pull base content,head:wwlpublishsync,into:643bfec09d0a756714f6b02b92fbe3d6-live

Author: wwlpublish

.openpublishing.redirection.json

@@ -21789,6 +21789,11 @@
       "source_path": "learn-pr/wwl-azure/work-with-cosmos-db/7-summary.md",
       "redirect_url": "https://learn.microsoft.com/training/modules/work-with-cosmos-db/8-summary",
       "redirect_document_id": false
+    },
+    {
+      "source_path": "learn-pr/wwl-azure/explore-api-management/8-import-api.md",
+      "redirect_url": "https://learn.microsoft.com/training/modules/explore-api-management/8-exercise-import-api",
+      "redirect_document_id": false
     }
   ]
 }

learn-pr/wwl-azure/deploy-model-batch-endpoint/1-introduction.yml

@@ -4,7 +4,7 @@ title: Introduction
 metadata:
   title: Introduction
   description: "Introduction"
-  ms.date: 11/24/2022
+  ms.date: 04/25/2023
   author: wwlpublish
   ms.author: madiepev
   ms.topic: interactive-tutorial

learn-pr/wwl-azure/deploy-model-batch-endpoint/2-explore-batch-endpoints.yml

@@ -4,7 +4,7 @@ title: Understand and create batch endpoints
 metadata:
   title: Understand and create batch endpoints
   description: "Understand and create batch endpoints"
-  ms.date: 11/24/2022
+  ms.date: 04/25/2023
   author: wwlpublish
   ms.author: madiepev
   ms.topic: interactive-tutorial

learn-pr/wwl-azure/deploy-model-batch-endpoint/3-deploy-your-mlflow-model-batch-endpoint.yml

@@ -4,7 +4,7 @@ title: Deploy your MLflow model to a batch endpoint
 metadata:
   title: Deploy your MLflow model to a batch endpoint
   description: "Deploy your MLflow model to a batch endpoint"
-  ms.date: 11/24/2022
+  ms.date: 04/25/2023
   author: wwlpublish
   ms.author: madiepev
   ms.topic: interactive-tutorial

learn-pr/wwl-azure/deploy-model-batch-endpoint/4-deploy-custom-model-batch-endpoint.yml

@@ -4,7 +4,7 @@ title: Deploy a custom model to a batch endpoint
 metadata:
   title: Deploy a custom model to a batch endpoint
   description: "Deploy a custom model to a batch endpoint"
-  ms.date: 11/24/2022
+  ms.date: 04/25/2023
   author: wwlpublish
   ms.author: madiepev
   ms.topic: interactive-tutorial

learn-pr/wwl-azure/deploy-model-batch-endpoint/5-monitor-batch-endpoints.yml

@@ -4,7 +4,7 @@ title: Invoke and troubleshoot batch endpoints
 metadata:
   title: Invoke and troubleshoot batch endpoints
   description: "Invoke and troubleshoot batch endpoints"
-  ms.date: 11/24/2022
+  ms.date: 04/25/2023
   author: wwlpublish
   ms.author: madiepev
   ms.topic: interactive-tutorial

learn-pr/wwl-azure/deploy-model-batch-endpoint/6-exercise-deploy-mlflow-model-batch-endpoint.yml

@@ -4,7 +4,7 @@ title: Exercise - Deploy an MLflow model to a batch endpoint
 metadata:
   title: Exercise - Deploy an MLflow model to a batch endpoint
   description: "Exercise - Deploy an MLflow model to a batch endpoint"
-  ms.date: 11/24/2022
+  ms.date: 04/25/2023
   author: wwlpublish
   ms.author: madiepev
   ms.topic: interactive-tutorial

learn-pr/wwl-azure/deploy-model-batch-endpoint/7-knowledge-check.yml

@@ -4,7 +4,7 @@ title: Knowledge check
 metadata:
   title: Knowledge check
   description: "Knowledge check"
-  ms.date: 11/24/2022
+  ms.date: 04/25/2023
   author: wwlpublish
   ms.author: madiepev
   ms.topic: interactive-tutorial

learn-pr/wwl-azure/deploy-model-batch-endpoint/8-summary.yml

@@ -4,7 +4,7 @@ title: Summary
 metadata:
   title: Summary
   description: "Summary"
-  ms.date: 11/24/2022
+  ms.date: 04/25/2023
   author: wwlpublish
   ms.author: madiepev
   ms.topic: interactive-tutorial

learn-pr/wwl-azure/deploy-model-batch-endpoint/includes/1-introduction.md

@@ -2,7 +2,7 @@
 
 Imagine you trained a model to predict the product sales. The model has been trained and tracked in Azure Machine Learning. Every month, you want to use the model to forecast the sales for the upcoming month. 
 
-In many production scenarios, long-running tasks that deal with on large amounts of data are performed as **batch** operations. In machine learning, ***batch inferencing*** is used to asynchronously apply a predictive model to multiple cases and write the results to a file or database.
+In many production scenarios, long-running tasks that deal with large amounts of data are performed as **batch** operations. In machine learning, ***batch inferencing*** is used to asynchronously apply a predictive model to multiple cases and write the results to a file or database.
 
 :::image type="content" source="../media/07-02-batch.png" alt-text="Diagram showing a batch inferencing service triggering a batch scoring job.":::