Merge pull request #265598 from MicrosoftDocs/repo_sync_working_branch

Confirm merge from repo_sync_working_branch to main to sync with https://github.com/MicrosoftDocs/azure-docs (branch main)

Author: Taojunshen

articles/ai-services/document-intelligence/faq.yml

@@ -520,6 +520,14 @@ sections:
 
           Yes. The labeling experience from Studio is open sourced in the [Toolkit repo](https://github.com/microsoft/Form-Recognizer-Toolkit)
 
+      - question: |
+          Why am I receiving 'Form Recognizer Not Found' error when opening my custom project?
+        answer: |
+          Your Document Intelligence resource bound to this custom project may have been deleted or moved to another resource group.  There are two ways to resolve this issue:
+          
+            - Re-create the Document Intelligence resource under the same subscription/resource group with the same name.
+          
+            - Re-create a custom project with the migrated Document Intelligence resource and specify the very same storage account.
 
   - name: Containers
     questions:

articles/ai-services/openai/concepts/models.md

@@ -88,7 +88,7 @@ See [model versions](../concepts/model-versions.md) to learn about how Azure Ope
 > Version `0314` of `gpt-4` and `gpt-4-32k` will be retired no earlier than July 5, 2024.  Version `0613` of `gpt-4` and `gpt-4-32k` will be retired no earlier than September 30, 2024.  See [model updates](../how-to/working-with-models.md#model-updates) for model upgrade behavior.
 
 
-GPT-4 version 0125-preview is an updated version of the GPT-4 Turbo preview previously released as version 1106-preview.  GPT-4 versio 0125-preview completes tasks such as code generation more completely compared to gpt-4-1106-preview.  Because of this, depending on the task, customers may find that GPT-4-0125-preview generates more output compared to the gpt-4-1106-preview.  We recommend customers compare the outputs of the new model.  GPT-4-0125-preview also addresses bugs in gpt-4-1106-preview with UTF-8 handling for non-English languages. 
+GPT-4 version 0125-preview is an updated version of the GPT-4 Turbo preview previously released as version 1106-preview.  GPT-4 version 0125-preview completes tasks such as code generation more completely compared to gpt-4-1106-preview.  Because of this, depending on the task, customers may find that GPT-4-0125-preview generates more output compared to the gpt-4-1106-preview.  We recommend customers compare the outputs of the new model.  GPT-4-0125-preview also addresses bugs in gpt-4-1106-preview with UTF-8 handling for non-English languages. 
 
 > [!IMPORTANT]
 >

articles/firewall/deploy-cli.md

@@ -45,7 +45,7 @@ If you prefer, you can complete this procedure using the [Azure portal](tutorial
 
 [!INCLUDE [azure-cli-prepare-your-environment.md](~/articles/reusable-content/azure-cli/azure-cli-prepare-your-environment.md)]
 
-- This article requires version 2.0.4 or later of the Azure CLI. If using Azure Cloud Shell, the latest version is already installed.
+- This article requires version 2.55.0 or later of the Azure CLI. If using Azure Cloud Shell, the latest version is already installed.
 
 ## Set up the network
 

articles/iot-central/core/howto-manage-users-roles-with-rest-api.md

@@ -58,6 +58,9 @@ The response to this request looks like the following example that includes the
 }
 ```
 
+>[!NOTE]
+>This command only shows roles that are associated with an application and not a custom organization level role.
+
 ## Manage users
 
 The REST API lets you:

articles/postgresql/flexible-server/generative-ai-azure-openai.md

@@ -34,7 +34,7 @@ select azure_ai.set_setting('azure_openai.subscription_key', '<API Key>');
 
 ## `azure_openai.create_embeddings`
 
-Invokes the Azure Open AI API to create embeddings using the provided deployment over the given input.
+Invokes the Azure OpenAI API to create embeddings using the provided deployment over the given input.
 
 ```postgresql
 azure_openai.create_embeddings(deployment_name text, input text, timeout_ms integer DEFAULT 3600000, throw_on_error boolean DEFAULT true)

articles/security/fundamentals/shared-responsibility.md

@@ -13,7 +13,7 @@ ms.author: terrylan
 ---
 # Shared responsibility in the cloud
 
-As you consider and evaluate public cloud services, it's critical to understand the shared responsibility model and which security tasks the cloud provider handles and which tasks you handle. The workload responsibilities vary depending on whether the workload is hosted on Software as a Service (SaaS), Platform as a Service (PaaS), Infrastructure as a Service (IaaS), or in an on-premises datacenter
+As you consider and evaluate public cloud services, it's critical to understand the shared responsibility model and which security tasks the cloud provider handles and which tasks you handle. The workload responsibilities vary depending on whether the workload is hosted on Software as a Service (SaaS), Platform as a Service (PaaS), Infrastructure as a Service (IaaS), or in an on-premises datacenter.
 
 ## Division of responsibility
 In an on-premises datacenter, you own the whole stack. As you move to the cloud some responsibilities transfer to Microsoft. The following diagram illustrates the areas of responsibility between you and Microsoft, according to the type of deployment of your stack.

articles/synapse-analytics/spark/apache-spark-24-runtime.md

@@ -16,10 +16,10 @@ Azure Synapse Analytics supports multiple runtimes for Apache Spark. This docume
 
 > [!WARNING]
 > End of Support Notification for Azure Synapse Runtime for Apache Spark 2.4
-> * Effective September 29, 2023, the Azure Synapse will discontinue official support for Spark 2.4 Runtimes. 
+> * Effective September 29, 2023, Azure Synapse will discontinue official support for Spark 2.4 Runtimes. 
 > * Post September 29, we will not be addressing any support tickets related to Spark 2.4. There will be no release pipeline in place for bug or security fixes for Spark 2.4. Utilizing Spark 2.4 post the support cutoff date is undertaken at one's own risk. We strongly discourage its continued use due to potential security and functionality concerns.
 > * Recognizing that certain customers may need additional time to transition to a higher runtime version, we are temporarily extending the usage option for Spark 2.4, but we will not provide any official support for it.
-> * We strongly advise to proactively upgrade their workloads to a more recent version of the runtime (e.g., [Azure Synapse Runtime for Apache Spark 3.3 (GA)](./apache-spark-33-runtime.md)).
+> * We strongly advise proactively upgrading workloads to a more recent version of the runtime (e.g., [Azure Synapse Runtime for Apache Spark 3.3 (GA)](./apache-spark-33-runtime.md)).
 
 
 ## Component versions

articles/synapse-analytics/spark/apache-spark-3-runtime.md

@@ -19,7 +19,7 @@ Azure Synapse Analytics supports multiple runtimes for Apache Spark. This docume
 > * Effective January 26, 2024, the Azure Synapse has stopped official support for Spark 3.1 Runtimes.
 > * Post January 26, 2024, we will not be addressing any support tickets related to Spark 3.1. There will be no release pipeline in place for bug or security fixes for Spark 3.1. Utilizing Spark 3.1 post the support cutoff date is undertaken at one's own risk. We strongly discourage its continued use due to potential security and functionality concerns.
 > * Recognizing that certain customers may need additional time to transition to a higher runtime version, we are temporarily extending the usage option for Spark 3.1, but we will not provide any official support for it.
-> * We strongly advise to proactively upgrade their workloads to a more recent version of the runtime (e.g., [Azure Synapse Runtime for Apache Spark 3.3 (GA)](./apache-spark-33-runtime.md)).
+> * We strongly advise proactively upgrading workloads to a more recent version of the runtime (e.g., [Azure Synapse Runtime for Apache Spark 3.3 (GA)](./apache-spark-33-runtime.md)).
 
 
 ## Component versions

articles/synapse-analytics/spark/microsoft-spark-utilities.md

@@ -597,6 +597,9 @@ run(path: String, timeoutSeconds: int, arguments: Map): String -> This method ru
 
 ```
 
+> [!NOTE]
+> Notebook utilities aren't applicable for Apache Spark job definitions (SJD).
+
 ### Reference a notebook
 Reference a notebook and returns its exit value. You can run nesting function calls in a notebook interactively or in a pipeline. The notebook being referenced will run on the Spark pool of which notebook calls this function.