisor/azure-ai-metricsadvisor/README.md) | [Package (PiPy)](https://pypi.org/project/azure-ai-metricsadvisor/) | [Samples](https://github.com/Azure/azure-sdk-for-python/blob/master/sdk/metricsadvisor/azure-ai-metricsadvisor/samples/README.md)
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> [!IMPORTANT]
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> Microsoft recommends that you use the most secure authentication flow available. Some of the authentication flows described in this article require a very high degree of trust in the application, and carries risks that are not present in other more secure flows. You should only use this flow when other more secure flows, such as managed identities, aren't viable.
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## Prerequisites
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* Azure subscription - [Create one for free](https://azure.microsoft.com/free/cognitive-services/)

articles/ai-services/metrics-advisor/includes/quickstarts/rest-api.md

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* [Python 3.x](https://www.python.org/)
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> [!IMPORTANT]
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> Microsoft recommends that you use the most secure authentication flow available. Some of the authentication flows described in this article require a very high degree of trust in the application, and carries risks that are not present in other more secure flows. You should only use this flow when other more secure flows, such as managed identities, aren't viable.
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## Set up
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The example code for this quickstart will show you how to call the REST API using Python. For specific REST API calls, consult [GitHub Samples](https://github.com/Azure/azure-rest-api-specs/tree/main/specification/cognitiveservices/data-plane/MetricsAdvisor/stable/v1.0/examples)

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