Merge branch 'MicrosoftDocs:main' into dynamics-tables

Author: batamig

.openpublishing.redirection.defender-for-cloud.json

@@ -920,6 +920,11 @@
             "redirect_url": "/azure/defender-for-cloud/multicloud",
             "redirect_document_id": false
         },
+        {
+            "source_path_from_root": "/articles/defender-for-cloud/defender-for-containers-vulnerability-assessment-elastic.md",
+            "redirect_url": "/azure/defender-for-cloud/agentless-vulnerability-assessment-aws",
+            "redirect_document_id": true
+        },
         {
             "source_path_from_root": "/articles/defender-for-cloud/how-to-migrate-to-built-in.md",
             "redirect_url": "/azure/defender-for-cloud/how-to-transition-to-built-in",

articles/ai-services/content-safety/includes/quickstarts/csharp-quickstart-image.md

@@ -11,7 +11,7 @@ ms.date: 07/04/2023
 ms.author: pafarley
 ---
 
-[Reference documentation](/dotnet/api/overview/azure/ai.contentsafety-readme?view=azure-dotnet) | [Library source code](https://github.com/Azure/azure-sdk-for-net/tree/main/sdk/contentsafety/Azure.AI.ContentSafety) | [Package (NuGet)](https://www.nuget.org/packages/Azure.AI.ContentSafety) | [Samples](https://github.com/Azure-Samples/AzureAIContentSafety/tree/main/dotnet/1.0.0)
+[Reference documentation](/dotnet/api/overview/azure/ai.contentsafety-readme) | [Library source code](https://github.com/Azure/azure-sdk-for-net/tree/main/sdk/contentsafety/Azure.AI.ContentSafety) | [Package (NuGet)](https://www.nuget.org/packages/Azure.AI.ContentSafety) | [Samples](https://github.com/Azure-Samples/AzureAIContentSafety/tree/main/dotnet/1.0.0)
 
 ## Prerequisites
 

articles/ai-services/content-safety/includes/quickstarts/csharp-quickstart-text.md

@@ -11,7 +11,7 @@ ms.date: 07/04/2023
 ms.author: pafarley
 ---
 
-[Reference documentation](/dotnet/api/overview/azure/ai.contentsafety-readme?view=azure-dotnet) | [Library source code](https://github.com/Azure/azure-sdk-for-net/tree/main/sdk/contentsafety/Azure.AI.ContentSafety) | [Package (NuGet)](https://www.nuget.org/packages/Azure.AI.ContentSafety) | [Samples](https://github.com/Azure-Samples/AzureAIContentSafety/tree/main/dotnet/1.0.0)
+[Reference documentation](/dotnet/api/overview/azure/ai.contentsafety-readme) | [Library source code](https://github.com/Azure/azure-sdk-for-net/tree/main/sdk/contentsafety/Azure.AI.ContentSafety) | [Package (NuGet)](https://www.nuget.org/packages/Azure.AI.ContentSafety) | [Samples](https://github.com/Azure-Samples/AzureAIContentSafety/tree/main/dotnet/1.0.0)
 
 ## Prerequisites
 

articles/ai-services/content-safety/includes/quickstarts/python-quickstart-image.md

@@ -19,7 +19,7 @@ ms.author: pafarley
 * An Azure subscription - [Create one for free](https://azure.microsoft.com/free/cognitive-services/) 
 * Once you have your Azure subscription, <a href="https://aka.ms/acs-create"  title="Create a Content Safety resource"  target="_blank">create a Content Safety resource </a> in the Azure portal to get your key and endpoint. Enter a unique name for your resource, select the subscription you entered on the application form, select a resource group, supported region, and supported pricing tier. Then select **Create**.
   * The resource takes a few minutes to deploy. After it finishes, Select **go to resource**. In the left pane, under **Resource Management**, select **Subscription Key and Endpoint**. The endpoint and either of the keys are used to call APIs.
-* [Python 3.7 or later](https://www.python.org/)
+* [Python 3.8 or later](https://www.python.org/)
   * Your Python installation should include [pip](https://pip.pypa.io/en/stable/). You can check if you have pip installed by running `pip --version` on the command line. Get pip by installing the latest version of Python.
 
 [!INCLUDE [Create environment variables](../env-vars.md)]

articles/ai-services/content-safety/whats-new.md

@@ -22,9 +22,9 @@ Learn what's new in the service. These items might be release notes, videos, blo
 
 The Azure AI Content Safety service is now generally available through the following client library SDKs:
 
-- **C#**: [Package](https://www.nuget.org/packages/Azure.AI.ContentSafety) | [API reference](/dotnet/api/overview/azure/ai.contentsafety-readme?view=azure-dotnet) | [Samples](https://github.com/Azure-Samples/AzureAIContentSafety/tree/main/dotnet/1.0.0) | Quickstarts: [Text](./quickstart-text.md), [Image](./quickstart-image.md)
-- **Python**: [Package](https://pypi.org/project/azure-ai-contentsafety/) | [API reference](/python/api/overview/azure/ai-contentsafety-readme?view=azure-python) | [Samples](https://github.com/Azure-Samples/AzureAIContentSafety/tree/main/python/1.0.0) | Quickstarts: [Text](./quickstart-text.md), [Image](./quickstart-image.md)
-- **Java**: [Package](https://oss.sonatype.org/#nexus-search;quick~contentsafety) | [API reference](/java/api/overview/azure/ai-contentsafety-readme?view=azure-java-stable) | [Samples](https://github.com/Azure-Samples/AzureAIContentSafety/tree/main/java/1.0.0) | Quickstarts: [Text](./quickstart-text.md), [Image](./quickstart-image.md)
+- **C#**: [Package](https://www.nuget.org/packages/Azure.AI.ContentSafety) | [API reference](/dotnet/api/overview/azure/ai.contentsafety-readme) | [Samples](https://github.com/Azure-Samples/AzureAIContentSafety/tree/main/dotnet/1.0.0) | Quickstarts: [Text](./quickstart-text.md), [Image](./quickstart-image.md)
+- **Python**: [Package](https://pypi.org/project/azure-ai-contentsafety/) | [API reference](/python/api/overview/azure/ai-contentsafety-readme) | [Samples](https://github.com/Azure-Samples/AzureAIContentSafety/tree/main/python/1.0.0) | Quickstarts: [Text](./quickstart-text.md), [Image](./quickstart-image.md)
+- **Java**: [Package](https://oss.sonatype.org/#nexus-search;quick~contentsafety) | [API reference](/java/api/overview/azure/ai-contentsafety-readme) | [Samples](https://github.com/Azure-Samples/AzureAIContentSafety/tree/main/java/1.0.0) | Quickstarts: [Text](./quickstart-text.md), [Image](./quickstart-image.md)
 - **JavaScript**: [Package](https://www.npmjs.com/package/@azure-rest/ai-content-safety?activeTab=readme) | [API reference](https://www.npmjs.com/package/@azure-rest/ai-content-safety/v/1.0.0) | [Samples](https://github.com/Azure-Samples/AzureAIContentSafety/tree/main/js/1.0.0) | Quickstarts: [Text](./quickstart-text.md), [Image](./quickstart-image.md)
 
 > [!IMPORTANT]

articles/ai-services/language-service/language-detection/how-to/call-api.md

@@ -7,7 +7,7 @@ author: jboback
 manager: nitinme
 ms.service: azure-ai-language
 ms.topic: how-to
-ms.date: 12/19/2023
+ms.date: 01/16/2024
 ms.author: jboback
 ms.custom: language-service-language-detection
 ---
@@ -50,14 +50,19 @@ Analysis is performed upon receipt of the request. Using the language detection
 
 When you get results from language detection, you can stream the results to an application or save the output to a file on the local system.
 
-Language detection will return one predominant language for each document you submit, along with it's [ISO 639-1](https://www.iso.org/standard/22109.html) name, a human-readable name, and a confidence score. A positive score of 1 indicates the highest possible confidence level of the analysis.
+Language detection will return one predominant language for each document you submit, along with it's [ISO 639-1](https://www.iso.org/standard/22109.html) name, a human-readable name, a confidence score, script name and script code according to the [ISO 15924 standard](https://wikipedia.org/wiki/ISO_15924). A positive score of 1 indicates the highest possible confidence level of the analysis.
+
 
 ### Ambiguous content
 
 In some cases it may be hard to disambiguate languages based on the input. You can use the `countryHint` parameter to specify an [ISO 3166-1 alpha-2](https://en.wikipedia.org/wiki/ISO_3166-1_alpha-2) country/region code. By default the API uses "US" as the default country hint. To remove this behavior, you can reset this parameter by setting this value to empty string `countryHint = ""` .
 
 For example, "communication" is common to both English and French and if given with limited context the response will be based on the "US" country/region hint. If the origin of the text is known to be coming from France that can be given as a hint.
 
+> [!NOTE] 
+> Ambiguous content can cause confidence scores to be lower.
+> The `countryHint` in the response is only applicable if the confidence score is less than 0.8.
+
 **Input**
 
 ```json
@@ -76,7 +81,8 @@ For example, "communication" is common to both English and French and if given w
 }
 ```
 
-The language detection model now has additional context to make a better judgment: 
+With the second document, the language detection model has additional context to make a better judgment because it contains the `countryHint` property in the input above. This will return the following output.
+ 
 
 **Output**
 
@@ -129,7 +135,7 @@ If the analyzer can't parse the input, it returns `(Unknown)`. An example is if
         }
     ],
     "errors": [],
-    "modelVersion": "2021-01-05"
+    "modelVersion": "2023-12-01"
 }
 ```
 
@@ -156,22 +162,107 @@ The resulting output consists of the predominant language, with a score of less
 
 ```json
 {
-    "documents": [
-        {
-            "id": "1",
-            "detectedLanguage": {
-                "name": "Spanish",
-                "iso6391Name": "es",
-                "confidenceScore": 0.88
-            },
-            "warnings": []
-        }
-    ],
-    "errors": [],
-    "modelVersion": "2021-01-05"
+    "kind": "LanguageDetectionResults",
+    "results": {
+        "documents": [
+            {
+                "id": "1",
+                "detectedLanguage": {
+                    "name": "Spanish",
+                    "iso6391Name": "es",
+                    "confidenceScore": 0.97,
+                    "script": "Latin",
+                    "scriptCode": "Latn"
+                },
+                "warnings": []
+            }
+        ],
+        "errors": [],
+        "modelVersion": "2023-12-01"
+    }
+}
+```
+
+## Script name and script code
+
+> [!NOTE]
+> * Script detection is currently limited to [select languages](../language-support.md#script-detection).  
+> * The script detection is only available for textual input which is greater than 12 characters in length.
+
+Language detection offers the ability to detect more than one script per language according to the [ISO 15924 standard](https://wikipedia.org/wiki/ISO_15924). Specifically, Language Detection returns two script-related properties:
+
+* `script`: The human-readable name of the identified script
+* `scriptCode`: The ISO 15924 code for the identified script
+
+The output of the API includes the value of the `scriptCode` property for documents that are at least 12 characters or greater in length and matches the list of supported languages and scripts. Script detection is designed to benefit users whose language can be transliterated or written in more than one script, such as Kazakh or Hindi language.
+
+Previously, language detection was designed to detect the language of documents in a wide variety of languages, dialects, and regional variants, but was limited by "Romanization". Romanization refers to conversion of text from one writing system to the Roman (Latin) script, and is necessary to detect many Indo-European languages. However, there are other languages which are written in multiple scripts, such as Kazakh, which can be written in Cyrillic, Perso-Arabic, and Latin scripts. There are also other cases in which users may either choose or are required to transliterate their language in more than one script, such as Hindi transliterated in Latin script, due to the limited availability of keyboards which support its Devanagari script.  
+
+Consequently, language detection's expanded support for script detection behaves as follows:
+
+**Input**
+
+```json
+{ 
+    "kind": "LanguageDetection", 
+    "parameters": { 
+        "modelVersion": "latest" 
+    }, 
+    "analysisInput": { 
+        "documents": [ 
+            { 
+                "id": "1", 
+                "text": "आप कहाँ जा रहे हैं?" 
+            }, 
+            { 
+                "id": "2", 
+                "text": "Туған жерім менің - Қазақстаным" 
+            } 
+        ] 
+    } 
+} 
+```
+
+**Output**
+
+The resulting output consists of the predominant language, along with a script name, script code, and confidence score.
+
+```json
+{ 
+    "kind": "LanguageDetectionResults", 
+    "results": { 
+        "documents": [ 
+            { 
+                "id": "1", 
+                "detectedLanguage": { 
+                    "name": "Hindi", 
+                    "iso6391Name": "hi", 
+                    "confidenceScore": 1.0, 
+                    "script": "Devanagari", 
+                    "scriptCode": "Deva" 
+                }, 
+                "warnings": [] 
+            }, 
+            { 
+                "id": "2", 
+                "detectedLanguage": { 
+                    "name": "Kazakh", 
+                    "iso6391Name": "kk", 
+                    "confidenceScore": 1.0, 
+                    "script": "Cyrillic",  
+                    "scriptCode": "Cyrl" 
+                }, 
+                "warnings": [] 
+            } 
+        ], 
+        "errors": [], 
+        "modelVersion": "2023-12-01" 
+    } 
 }
 ```
 
+
+
 ## Service and data limits
 
 [!INCLUDE [service limits article](../../includes/service-limits-link.md)]

articles/ai-services/language-service/language-detection/how-to/use-containers.md

@@ -7,7 +7,7 @@ author: jboback
 manager: nitinme
 ms.service: azure-ai-language
 ms.topic: how-to
-ms.date: 12/19/2023
+ms.date: 02/12/2024
 ms.author: jboback
 ms.custom: language-service-language-detection
 keywords: on-premises, Docker, container
@@ -35,7 +35,7 @@ The following table describes the minimum and recommended specifications for the
 
 |  | Minimum host specs | Recommended host specs | Minimum TPS | Maximum TPS|
 |---|---------|-------------|--|--|
-| **Language detection**   | 1 core, 2GB memory | 1 core, 4GB memory |15 | 30| 
+| **Language detection**   | 1 core, 5GB memory | 1 core, 8GB memory |15 | 30| 
 
 CPU core and memory correspond to the `--cpus` and `--memory` settings, which are used as part of the `docker run` command.
 

articles/ai-services/language-service/language-detection/includes/quickstarts/rest-api.md

@@ -10,7 +10,7 @@ ms.author: jboback
 
 [Reference documentation](https://go.microsoft.com/fwlink/?linkid=2239169)
 
-Use this quickstart to send language detection requests using the REST API. In the following example, you will use cURL to identify the language that a text sample was written in.
+Use this quickstart to send language detection requests using the REST API. In the following example, you'll use cURL to identify the language that a text sample was written in.
 
 [!INCLUDE [Use Language Studio](../../../includes/use-language-studio.md)]
 
@@ -20,7 +20,7 @@ Use this quickstart to send language detection requests using the REST API. In t
 * Azure subscription - [Create one for free](https://azure.microsoft.com/free/cognitive-services)
 * The current version of [cURL](https://curl.haxx.se/).
 * Once you have your Azure subscription, <a href="https://portal.azure.com/#create/Microsoft.CognitiveServicesTextAnalytics"  title="Create a Language resource"  target="_blank">create a Language resource </a> in the Azure portal to get your key and endpoint. After it deploys, select **Go to resource**.
-    * You will need the key and endpoint from the resource you create to connect your application to the API. You'll paste your key and endpoint into the code below later in the quickstart.
+    * You'll need the key and endpoint from the resource you create to connect your application to the API. You'll paste your key and endpoint into the code below later in the quickstart.
     * You can use the free pricing tier (`Free F0`) to try the service, and upgrade later to a paid tier for production.
 
 > [!NOTE]
@@ -47,7 +47,7 @@ The following cURL commands are executed from a BASH shell. Edit these commands
 [!INCLUDE [REST API quickstart instructions](../../../includes/rest-api-instructions.md)]
 
 ```bash
-curl -i -X POST https://<your-language-resource-endpoint>/language/:analyze-text?api-version=2022-05-01 \
+curl -i -X POST https://<your-language-resource-endpoint>/language/:analyze-text?api-version=2023-11-15-preview \
 -H "Content-Type: application/json" \
 -H "Ocp-Apim-Subscription-Key:<your-language-resource-key>" \
 -d \
@@ -76,19 +76,23 @@ curl -i -X POST https://<your-language-resource-endpoint>/language/:analyze-text
 
 ```json
 {
-	"kind": "LanguageDetectionResults",
-	"results": {
-		"documents": [{
-			"id": "1",
-			"detectedLanguage": {
-				"name": "English",
-				"iso6391Name": "en",
-				"confidenceScore": 1.0
-			},
-			"warnings": []
-		}],
-		"errors": [],
-		"modelVersion": "2022-10-01"
-	}
+    "kind": "LanguageDetectionResults",
+    "results": {
+        "documents": [
+            {
+                "id": "1",
+                "detectedLanguage": {
+                    "name": "English",
+                    "iso6391Name": "en",
+                    "confidenceScore": 1.0,
+                    "script": "Latin",
+                    "scriptCode": "Latn"
+                },
+                "warnings": []
+            }
+        ],
+        "errors": [],
+        "modelVersion": "2023-12-01"
+    }
 }
 ```

articles/ai-services/language-service/language-detection/language-support.md

@@ -162,6 +162,26 @@ If you have content expressed in a less frequently used language, you can try La
 | Telugu              | `te`          |
 | Urdu                | `ur`          |
 
+## Script detection
+
+| Language |Script code	| Scripts |
+| --- | ---	| --- |
+| Bengali (Bengali-Assamese) | `as` | `Latn`, `Beng` |
+| Bengali (Bangla) | `bn` | `Latn`, `Beng` |
+| Gujarati | `gu` | `Latn`, `Gujr` |
+| Hindi | `hi` | `Latn`, `Deva` |
+| Kannada | `kn` | `Latn`, `Knda` |
+| Malayalam | `ml` | `Latn`, `Mlym` |
+| Marathi	| `mr` | `Latn`, `Deva` |
+| Oriya | `or` | `Latn`, `Orya` |
+| Gurmukhi | `pa` | `Latn`, `Guru` |
+| Tamil | `ta` | `Latn`, `Taml` |
+| Telugu | `te` | `Latn`, `Telu` |
+| Arabic | `ur` | `Latn`, `Arab` |
+| Cyrillic | `tt` | `Latn`, `Cyrl` |
+| Serbian `sr` | `Latn`, `Cyrl` |
+| Unified Canadian Aboriginal Syllabics	| `iu` | `Latn`, `Cans` |
+
 ## Next steps
 
 [Language detection overview](overview.md)