Merge pull request #261107 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/active-directory-b2c/client-credentials-grant-flow.md

@@ -21,7 +21,8 @@ The OAuth 2.0 client credentials grant flow permits an app (confidential client)
 
 In the client credentials flow, permissions are granted directly to the application itself by an administrator. When the app presents a token to a resource, the resource enforces that the app itself has authorization to perform an action since there's no user involved in the authentication. This article covers the steps needed to authorize an application to call an API, and how to get the tokens needed to call that API.
 
-**This feature is in public preview.**
+> [!NOTE]
+> **This feature is in public preview.**
 
 ## App registration overview
 

articles/active-directory-b2c/string-transformations.md

@@ -217,16 +217,16 @@ Determines whether a claim value is equal to the input parameter value. Check ou
 
 ### Example of CompareClaimToValue
 
-Use this claims transformation to check if a claim is equal to a value you specified. For example, the following claims transformation checks if the value of the **termsOfUseConsentVersion** claim is equal to `v1`.
+Use this claims transformation to check if a claim is equal to a value you specified. For example, the following claims transformation checks if the value of the **termsOfUseConsentVersion** claim is equal to `V2`.
 
 ```xml
 <ClaimsTransformation Id="IsTermsOfUseConsentRequiredForVersion" TransformationMethod="CompareClaimToValue">
   <InputClaims>
     <InputClaim ClaimTypeReferenceId="termsOfUseConsentVersion" TransformationClaimType="inputClaim1" />
   </InputClaims>
   <InputParameters>
-    <InputParameter Id="compareTo" DataType="string" Value="V1" />
-    <InputParameter Id="operator" DataType="string" Value="not equal" />
+    <InputParameter Id="compareTo" DataType="string" Value="V2" />
+    <InputParameter Id="operator" DataType="string" Value="NOT EQUAL" />
     <InputParameter Id="ignoreCase" DataType="string" Value="true" />
   </InputParameters>
   <OutputClaims>
@@ -238,8 +238,8 @@ Use this claims transformation to check if a claim is equal to a value you speci
 - Input claims:
   - **inputClaim1**: v1
 - Input parameters:
-  - **compareTo**: V1
-  - **operator**: EQUAL
+  - **compareTo**: V2
+  - **operator**: NOT EQUAL
   - **ignoreCase**:  true
 - Output claims:
   - **outputClaim**: true

articles/ai-services/Anomaly-Detector/includes/quickstarts/anomaly-detector-client-library-csharp-multivariate.md

@@ -174,6 +174,7 @@ internal class Program
                 Console.WriteLine(string.Format("Result ID: {0}", result.ResultId.ToString()));
                 Console.WriteLine(string.Format("Result summary: {0}", result.Summary.ToString()));
                 Console.WriteLine(string.Format("Result length: {0}", result.Results.Count));
+                Console.WriteLine(string.Format("Anomalies found: {0}", result.Results.Where(r => r.Value.IsAnomaly).Count()));
             }
 
             // delete
@@ -215,11 +216,11 @@ internal class Program
                 // Wait until the model is ready. It usually takes several minutes
                 ModelStatus? model_status = null;
                 int tryout_count = 1;
-                response = client.GetMultivariateModelValue(trained_model_id);
+                response = client.GetMultivariateModel(trained_model_id);
                 while (tryout_count < max_tryout & model_status != ModelStatus.Ready & model_status != ModelStatus.Failed)
                 {
                     Thread.Sleep(1000);
-                    response = client.GetMultivariateModelValue(trained_model_id);
+                    response = client.GetMultivariateModel(trained_model_id);
                     model_status = response.ModelInfo.Status;
                     Console.WriteLine(string.Format("try {0}, model_id: {1}, status: {2}.", tryout_count, trained_model_id, model_status));
                     tryout_count += 1;
@@ -267,13 +268,13 @@ internal class Program
                 Console.WriteLine(string.Format("result id is: {0}", result_id));
 
                 // get detection result
-                MultivariateDetectionResult resultResponse = client.GetMultivariateBatchDetectionResultValue(result_id);
+                MultivariateDetectionResult resultResponse = client.GetMultivariateBatchDetectionResult(result_id);
                 MultivariateBatchDetectionStatus result_status = resultResponse.Summary.Status;
                 int tryout_count = 0;
                 while (tryout_count < max_tryout & result_status != MultivariateBatchDetectionStatus.Ready & result_status != MultivariateBatchDetectionStatus.Failed)
                 {
                     Thread.Sleep(1000);
-                    resultResponse = client.GetMultivariateBatchDetectionResultValue(result_id);
+                    resultResponse = client.GetMultivariateBatchDetectionResult(result_id);
                     result_status = resultResponse.Summary.Status;
                     Console.WriteLine(string.Format("try: {0}, result id: {1} Detection status is {2}", tryout_count, result_id, result_status.ToString()));
                     Console.Out.Flush();

articles/ai-services/openai/reference.md

@@ -661,7 +661,7 @@ POST https://{your-resource-name}.openai.azure.com/openai/deployments/{deploymen
 
 | Parameter | Type | Required? | Default | Description |
 |--|--|--|--|--|
-| `prompt` | string | Required |  | A text description of the desired image(s). The maximum length is 1000 characters. |
+| `prompt` | string | Required |  | A text description of the desired image(s). The maximum length is 4000 characters. |
 | `n` | integer | Optional | 1 | The number of images to generate. Only `n=1` is supported for DALL-E 3. |
 | `size` | string | Optional | `1024x1024` | The size of the generated images. Must be one of `1792x1024`, `1024x1024`, or `1024x1792`. |
 | `quality` | string | Optional | `standard` | The quality of the generated images. Must be `hd` or `standard`. |