Azure AI-200 Learning Lab 01 - ACR Registries & Artifacts 02 - ACR Tasks & CI/CD

06 - Manage containers in Azure Container Apps

07 - Scale Containers in ACA

08 - Deploy Apps on AKS

09 - Configure Apps on AKS

10 - Monitor and Troubleshoot Apps on AKS

11 - Build queries for Azure Cosmos DB for NoSQL

12 - Implement vector search on Azure Cosmos DB for NoSQL

13 - Optimize query performance for Azure Cosmos DB for NoSQL

01 - Introduction 02 - Understand indexes in Azure Cosmos DB 03 - Configure range and composite indexes 04 - Tune vector indexes for embedding workloads 05 - Reduce RU costs with strategic indexing 06 - Choose consistency levels for optimal performance 07 - Exercise: Optimize query performance 08 - Knowledge Check 09 - Summary

13 - Optimize query performance for Azure Cosmos DB for NoSQL

07 - Exercise: Optimize query performance

Hands-on exercise to optimize query performance with vector indexes.

Exercise - Optimize query performance with vector indexes on Azure Cosmos DB for NoSQL

(Content to be added from learning module)

06 - Choose consistency levels for optimal performance

Learn how Azure Cosmos DB consistency levels control trade-offs between data freshness, latency, throughput, and availability.

08 - Knowledge Check

Module assessment for optimizing query performance.

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Exercise - Optimize query performance with vector indexes on Azure Cosmos DB for NoSQL