4.9
Course Overview
The “Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB” course by Microsoft is crafted to provide a deep understanding of how to build and deploy scalable, highly available, and performant cloud-native applications using Azure Cosmos DB. The course begins by introducing the core concepts and features of Azure Cosmos DB, including its globally distributed, multi-model capabilities and its support for various data models such as document, key-value, graph, and column-family.
Participants will explore how to leverage Cosmos DB’s features for designing resilient architectures that can handle large volumes of data and high request rates. The course covers practical aspects of data modeling, query optimization, and partitioning strategies, helping students to effectively structure their data for optimal performance and scalability.
Additionally, the course emphasizes the importance of understanding consistency models and how they impact application performance and user experience. Students will learn how to choose the appropriate consistency level based on their application’s requirements and how to manage and monitor their Cosmos DB instances to ensure they meet performance and reliability goals.
Learning Options
Schedule Dates
DP-420T00: Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB
DP-420T00: Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB
DP-420T00: Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB
DP-420T00: Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB
Course Content
- Introduction to Azure Cosmos DB SQL API
- Try Azure Cosmos DB SQL API
- Create an Azure Cosmos DB SQL API account- Lab
- Plan Resource Requirements
- Configure Azure Cosmos DB SQL API database and containers
- Exercise: Configure throughput for Azure Cosmos DB SQL API with the Azure portal- Lab
- Exercise: Migrate existing data using Azure Data Factory- Lab
- Use the Azure Cosmos DB SQL API SDK
- Configure the Azure Cosmos DB SQL API SDK
- Configure the Azure Cosmos DB SQL API SDK for offline development- Lab
- Connect to Azure Cosmos DB SQL API with the SDK- Lab
- -> Integrate the Microsoft.Azure.Cosmos SDK library from NuGet
- -> Configure the SDK for offline development
- -> Troubleshoot common connection errors
- -> Configure logging using the SDK
- Implement Azure Cosmos DB SQL API point operations
- Perform cross-document transactional operations with the Azure Cosmos DB SQL API
- Create and update documents with the Azure Cosmos DB SQL API SDK- Lab
- Batch multiple point operations together with the Azure Cosmos DB SQL API SDK - Lab
- Move multiple documents in bulk with the Azure Cosmos DB SQL API SDK-Lab
- ->Perform CRUD operations using the SDK
- -> Configure TTL for a specific document
- -> Implement optimistic concurrency control for an operation
- -> Create a transactional batch and review results
- Author complex queries with the Azure Cosmos DB SQL API
- Query the Azure Cosmos DB SQL API
- Paginate cross-product query results with the Azure Cosmos DB SQL API SDK- Lab
- Execute a query with the Azure Cosmos DB SQL API SDK- Lab
- -> Create and execute a SQL query
- -> Project query results
- -> Use built-in functions in a query
- Define indexes in Azure Cosmos DB SQL API
- Customize indexes in Azure Cosmos DB SQL API
- Review the default index policy for an Azure Cosmos DB SQL API container with the portal - Lab
- Configure an Azure Cosmos DB SQL API container's index policy with the portal - Lab
- -> View and understand the default indexing policy for a SQL API container
- -> Customize the indexing policy for a container
- Handle events with Azure Functions and Azure Cosmos DB SQL API change feed
- Consume an Azure Cosmos DB SQL API change feed using the SDK
- Archive Azure Cosmos DB SQL API data using Azure Functions- Lab
- : Process change feed events using the Azure Cosmos DB SQL API SDK- Lab
- Archive data using Azure Functions and Azure Cosmos DB SQL API- Lab
- -> Process change feed events using the SDK
- -> Implement change feed best practices
- -> Create an Azure Functions input for Azure Cosmos DB
- -> Index Azure Cosmos DB data in Azure Cognitive Search
- Model and partition your data in Azure Cosmos DB
- Optimize databases by using advanced modeling patterns for Azure Cosmos DB
- Measure performance for customer entities- Lab
- : Advanced modeling patterns- Lab
- -> Use change feed to manage referential integrity
- -> Combine multiple entities in a single container
- -> Denormalize aggregated data in a single container
- Configure replication and manage failovers in Azure Cosmos DB
- Use consistency models in Azure Cosmos DB SQL API
- Configure multi-region write in Azure Cosmos DB SQL AP
- Configure consistency models in the portal and the Azure Cosmos DB SQL API SDK- Lab
- : Connect to different regions with the Azure Cosmos DB SQL API SDK- Lab
- Connect to a multi-region write account with the Azure Cosmos DB SQL API SDK- Lab
- Choosing indexes in Azure Cosmos DB SQL API
- Optimize queries in Azure Cosmos DB SQL API
- Optimize an Azure Cosmos DB SQL API container's index policy for common operations- Lab
- Optimize an Azure Cosmos DB SQL API container's index policy for a specific query- Lab
- Measure performance in Azure Cosmos DB SQL API
- Monitor responses and events in Azure Cosmos DB SQL API
- Implement security in Azure Cosmos DB SQL API
- Troubleshoot an application using the Azure Cosmos DB SQL API SDK- Lab
- Use Azure Monitor to analyze an Azure Cosmos DB SQL API account- Lab
- Recover a database or container from a recovery point- Lab
- Write scripts for Azure Cosmos DB SQL API
- Create resource template for Azure Cosmos DB SQL API
- Adjust provisioned throughput using an Azure CLI script- Lab
- Create an Azure Cosmos DB SQL API container using Azure Resource Manager templates -Lab
- -> Manage an indexing policy using the CLI
- -> Configure database or container throughput using the CLI
- -> Identify the three most common resource types for Azure Cosmos DB SQL API accounts
- -> Create and deploy a JSON Azure Resource Manager template for Azure Cosmos DB SQL API
- -> Manage throughput and index policies using JSON or Bicep templates
- Build multi-item transactions with the Azure Cosmos DB SQL API
- Expand query and transaction functionality in Azure Cosmos DB SQL API
- Implement and then use a UDF using the SDK- Lab
- Create a stored procedure with the Azure Portal- Lab
- -> Author stored procedure
- -> Rollback stored procedure transaction
- -> Create UDF
FAQs
The DP-420T00 course by CounselTrain is a comprehensive training program designed to teach developers and IT professionals how to build and manage cloud-native applications using Azure Cosmos DB’s SQL API.
Participants should have a basic understanding of cloud computing, Azure services, and database management concepts.
The course is structured into modules that combine theoretical lessons with practical labs to provide a well-rounded understanding of Azure Cosmos DB.
CounselTrain offers instructor support, a community forum for peer interaction, and customer support for technical or course-related inquiries.
Azure Cosmos DB is a fully managed NoSQL database service designed for modern application development. The course teaches how to effectively use Cosmos DB for cloud-native applications.
Duration
Language
Batch Options
Upcoming Batch
Soft copy of Courseware
Certificate of Course Complition
Experienced and Professional Trainer
Lab and Exercises During Training 
Sample Questions for Exam Prepration
Mock Test on the Last Day of Training 
Exam Registration Guidance 
5-Star Training Environmment