Module 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 module, we will explore Azure Cosmos DB and how the SQL API can solve some of the problems presented by modern applications.

Lessons

Introduction to Azure Cosmos DB SQL API
Try Azure Cosmos DB SQL API

Lab : Exercise: Create an Azure Cosmos DB SQL API account

After completing this module, students will be able 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

Module 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 module, you will learn how to prepare and configure an Azure Cosmos DB account and resources for a new solution.

Lessons

Plan Resource Requirements
Configure Azure Cosmos DB SQL API database and containers
Moving data into and out of Azure Cosmos DB SQL API

Lab : Exercise: Configure throughput for Azure Cosmos DB SQL API with the Azure portal

Lab : Exercise: Migrate existing data using Azure Data Factory

After completing this module, students will be able 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

Module 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 module, you will get hands-on with with the .NET SDK for the Azure Cosmos DB SQL API.

Lessons

Use the Azure Cosmos DB SQL API SDK
Configure the Azure Cosmos DB SQL API SDK

Lab : Exercise: Configure the Azure Cosmos DB SQL API SDK for offline development

Lab : Exercise: Connect to Azure Cosmos DB SQL API with the SDK

After completing this module, students will be able 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

Module 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 module, you will use the SDK to manipulate documents either individually or in groups.

Lessons

Implement Azure Cosmos DB SQL API point operations
Perform cross-document transactional operations with the Azure Cosmos DB SQL API
Process bulk data in Azure Cosmos DB SQL API

Lab : Exercise: Create and update documents with the Azure Cosmos DB SQL API SDK

Lab : Exercise: Batch multiple point operations together with the Azure Cosmos DB SQL API SDK

Lab : Exercise: Move multiple documents in bulk with the Azure Cosmos DB SQL API SDK

After completing this module, students will be able 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

Module 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 module, you will learn how to create efficient queries using the SQL query language.

Lessons

Query the Azure Cosmos DB SQL API
Author complex queries with the Azure Cosmos DB SQL API

Lab : Exercise: Paginate cross-product query results with the Azure Cosmos DB SQL API SDK

Lab : Exercise: Execute a query with the Azure Cosmos DB SQL API SDK

After completing this module, students will be able to:

Create and execute a SQL query
Project query results
Use built-in functions in a query
Implement a corelated subquery
Create a cross-product query

Module 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 module, you will learn how to create a custom indexing policy.

Lessons

Define indexes in Azure Cosmos DB SQL API
Customize indexes in Azure Cosmos DB SQL API

Lab : Exercise: Review the default index policy for an Azure Cosmos DB SQL API container with the portal

Lab : Exercise: Configure an Azure Cosmos DB SQL API container's index policy with the portal

After completing this module, students will be able 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

Module 7: Integrate Azure Cosmos DB SQL API with Azure services
Azure Cosmos DB has tight integration available with many other Azure servicers 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 module, we will integrate Azure Cosmos DB with both Azure Functions and Azure Cognitive Search. We will also explore the change feed using the SDK.

Lessons

Consume an Azure Cosmos DB SQL API change feed using the SDK
Handle events with Azure Functions and Azure Cosmos DB SQL API change feed
Search Azure Cosmos DB SQL API data with Azure Cognitive Search

Lab : Exercise: Archive Azure Cosmos DB SQL API data using Azure Functions

Lab : Exercise: Process change feed events using the Azure Cosmos DB SQL API SDK

Lab : Exercise: Archive data using Azure Functions and Azure Cosmos DB SQL API

After completing this module, students will be able 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

Module 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 module, you will model and partition data appropriately for a NoSQL database such as Azure Cosmos DB SQL API.

Lessons

Model and partition your data in Azure Cosmos DB
Optimize databases by using advanced modeling patterns for Azure Cosmos DB

Lab : Exercise: Measure performance for customer entities

Lab : Exercise: Advanced modeling patterns

After completing this module, students will be able 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

Module 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 datacenters that are close to their users. In this module, you will explore how to replicate data and manage consistency across the globe using Azure Cosmos DB SQL API.

Lessons

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 API

Lab : Exercise: Configure consistency models in the portal and the Azure Cosmos DB SQL API SDK

Lab : Exercise: Connect to different regions with the Azure Cosmos DB SQL API SDK

Lab : Exercise: Connect to a multi-region write account with the Azure Cosmos DB SQL API SDK

After completing this module, students will be able 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

Module 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 module, you will explore how to manage indexing policies and edit queries to minimize per-query request unit (RU) cost.

Lessons

Choosing indexes in Azure Cosmos DB SQL API
Optimize queries in Azure Cosmos DB SQL API
Implement integrated cache

Lab : Exercise: Optimize an Azure Cosmos DB SQL API container's index policy for common operations

Lab : Exercise: Optimize an Azure Cosmos DB SQL API container's index policy for a specific query

After completing this module, students will be able 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

Module 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 module, 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.

Lessons

Measure performance in Azure Cosmos DB SQL API
Monitor responses and events in Azure Cosmos DB SQL API
Implementing backup and restore for Azure Cosmos DB SQL API
Implement security in Azure Cosmos DB SQL API

Lab : Exercise: Troubleshoot an application using the Azure Cosmos DB SQL API SDK

Lab : Exercise: Use Azure Monitor to analyze an Azure Cosmos DB SQL API account

Lab : Exercise: Recover a database or container from a recovery point

Lab : Exercise: Store Azure Cosmos DB SQL API account keys in Azure Key Vault

After completing this module, students will be able 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

Module 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 module, 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.

Lessons

Write scripts for Azure Cosmos DB SQL API
Create resource template for Azure Cosmos DB SQL API

Lab : Exercise: Adjust provisioned throughput using an Azure CLI script

Lab : Exercise: Create an Azure Cosmos DB SQL API container using Azure Resource Manager templates

After completing this module, students will be able 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

Module 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 module, you will author JavaScript logic that executes directly inside the database engine.

Lessons

Build multi-item transactions with the Azure Cosmos DB SQL API
Expand query and transaction functionality in Azure Cosmos DB SQL API

Lab : Exercise: Implement and then use a UDF using the SDK

Lab : Exercise: Create a stored procedure with the Azure Portal

After completing this module, students will be able to:

Author stored procedure
Rollback stored procedure transaction
Create UDF
Create pre-* and post-* triggers

DP-420T00: Designing & Implementing Cloud-Native Applications Using Cosmos DB