Merge pull request #266812 from MicrosoftDocs/main

Publish to Live Wednesday 4AM PST 2/21

Author: PMEds28

articles/ai-services/speech-service/personal-voice-create-consent.md

@@ -22,7 +22,7 @@ To add user consent to the personal voice project, you provide the prerecorded c
 
 You need an audio recording of the user speaking the consent statement.
 
-You can get the consent statement text for each locale from the text to speech GitHub repository. See [SpeakerAuthorization.txt](https://github.com/Azure-Samples/Cognitive-Speech-TTS/blob/master/CustomVoice/script/English%20(United%20States)_en-US/SpeakerAuthorization.txt) for the consent statement for the `en-US` locale:
+You can get the consent statement text for each locale from the text to speech GitHub repository. See [verbal-statement-all-locales.txt](https://github.com/Azure-Samples/Cognitive-Speech-TTS/blob/master/CustomVoice/script/verbal-statement-all-locales.txt) for the consent statement. Below is a sample for the `en-US` locale:
 
 ```
 "I  [state your first and last name] am aware that recordings of my voice will be used by [state the name of the company] to create and use a synthetic version of my voice."

articles/ai-studio/how-to/prompt-flow-tools/prompt-flow-tools-overview.md

@@ -17,25 +17,22 @@ author: lgayhardt
 
 The following table provides an index of tools in prompt flow. 
 
-| Tool name | Description | Environment | Package name |
+| Tool (set) name | Description | Environment | Package name |
 |------|-----------|-------------|--------------|
 | [LLM](./llm-tool.md) | Use Azure OpenAI large language models (LLM) for tasks such as text completion or chat. | Default | [promptflow-tools](https://pypi.org/project/promptflow-tools/) |
 | [Prompt](./prompt-tool.md) | Craft a prompt by using Jinja as the templating language. | Default | [promptflow-tools](https://pypi.org/project/promptflow-tools/) |
 | [Python](./python-tool.md) | Run Python code. | Default | [promptflow-tools](https://pypi.org/project/promptflow-tools/) |
 | [Azure OpenAI GPT-4 Turbo with Vision](./azure-open-ai-gpt-4v-tool.md) | Use AzureOpenAI GPT-4 Turbo with Vision model deployment to analyze images and provide textual responses to questions about them. | Default | [promptflow-tools](https://pypi.org/project/promptflow-tools/) |
 | [Content Safety (Text)](./content-safety-tool.md) | Use Azure AI Content Safety to detect harmful content. | Default | [promptflow-tools](https://pypi.org/project/promptflow-tools/) |
-| [Index Lookup](./index-lookup-tool.md) | Search an Azure Machine Learning Vector Index for relevant results using one or more text queries. | Default | [promptflow-vectordb](https://pypi.org/project/promptflow-vectordb/) |
-| [Vector Index Lookup](./vector-index-lookup-tool.md) | Search text or a vector-based query from a vector index. | Default | [promptflow-vectordb](https://pypi.org/project/promptflow-vectordb/) |
-| [Faiss Index Lookup](./faiss-index-lookup-tool.md) | Search a vector-based query from the Faiss index file. | Default | [promptflow-vectordb](https://pypi.org/project/promptflow-vectordb/) |
-| [Vector DB Lookup](./vector-db-lookup-tool.md) | Search a vector-based query from an existing vector database. | Default | [promptflow-vectordb](https://pypi.org/project/promptflow-vectordb/) |
+| [Index Lookup*](./index-lookup-tool.md) | Search an Azure Machine Learning Vector Index for relevant results using one or more text queries. | Default | [promptflow-vectordb](https://pypi.org/project/promptflow-vectordb/) |
+| [Vector Index Lookup*](./vector-index-lookup-tool.md) | Search text or a vector-based query from a vector index. | Default | [promptflow-vectordb](https://pypi.org/project/promptflow-vectordb/) |
+| [Faiss Index Lookup*](./faiss-index-lookup-tool.md) | Search a vector-based query from the Faiss index file. | Default | [promptflow-vectordb](https://pypi.org/project/promptflow-vectordb/) |
+| [Vector DB Lookup*](./vector-db-lookup-tool.md) | Search a vector-based query from an existing vector database. | Default | [promptflow-vectordb](https://pypi.org/project/promptflow-vectordb/) |
 | [Embedding](./embedding-tool.md) | Use Azure OpenAI embedding models to create an embedding vector that represents the input text. | Default | [promptflow-tools](https://pypi.org/project/promptflow-tools/) |
 | [Serp API](./serp-api-tool.md) | Use Serp API to obtain search results from a specific search engine. | Default | [promptflow-tools](https://pypi.org/project/promptflow-tools/) |
+| [Azure AI Language tools*](https://microsoft.github.io/promptflow/integrations/tools/azure-ai-language-tool.html) | This collection of tools is a wrapper for various Azure AI Language APIs, which can help effectively understand and analyze documents and conversations. The capabilities currently supported include: Abstractive Summarization, Extractive Summarization, Conversation Summarization, Entity Recognition, Key Phrase Extraction, Language Detection, PII Entity Recognition, Conversational PII, Sentiment Analysis, Conversational Language Understanding, Translator. You can learn how to use them by the [Sample flows](https://github.com/microsoft/promptflow/tree/e4542f6ff5d223d9800a3687a7cfd62531a9607c/examples/flows/integrations/azure-ai-language). Support contact: [email protected] | Custom | [promptflow-azure-ai-language](https://pypi.org/project/promptflow-azure-ai-language/) |
 
-The following table shows an index of custom tools created by the community to extend prompt flow's capabilities for specific use cases. They aren't officially maintained or endorsed by prompt flow team. For questions or issues when using a tool, please see the support contact in the description.
-
-| Tool name | Description | Environment | Package name | 
-|-----------|-----------|-------------|--------------|
-| [Azure AI Language tools](https://microsoft.github.io/promptflow/integrations/tools/azure-ai-language-tool.html) | This collection of tools is a wrapper for various Azure AI Language APIs, which can help effectively understand and analyze documents and conversations. The capabilities currently supported include: Abstractive Summarization, Extractive Summarization, Conversation Summarization, Entity Recognition, Key Phrase Extraction, Language Detection, PII Entity Recognition, Conversational PII, Sentiment Analysis, Conversational Language Understanding, Translator. You can learn how to use them by the [Sample flows](https://github.com/microsoft/promptflow/tree/e4542f6ff5d223d9800a3687a7cfd62531a9607c/examples/flows/integrations/azure-ai-language). Support contact: [email protected] | Custom | [promptflow-azure-ai-language](https://pypi.org/project/promptflow-azure-ai-language/) |
+_*The asterisk marks indicate custom tools, which are created by the community that extend prompt flow's capabilities for specific use cases. They aren't officially maintained or endorsed by prompt flow team. When you encounter questions or issues for these tools, please prioritize using the support contact if it is provided in the description._
 
 To discover more custom tools developed by the open-source community, see [More custom tools](https://microsoft.github.io/promptflow/integrations/tools/index.html).
 

articles/azure-netapp-files/azure-netapp-files-network-topologies.md

@@ -73,7 +73,7 @@ Azure NetApp Files volumes are designed to be contained in a special purpose sub
 *   West US 2
 *	West US 3 
 
-<a name="regions-edit-network-features"></a>The option to *[edit network features for existing volumes (preview)](configure-network-features.md#edit-network-features-option-for-existing-volumes)* is supported for the following regions:
+<a name="regions-edit-network-features"></a>The option to *[edit network features for existing volumes](configure-network-features.md#edit-network-features-option-for-existing-volumes)* is supported for the following regions:
 
 * Australia Central
 * Australia Central 2

articles/azure-netapp-files/configure-network-features.md

@@ -73,7 +73,7 @@ This section shows you how to set the network features option when you create a
 
     [ ![Screenshot that shows the Volumes page displaying the network features setting.](./media/configure-network-features/network-features-volume-list.png)](./media/configure-network-features/network-features-volume-list.png#lightbox)
 
-## <a name="edit-network-features-option-for-existing-volumes"></a> Edit network features option for existing volumes (preview)
+## Edit network features option for existing volumes
 
 You can edit the network features option of existing volumes from *Basic* to *Standard* network features. The change you make applies to all volumes in the same *network sibling set* (or *siblings*). Siblings are determined by their network IP address relationship. They share the same NIC for mounting the volume to the client or connecting to the SMB share of the volume. At the creation of a volume, its siblings are determined by a placement algorithm that aims for reusing the IP address where possible. 
 

articles/azure-netapp-files/whats-new.md

@@ -16,6 +16,10 @@ Azure NetApp Files is updated regularly. This article provides a summary about t
 
 ## February 2024
 
+* The [Standard network features - Edit volumes](configure-network-features.md#edit-network-features-option-for-existing-volumes) feature is now generally available (GA).
+
+    You are no longer required to register when you edit the network features option of existing volumes from Basic to Standard network features.
+
 * [Large volumes (Preview) improvement:](large-volumes-requirements-considerations.md#requirements-and-considerations) volume size increase beyond 30% default limit
 
     For capacity and resources planning purposes the Azure NetApp Files large volume feature has a [volume size increase limit of up to 30% of the lowest provisioned size](large-volumes-requirements-considerations.md#requirements-and-considerations). This volume size increase limit is now adjustable beyond this 30% (default) limit via a support ticket. For more information, see [Resource limits](azure-netapp-files-resource-limits.md). 

articles/backup/backup-azure-arm-userestapi-createorupdatepolicy.md

@@ -1,20 +1,23 @@
 ---
-title: Create backup policies using REST API
+title: Create backup policies via REST API in Azure Backup
 description: In this article, you'll learn how to create and manage backup policies (schedule and retention) using REST API.
 ms.topic: how-to
-ms.date: 02/14/2023
+ms.date: 02/21/2024
 ms.assetid: 5ffc4115-0ae5-4b85-a18c-8a942f6d4870
 ms.service: backup
+ms.custom: engagement-fy24
 author: AbhishekMallick-MS
 ms.author: v-abhmallick
 ---
-# Create Azure Recovery Services backup policies using REST API
+# Create Azure Recovery Services backup policies by using REST API
 
-The steps to create a backup policy for an Azure Recovery Services vault are outlined in the [policy REST API document](/rest/api/backup/protection-policies/create-or-update). Let's use this document as a reference to create a policy for Azure VM backup.
+This article describes how to create policies for the backup of Azure VM, SQL database in Azure VM, SAP HANA database in Azure VM, and Azure File share.
+
+Learn more about [creating or modifying a backup policy for an Azure Recovery Services vault by using REST API](/rest/api/backup/protection-policies/create-or-update). 
 
 ## Create or update a policy
 
-To create or update an Azure Backup policy, use the following *PUT* operation
+To create or update an Azure Backup policy, use the following *PUT* operation.
 
 ```http
 PUT https://management.azure.com/Subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.RecoveryServices/vaults/{vaultName}/backupPolicies/{policyName}?api-version=2019-05-13
@@ -24,18 +27,22 @@ The `{policyName}` and `{vaultName}` are provided in the URI. Additional informa
 
 ## Create the request body
 
-For example, to create a policy for Azure VM backup, following are the components of the request body.
+If you want to create a policy for Azure VM backup, the request body needs to have the following components:
 
 |Name  |Required  |Type  |Description  |
 |---------|---------|---------|---------|
 |properties     |   True      |  ProtectionPolicy:[AzureIaaSVMProtectionPolicy](/rest/api/backup/protection-policies/create-or-update#azureiaasvmprotectionpolicy)      | ProtectionPolicyResource properties        |
 |tags     |         | Object        |  Resource tags       |
 
-For the complete list of definitions in the request body, refer to the [backup policy REST API document](/rest/api/backup/protection-policies/create-or-update).
+For the complete list of definitions in the request body, see the [backup policy REST API article](/rest/api/backup/protection-policies/create-or-update).
 
 ### Example request body
 
-#### For Azure VM backup
+This section provides the example request body to create policies for the backup of Azure VM, SQL database in Azure VM, SAP HANA database in Azure VM, and Azure File share.
+
+**Choose a datasource**:
+
+# [Azure VM](#tab/azure-vm)
 
 The following request body defines a standard backup policy for Azure VM backups.
 
@@ -214,9 +221,9 @@ This policy:
 
 
 
-#### For SQL in Azure VM backup
+# [SQL in Azure VM](#tab/sql-in-azure-vm)
 
-The following is an example request body for SQL in Azure VM backup.
+The following request body defines the backup policy for SQL in Azure VM backup.
 
 This policy:
 
@@ -400,9 +407,9 @@ The following is an example of a policy that takes a differential backup everyda
   }
 ```
 
-#### For SAP HANA in Azure VM backup
+# [SAP HANA in Azure VM](#tab/sap-hana-in-azure-vm)
 
-The following is an example request body for SQL in Azure VM backup.
+The following request body defines the policy for SAP HANA database in Azure VM backup.
 
 This policy:
 
@@ -622,9 +629,9 @@ The following is an example of a policy that takes a full backup once a week and
 ```
 
 
-#### For Azure File share backup
+# [Azure File share](#tab/azure-file-share)
 
-The following is an example request body for Azure File share backup.
+The following request body defines the policy for Azure File share backup.
 
 This policy:
 
@@ -675,6 +682,8 @@ This policy:
 
 
 
+---
+
 ## Responses
 
 The backup policy creation/update is a [asynchronous operation](../azure-resource-manager/management/async-operations.md). It means this operation creates another operation that needs to be tracked separately.

articles/cost-management-billing/costs/understand-work-scopes.md

@@ -67,7 +67,7 @@ Cost Management Contributor is the recommended least-privilege role. The role al
 - **Reporting on resource usage** – Cost Management shows cost in the Azure portal. It includes usage as it pertains to cost in the full usage patterns. This report can also show API and download charges, but you may also want to drill into detailed usage metrics in Azure Monitor to get a deeper understanding. Consider granting [Monitoring Reader](../../role-based-access-control/built-in-roles.md#monitoring-reader) on any scope where you also need to report detailed usage metrics.
 - **Act when budgets are exceeded** – Cost Management Contributors also need access to create and manage action groups to automatically react to overages. Consider granting [Monitoring Contributor](../../role-based-access-control/built-in-roles.md#monitoring-contributor) to a resource group that contains the action group to use when budget thresholds are exceeded. Automating specific actions requires more roles for the specific services used, such as Automation and Azure Functions.
 - **Schedule cost data export** – Cost Management Contributors also need access to manage storage accounts to schedule an export to copy data into a storage account. Consider granting [Storage Account Contributor](../../role-based-access-control/built-in-roles.md#storage-account-contributor) to a resource group that contains the storage account where cost data is exported.
-- **Viewing cost-saving recommendations** – Cost Management Readers and Cost Management Contributors have access to *view* cost recommendations by default. However, access to act on the cost recommendations requires access to individual resources. Consider granting a [service-specific role](../../role-based-access-control/built-in-roles.md#all) if you want to act on a cost-based recommendation.
+- **Viewing cost-saving recommendations** – Cost Management Readers and Cost Management Contributors have access to *view* cost recommendations by default. However, access to act on the cost recommendations requires access to individual resources. Consider granting a [service-specific role](../../role-based-access-control/built-in-roles.md) if you want to act on a cost-based recommendation.
 
 > [!NOTE]
 > Management groups aren't currently supported in Cost Management features for Microsoft Customer Agreement subscriptions. The [Cost Details API](/rest/api/cost-management/generate-cost-details-report/create-operation) also doesn't support management groups for either EA or MCA customers.

articles/defender-for-cloud/agentless-malware-scanning.md

@@ -37,9 +37,22 @@ You can learn more about [agentless machine scanning](concept-agentless-data-col
 > [!IMPORTANT]
 > Security alerts appear on the portal only in cases where threats are detected on your environment. If you do not have any alerts it may be because there are no threats on your environment. You can [test to see if the agentless malware scanning capability has been properly onboarded and is reporting to Defender for Cloud](enable-agentless-scanning-vms.md#test-the-agentless-malware-scanners-deployment).
 
-On the Security alerts page, you can [manage and respond to security alerts](managing-and-responding-alerts.md). You can also [review the agentless malware scanner's results](managing-and-responding-alerts.md#review-the-agentless-scans-results). Security alerts can also be [exported to Sentinel](export-to-siem.md).
+### Defender for Cloud security alerts
 
-:::image type="content" source="media/agentless-malware-scanning/agentless-alerts-results.png" alt-text="Screenshot of the Alerts page in Defender for Cloud that shows how the agentless scan's results appear on that page." lightbox="media/agentless-malware-scanning/agentless-alerts-results.png":::
+When a malicious file is detected, Microsoft Defender for Cloud generates a [Microsoft Defender for Cloud security alert](alerts-overview.md#what-are-security-alerts). To see the alert, go to **Microsoft Defender for Cloud** security alerts.
+The security alert contains details and context on the file, the malware type, and recommended investigation and remediation steps. To use these alerts for remediation, you can:
+
+1. View [security alerts](https://portal.azure.com/#view/Microsoft_Azure_Security/SecurityMenuBlade/~/7) in the Azure portal by navigating to **Microsoft Defender for Cloud** > **Security alerts**.
+1. [Configure automations](workflow-automation.md) based on these alerts.
+1. [Export security alerts](alerts-overview.md#exporting-alerts) to a SIEM. You can continuously export security alerts Microsoft Sentinel (Microsoft’s SIEM) using [Microsoft Sentinel connector](../sentinel/connect-defender-for-cloud.md), or another SIEM of your choice.
+
+Learn more about [responding to security alerts](../event-grid/custom-event-quickstart-portal.md#subscribe-to-custom-topic).
+
+### Handling possible false positives
+
+If you believe a file is being incorrectly detected as malware (false positive), you can submit it for analysis through the [sample submission portal](/microsoft-365/security/intelligence/submission-guide). The submitted file will be analyzed by Defender's security analysts. If the analysis report will indicate that the file is in fact clean, then the file will no longer trigger new alerts from now on.
+
+Defender for Cloud allows you to [suppress false positive alerts](alerts-suppression-rules.md). Make sure to limit the suppression rule by using the malware name or file hash.
 
 ## Next steps