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articles/active-directory/cloud-infrastructure-entitlement-management/TOC.yml

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- name: How-to guides
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expanded: true
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items:
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- name: Trial Playbook - Microsoft Entra Permissions Management
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href: permissions-management-trial-playbook.md
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- name: Onboard Permissions Management on the Azure AD tenant
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expanded: true
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items:
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articles/active-directory/cloud-infrastructure-entitlement-management/permissions-management-trial-playbook.md

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articles/app-service/configure-connect-to-azure-storage.md

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- Mapping `/mounts`, `mounts/foo/bar`, `/`, and `/mounts/foo.bar/` to custom-mounted storage is not supported (you can only use /mounts/pathname for mounting custom storage to your web app.)
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- Storage mounts cannot be used together with clone settings option during [deployment slot](deploy-staging-slots.md) creation.
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- Storage mounts are not backed up when you [back up your app](manage-backup.md). Be sure to follow best practices to back up the Azure Storage accounts.
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- Only Azure Files [SMB](../storage/files/files-smb-protocol.md) are supported. Azure Files [NFS](../storage/files/files-nfs-protocol.md) is not currently supported for Linux App Services.
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::: zone-end
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- FTP/FTPS access to mounted storage not supported (use [Azure Storage Explorer](https://azure.microsoft.com/features/storage-explorer/)).
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- Mapping `[C-Z]:\`, `[C-Z]:\home`, `/`, and `/home` to custom-mounted storage is not supported.
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- Storage mounts cannot be used together with clone settings option during [deployment slot](deploy-staging-slots.md) creation.
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- Storage mounts are not backed up when you [back up your app](manage-backup.md). Be sure to follow best practices to back up the Azure Storage accounts.
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- Storage mounts are not backed up when you [back up your app](manage-backup.md). Be sure to follow best practices to back up the Azure Storage accounts.
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> [!NOTE]
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> Ensure ports 80 and 445 are open when using Azure Files with VNET integration.
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- Don't map the custom storage mount to `/tmp` or its subdirectories as this may cause timeout during app startup.
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- Storage mounts cannot be used together with clone settings option during [deployment slot](deploy-staging-slots.md) creation.
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- Storage mounts are not backed up when you [back up your app](manage-backup.md). Be sure to follow best practices to back up the Azure Storage accounts.
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- Only Azure Files [SMB](../storage/files/files-smb-protocol.md) are supported. Azure Files [NFS](../storage/files/files-nfs-protocol.md) is not currently supported for Linux App Services.
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> When VNET integration is used, ensure the following ports are open:
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- [Configure a custom container](configure-custom-container.md?pivots=platform-linux).
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- [Video: How to mount Azure Storage as a local share](https://www.youtube.com/watch?v=OJkvpWYr57Y).
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articles/applied-ai-services/form-recognizer/toc.yml

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- name: Migrate to Form Recognizer v3.0
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displayName: get started, confidence, bounding box, boundingBox, polygon, analyze, AnalyzeResult, train, build, sas, compose, copy
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href: v3-migration-guide.md
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- name: Use the prebuilt-read model
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- name: Use the prebuilt-read model (v3.0)
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displayName: documentAnalysisClient, document analysis client, AnalyzeResult, analyze, output
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href: how-to-guides/use-prebuilt-read.md
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- name: Use SDKs and the REST API (v2.1)
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displayName: formRecognizerClient, form recognizer client, boundingBox, bounding box, begin_analyze
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href: how-to-guides/try-sdk-rest-api.md
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- name: Create SAS tokens for storage containers
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displayName: blob, delegation, shared, explorer
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href: create-sas-tokens.md
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- name: Use SDKs and the REST API (v2.1)
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displayName: formRecognizerClient, form recognizer client, boundingBox, bounding box, begin_analyze
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href: how-to-guides/try-sdk-rest-api.md
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- name: Custom models
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- name: Build a custom model (v3.0)
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href: tutorial-azure-function.md
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- name: Reference
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- name: Azure Form Recognizer REST API v3.0
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- name: Azure Form Recognizer REST API v3.0 (GA)
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- name: REST API v3.0 reference
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href: https://westus.dev.cognitive.microsoft.com/docs/services/form-recognizer-api-2022-08-31/operations/AnalyzeDocument
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- name: Client libraries and SDKs
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- name: Error codes and messages v3.0
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href: v3-error-guide.md
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- name: Supported REST API v3.0 SDKs
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- name: .NET
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href: https://azuresdkdocs.blob.core.windows.net/$web/dotnet/Azure.AI.FormRecognizer/4.0.0-beta.4/index.html
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- name: Python
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href: https://azuresdkdocs.blob.core.windows.net/$web/python/azure-ai-formrecognizer/3.2.0b5/index.html
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href: https://azure.github.io/azure-sdk/releases/latest/dotnet.html
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- name: Java
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href: https://azuresdkdocs.blob.core.windows.net/$web/java/azure-ai-formrecognizer/4.0.0-beta.5/index.html
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- name: JavaScript
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href: https://azuresdkdocs.blob.core.windows.net/$web/javascript/azure-ai-form-recognizer/4.0.0-beta.4/index.html
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- name: Error codes and messages v3.0
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- name: Azure Form Recognizer REST API v2.1
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href: https://azure.github.io/azure-sdk/releases/latest/js.html
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- name: Python
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href: https://azure.github.io/azure-sdk/releases/latest/python.html
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- name: Azure Form Recognizer REST API v2.1 (GA)
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- name: REST API v2.1 reference
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- name: Client libraries and SDKs
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- name: Supported REST API v2.1 SDKs
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- name: JavaScript
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- name: Azure Form Recognizer REST API v2.0
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- name: REST API v2.0 reference
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href: https://westus2.dev.cognitive.microsoft.com/docs/services/form-recognizer-api-v2/operations/AnalyzeWithCustomForm
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- name: SDK guide
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- name: Resources
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- name: Customer spotlight
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- name: Azure roadmap
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href: https://azure.microsoft.com/updates/?product=cognitive-services
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- name: Enterprise readiness
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- name: Region support

articles/azure-monitor/app/javascript-react-plugin.md

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- Application Insights instance (which can be obtained from the `useAppInsightsContext` Hook).
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- Name for the event.
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- Event data object that encapsulates the changes that has to be tracked.
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- skipFirstRun (optional) flag to skip calling the `trackEvent` call on initialization. Default value is set to `true`.
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- skipFirstRun (optional) flag to skip calling the `trackEvent` call on initialization. Default value is set to `true` to mimic more closely the way the non-hook version works. With `useEffect` hooks, the effect is triggered on each value update _including_ the initial setting of the value, thereby starting the tracking too early causing potentially unwanted events to be tracked.
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```javascript
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import React, { useState, useEffect } from "react";

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