PG fixes and recommendations

Author: MScalopez

learn-pr/wwl-data-ai/get-started-cosmos-db-nosql-fabric/4-build-operational-workloads-cosmos-db-nosql-fabric.yml

@@ -1,5 +1,5 @@
 ### YamlMime:ModuleUnit
-uid: learn-wwl.learn-wwl.get-started-cosmos-db-nosql-fabric.4-build-operational-workloads-cosmos-db-nosql-fabric
+uid: learn-wwl.learn-wwl.get-started-cosmos-db-nosql-fabric.build-operational-workloads-cosmos-db-nosql-fabric
 title: Introduction
 metadata:
   title: Build operational workloads with Cosmos DB NoSQL in Fabric

learn-pr/wwl-data-ai/get-started-cosmos-db-nosql-fabric/6-cosmos-db-nosql-fabric-analytical-endpoint.yml

@@ -0,0 +1,13 @@
+### YamlMime:ModuleUnit
+uid: learn-wwl.learn-wwl.get-started-cosmos-db-nosql-fabric.cosmos-db-nosql-fabric-analytical-endpoint
+title: Introduction
+metadata:
+  title: Analyze data with the analytical endpoint in Cosmos DB NoSQL in Fabric
+  description: "Learn how the analytical endpoint in Cosmos DB NoSQL in Fabric enables scalable data analysis through OneLake replication and semantic model integration."
+  ms.date: 04/15/2025
+  author: wwlpublish
+  ms.author: calopez
+  ms.topic: unit
+durationInMinutes: 5
+content: |
+  [!include[](includes/6-cosmos-db-nosql-fabric-analytical-endpoint.md)]

learn-pr/wwl-data-ai/get-started-cosmos-db-nosql-fabric/6-integrate-cosmos-db-nosql-fabric-services.yml

@@ -26,6 +26,6 @@ Throughput is handled automatically and no other configuration is needed. Fabric
 > Multi-region writes and reads aren't supported in public preview.
 
 > [!NOTE]
-> In public preview, we don’t yet support vector search for AI scenarios, reverse-ETL with Spark connector or real-time intelligence (RTI).
+> In public preview, we don’t yet support reverse-ETL with Spark connector or real-time intelligence (RTI).
 
 Cosmos DB NoSQL in Fabric delivers the no-knob, best-performance available, 5 seconds to start, 5 minutes to WOW Fabric experience.

learn-pr/wwl-data-ai/get-started-cosmos-db-nosql-fabric/includes/2-understand-cosmos-db-nosql-fabric.md

@@ -0,0 +1,13 @@
+# Build Operational Workloads in Cosmos DB NoSQL in Fabric
+
+Cosmos DB NoSQL in Fabric is designed to support operational workloads that require fast, scalable, and secure access to data. In this unit, you explore how Cosmos DB NoSQL in Fabric can be used in various real-world scenarios to support application development and data-driven solutions. Let's review a few examples of how Cosmos DB NoSQL in Fabric can be used to build operational workloads.
+
+## Scenario: AI-Powered knowledge assistant
+
+A product team wants to build a knowledge assistant that can help employees find relevant information from internal documentation. They store product manuals, support articles, and chat transcripts as JSON documents in Cosmos DB NoSQL in Fabric. The team would then add vector indexing, allowing the assistant to retrieve semantically similar documents based on a user’s query. The vector indexes enable the assistant to return relevant content quickly and accurately. The team benefits from fast iteration and deployment, and mirrored data in OneLake supports usage analytics and content optimization.
+
+## Scenario: Customer profile store
+
+A financial services provider builds a customer profile store using Cosmos DB NoSQL in Fabric. Each profile includes transaction history, preferences, and risk scores. The application queries this data to personalize offers and detect unusual activity. The database supports flexible document structures and fast access to customer data. Mirrored data is used to analyze customer behavior and improve service delivery.
+
+These examples are just a few of the many ways Cosmos DB NoSQL in Fabric can be used to build operational workloads. The service's flexibility, performance, and integration with other Fabric services make it a powerful tool for developers and data engineers.

learn-pr/wwl-data-ai/get-started-cosmos-db-nosql-fabric/includes/4-build-operational-workloads-cosmos-db-nosql-fabric.md

@@ -22,12 +22,6 @@ Cosmos DB NoSQL in Fabric automatically encrypts data at rest. For extra control
 
 Databases are also configured with zone-redundancy by default. This setup includes built-in high availability and disaster recovery (HADR), with data replicated across Fabric paired regions through OneLake.
 
-## Backup and restore
-
-Cosmos DB NoSQL in Fabric is backed up continuously. You can restore the database to a specific point in time, with backups retained for up to 30 days.
-
 ## Monitoring and metrics
 
 The Cosmos DB NoSQL database experience in Fabric includes built-in metrics. Users can view operation counts by type, latency trends, and other integrated metrics directly in the database user experience (UX).
-
-To track usage costs, the Capacity metrics app provides detailed insights into Cosmos DB consumption within Fabric.

learn-pr/wwl-data-ai/get-started-cosmos-db-nosql-fabric/includes/5-secure-monitor-cosmos-db-nosql-fabric.md

@@ -0,0 +1,9 @@
+Cosmos DB NoSQL in Fabric includes an analytical endpoint that enables users to analyze operational data using Microsoft Fabric’s integrated tools. This capability is made possible through OneLake replication, which creates a read-optimized copy of Cosmos DB data for downstream analytics.
+
+Rather than connecting directly to the operational database, the analytical endpoint provides access to replicated data that is structured for reporting and exploration. This design supports scalable analytics without impacting transactional workloads.
+
+The replicated data is exposed through semantic models, which define the structure and fields available for analysis. These models are surfaced via the SQL analytics endpoint and become discoverable in the OneLake data hub. Once available, they can be used across the Fabric ecosystem, including in Power BI and Spark notebooks.
+
+This approach allows users to build reports, explore data, and generate insights using familiar tools—without needing to manage infrastructure or move data manually. It also ensures consistency across analytics experiences by aligning Cosmos DB NoSQL data with the broader Fabric data model.
+
+The analytical endpoint is designed to work seamlessly with the Cosmos DB NoSQL in Fabric experience. The endpoint provides efficient data access for both operational and analytical workloads, allowing users to focus on building rich data driven applications and insights, without the need for complex data management tasks. This integration simplifies the process of building data-driven applications and insights, enabling users to focus on analysis rather than data management.

learn-pr/wwl-data-ai/get-started-cosmos-db-nosql-fabric/includes/6-cosmos-db-nosql-fabric-analytical-endpoint.md

@@ -40,7 +40,7 @@ units:
 - learn-wwl.learn-wwl.get-started-cosmos-db-nosql-fabric.create-explore-cosmos-db-nosql-fabric-database
 - learn-wwl.learn-wwl.get-started-cosmos-db-nosql-fabric.build-operational-workloads-cosmos-db-nosql-fabric
 - learn-wwl.learn-wwl.get-started-cosmos-db-nosql-fabric.secure-monitor-cosmos-db-nosql-fabric
-- learn-wwl.learn-wwl.get-started-cosmos-db-nosql-fabric.integrate-cosmos-db-nosql-fabric-services
+- learn-wwl.learn-wwl.get-started-cosmos-db-nosql-fabric.cosmos-db-nosql-fabric-analytical-endpoint
 - learn-wwl.learn-wwl.get-started-cosmos-db-nosql-fabric.exercise-create-populate-query-cosmos-db-nosql-fabric-database
 - learn-wwl.learn-wwl.get-started-cosmos-db-nosql-fabric.knowledge-check
 - learn-wwl.learn-wwl.get-started-cosmos-db-nosql-fabric.summary