Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB (DP-420T00)

1. Get started with Azure Cosmos DB SQL API
   Modern apps thrive on real-time data from different sources and shaped in different forms. These apps require a modern database that can handle the variety and velocity of data that will be thrown at it. In this lesson, we will explore Azure Cosmos DB and how the SQL API can solve some of the problems presented by modern applications.
   1. Introduction to Azure Cosmos DB SQL API
   2. Try Azure Cosmos DB SQL API
   3. On completing this lesson, you will have learned to:
      • Evaluate whether Azure Cosmos DB SQL API is the right database for your application
      • Describe how the features of the Azure Cosmos DB SQL API are appropriate for modern applications
      • Create a new Azure Cosmos DB SQL API account
      • Create database, container, and item resources for an Azure Cosmos DB SQL API account
2. Plan and implement Azure Cosmos DB SQL API
   Creating a new Azure Cosmos DB account often requires making a lot of configuration choices that can, at first, be daunting. While the defaults fit a lot of scenarios, it makes the most sense to familiarize yourself with the configuration options to ensure that your account and resources are optimally configured for your solution. In this lesson, you will learn how to prepare and configure an Azure Cosmos DB account and resources for a new solution.
   1. Plan Resource Requirements
   2. Configure Azure Cosmos DB SQL API database and containers
   3. Moving data into and out of Azure Cosmos DB SQL API
   4. On completing this lesson, you will have learned to:
      • Evaluate various requirements of your application
      • Plan for scale and retention requirements
      • Configure throughput allocation
      • Configure time-to-live values
      • Migrate data using Azure services
      • Migrate data using Spark or Kafka
3. Connect to Azure Cosmos DB SQL API with the SDK
   There are various SDKs available to connect to the Azure Cosmos DB SQL API from many popular programming languages including, but not limited to .NET (C#), Java, Python, and JavaScript (Node.js). In this lesson, you will get hands-on with with the .NET SDK for the Azure Cosmos DB SQL API.
   1. Use the Azure Cosmos DB SQL API SDK
   2. Configure the Azure Cosmos DB SQL API SDK
   3. On completing this lesson, you will have learned to:
      • Integrate the Microsoft.Azure.Cosmos SDK library from NuGet
      • Connect to an Azure Cosmos DB SQL API account using the SDK and .NET
      • Configure the SDK for offline development
      • Troubleshoot common connection errors
      • Implement parallelism in the SDK
      • Configure logging using the SDK
4. Access and manage data with the Azure Cosmos DB SQL API SDKs
   The SQL API SDK for Azure Cosmos DB is used to perform various point operations, perform transactions, and to process bulk data. In this lesson, you will use the SDK to manipulate documents either individually or in groups.
   1. Implement Azure Cosmos DB SQL API point operations
   2. Perform cross-document transactional operations with the Azure Cosmos DB SQL API
   3. Process bulk data in Azure Cosmos DB SQL API
   4. On completing this lesson, you will have learned to:
      • 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
      • Create a bulk operation
      • Review the results of a bulk operation
      • Implement bulk operation best practices
5. Execute queries in Azure Cosmos DB SQL API
   The Azure Cosmos DB SQL API supports Structured Query Language (SQL) as a JSON query language. In this lesson, you will learn how to create efficient queries using the SQL query language.
   1. Query the Azure Cosmos DB SQL API
   2. Author complex queries with the Azure Cosmos DB SQL API
   3. On completing this lesson, you will have learned to:
      • Create and execute a SQL query
      • Project query results
      • Use built-in functions in a query
      • Implement a correlated subquery
      • Create a cross-product query
6. Define and implement an indexing strategy for Azure Cosmos DB SQL API
   By default, Azure Cosmos DB automatically indexes all paths of documents stored using the SQL API. This is great for developing new applications as you can create complex queries almost immediately. As your application matures, you can customize your indexing policy to better match the needs of your solution. In this lesson, you will learn how to create a custom indexing policy.
   1. Define indexes in Azure Cosmos DB SQL API
   2. Customize indexes in Azure Cosmos DB SQL API
   3. On completing this lesson, you will have learned to:
      • View and understand the default indexing policy for a SQL API container
      • Customize the indexing policy for a container
      • Use a composite index in an indexing policy
7. Integrate Azure Cosmos DB SQL API with Azure services
   Azure Cosmos DB has tight integration available with many other Azure services such as Azure Functions, Azure Cognitive Search, Azure Event Hubs, Azure Storage, Azure Data Factory, and Azure Stream Analytics. Going even further, you can use the change feed to integrate Azure Cosmos DB with many other services both in and out of Azure. In this lesson, we will integrate Azure Cosmos DB with both Azure Functions and Azure Cognitive Search. We will also explore the change feed using the SDK.
   1. Consume an Azure Cosmos DB SQL API change feed using the SDK
   2. Handle events with Azure Functions and Azure Cosmos DB SQL API change feed
   3. Search Azure Cosmos DB SQL API data with Azure Cognitive Search
   4. On completing this lesson, you will have learned to:
      • Process change feed events using the SDK
      • Implement change feed best practices
      • Create an Azure Functions trigger for Azure Cosmos DB
      • Create an Azure Functions input for Azure Cosmos DB
      • Index Azure Cosmos DB data in Azure Cognitive Search
8. Implement a data modeling and partitioning strategy for Azure Cosmos DB SQL API
   Azure Cosmos DB is both horizontally scalable and nonrelational. To achieve this level of scalability, users need to understand the concepts, techniques, and technologies unique to NoSQL databases for modeling and partitioning data. In this lesson, you will model and partition data appropriately for a NoSQL database such as Azure Cosmos DB SQL API.
   1. Model and partition your data in Azure Cosmos DB
   2. Optimize databases by using advanced modeling patterns for Azure Cosmos DB
   3. On completing this lesson, you will have learned to:
      • Identify application access patterns for an existing application
      • Decide when to embed or reference data
      • Use change feed to manage referential integrity
      • Combine multiple entities in a single container
      • Denormalize aggregated data in a single container
9. Design and implement a replication strategy for Azure Cosmos DB SQL API
   Today's applications are required to be highly responsive and always online. To achieve low latency and high availability, instances of these applications need to be deployed in data centers that are close to their users. In this lesson, you will explore how to replicate data and manage consistency across the globe using Azure Cosmos DB SQL API.
   1. Configure replication and manage failovers in Azure Cosmos DB
   2. Use consistency models in Azure Cosmos DB SQL API
   3. Configure multi-region write in Azure Cosmos DB SQL API
   4. On completing this lesson, you will have learned to:
      • Distribute data across various geographies
      • Define automatic failover policies
      • Perform manual failovers
      • Configure default consistency model
      • Change per-session consistency model
      • Configure multi-region write in the SDK
      • Create a custom conflict resolution policy
10. Optimize query performance in Azure Cosmos DB SQL API
    Azure Cosmos DB offers a rich set of database operations that operate on the items within a container. The cost associated with each of these operations varies based on the CPU, IO, and memory required to complete the operation. In this lesson, you will explore how to manage indexing policies and edit queries to minimize per-query request unit (RU) cost.
    1. Choosing indexes in Azure Cosmos DB SQL API
    2. Optimize queries in Azure Cosmos DB SQL API
    3. Implement integrated cache
    4. On completing this lesson, you will have learned to:
       • Review and compare read-heavy vs. write-heavy index patterns
       • Update indexing policy to optimize index performance
       • Measure cost of a query in request units (RUs)
       • Measure cost of point operations
       • Work with item and query integrated cache
       • Configure integrated cache staleness
11. Administrating and Monitoring tasks for an Azure Cosmos DB SQL API solution
    When you have critical applications and business processes relying on Azure resources such as Azure Cosmos DB, you want to monitor those resources for their availability, performance, and operation. In this lesson, you will explore how to monitor events and performance of an Azure Cosmos DB account. You will also learn how to implement common security measures along with backup and restore in Azure Cosmos DB.
    1. Measure performance in Azure Cosmos DB SQL API
    2. Monitor responses and events in Azure Cosmos DB SQL API
    3. Implementing backup and restore for Azure Cosmos DB SQL API
    4. Implement security in Azure Cosmos DB SQL API
    5. On completing this lesson, you will have learned to:
       • Observe rate-limiting events in a container or database
       • Query resource logs using Azure Monitor
       • Review and observe transient and rate-limiting errors
       • Configure alerts
       • Configure continuous backup and recovery
       • Perform a point-in-time recovery
       • Use role-based access control (RBAC)
       • Access account resources using Azure AD and Microsoft Identity Platform
12. Manage an Azure Cosmos DB SQL API solution using DevOps practices
    Once an Azure Cosmos DB SQL API account is ready to go through a release lifecycle, it's not uncommon for an operations team to attempt to automate the creation of Azure Cosmos DB resources in the cloud. Automation makes it easier to deploy new environments, restore past environments, or scale a service out. In this lesson, you will explore how to use Azure Resource Manager to manage an Azure Cosmos DB account and its child resources using JSON templates, Bicep templates, or the Azure CLI.
    1. Write scripts for Azure Cosmos DB SQL API
    2. Create resource template for Azure Cosmos DB SQL API
    3. On completing this lesson, you will have learned to:
       • View arguments, groups, and subgroups for a specific CLI command
       • Create Azure Cosmos DB accounts, databases, and containers using the CLI
       • Manage an indexing policy using the CLI
       • Configure database or container throughput using the CLI
       • Initiate failovers and manage failover regions 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
       • Create and deploy a Bicep Azure Resource Manager template for Azure Cosmos DB SQL API
       • Manage throughput and index policies using JSON or Bicep templates
13. Create server-side programming constructs in Azure Cosmos DB SQL API
    Azure Cosmos DB provides language-integrated, transactional execution of JavaScript. When using the SQL API in Azure Cosmos DB, you can write stored procedures, triggers, and user-defined functions (UDFs) in the JavaScript language. In this lesson, you will author JavaScript logic that executes directly inside the database engine.
    1. Build multi-item transactions with the Azure Cosmos DB SQL API
    2. Expand query and transaction functionality in Azure Cosmos DB SQL API
    3. On completing this lesson, you will have learned to:
       • Author stored procedure
       • Rollback stored procedure transaction
       • Create UDF
       • Create pre-* and post-* triggers

Course Labs

1. Exercise: Create an Azure Cosmos DB SQL API account
2. Exercise: Configure throughput for Azure Cosmos DB SQL API with the Azure portal
3. Exercise: Migrate existing data using Azure Data Factory
4. Exercise: Configure the Azure Cosmos DB SQL API SDK for offline development
5. Exercise: Connect to Azure Cosmos DB SQL API with the SDK
6. Exercise: Create and update documents with the Azure Cosmos DB SQL API SDK
7. Exercise: Batch multiple point operations together with the Azure Cosmos DB SQL API SDK
8. Exercise: Move multiple documents in bulk with the Azure Cosmos DB SQL API SDK
9. Exercise: Paginate cross-product query results with the Azure Cosmos DB SQL API SDK
10. Exercise: Execute a query with the Azure Cosmos DB SQL API SDK
11. Exercise: Review the default index policy for an Azure Cosmos DB SQL API container with the portal
12. Exercise: Configure an Azure Cosmos DB SQL API container's index policy with the portal
13. Exercise: Archive Azure Cosmos DB SQL API data using Azure Functions
14. Exercise: Process change feed events using the Azure Cosmos DB SQL API SDK
15. Exercise: Archive data using Azure Functions and Azure Cosmos DB SQL API
16. Exercise: Measure performance for customer entities
17. Exercise: Advanced modeling patterns
18. Exercise: Configure consistency models in the portal and the Azure Cosmos DB SQL API SDK
19. Exercise: Connect to different regions with the Azure Cosmos DB SQL API SDK
20. Exercise: Connect to a multi-region write account with the Azure Cosmos DB SQL API SDK
21. Exercise: Optimize an Azure Cosmos DB SQL API container's index policy for common operations
22. Exercise: Optimize an Azure Cosmos DB SQL API container's index policy for a specific query
23. Exercise: Troubleshoot an application using the Azure Cosmos DB SQL API SDK
24. Exercise: Use Azure Monitor to analyze an Azure Cosmos DB SQL API account
25. Exercise: Recover a database or container from a recovery point
26. Exercise: Store Azure Cosmos DB SQL API account keys in Azure Key Vault
27. Exercise: Adjust provisioned throughput using an Azure CLI script
28. Exercise: Create an Azure Cosmos DB SQL API container using Azure Resource Manager templates
29. Exercise: Implement and then use a UDF using the SDK
30. Exercise: Create a stored procedure with the Azure Portal