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

Certification: Microsoft Certified: Azure Cosmos DB Developer Specialty

Dynamics Edge courses and labs are enhanced Instructor-Led Training (ILT) materials designed specifically for live, guided instruction and follow a structured curriculum.

Our materials are intentionally different from Microsoft Learn paths in both structure and flow to better prepare for actual work, answer questions, real-time engagement, and deeper learning.  Microsoft Learn paths are self-paced study resources.

You Will Learn:

• Design and Implement Data Models for Azure Cosmos DB
• Design and Implement Data Distribution Strategies
• Integrate Azure Cosmos DB with Other Azure Services
• Load and Migrate Data into Azure Cosmos DB
• Optimize Performance and Cost of Cosmos DB Solutions
• Implement Security, Availability, and Resilience
• Monitor and Maintain Azure Cosmos DB Solutions

Course outline

Module 1: Introduction to Azure Cosmos DB for NoSQL

• Understand what Azure Cosmos DB for NoSQL is
• Explore how Azure Cosmos DB for NoSQL works
• Identify scenarios for using Azure Cosmos DB for NoSQL
• Compare NoSQL with other Cosmos DB APIs
• Understand global distribution and multi-model support

Module 2: Try Azure Cosmos DB for NoSQL

• Explore Azure Cosmos DB resources in the portal
• Create and configure a NoSQL database
• Perform basic CRUD operations
• Use Data Explorer for interaction
• Review key metrics and monitoring tools

Module 3: Plan Resource Requirements

• Understand throughput and request units (RUs)
• Evaluate throughput needs based on workload
• Estimate data storage requirements
• Configure time-to-live (TTL) for data lifecycle
• Plan for data retention and cost optimization

Module 4: Configure Azure Cosmos DB for NoSQL Database and Containers

• Choose between serverless and provisioned throughput
• Compare autoscale vs. manual throughput
• Configure autoscale settings
• Migrate between throughput models
• Set up containers with partition keys

Module 5: Move Data Into and Out of Azure Cosmos DB for NoSQL

• Use Azure Data Factory for data movement
• Integrate with Kafka connector
• Stream data using Azure Stream Analytics
• Leverage Azure Cosmos DB Spark connector
• Export data for analytics or backup

Module 6: Use the Azure Cosmos DB for NoSQL SDK

• Understand the Azure Cosmos DB SDK
• Import SDK from package manager
• Connect to an online Cosmos DB account
• Implement client singleton pattern
• Configure connectivity mode

Module 7: Configure the Azure Cosmos DB for NoSQL SDK

• Enable offline development with the SDK
• Handle connection errors gracefully
• Implement threading and parallelism
• Configure logging for diagnostics
• Manage SDK configuration settings

Module 8: Implement Azure Cosmos DB for NoSQL Point Operations

• Understand point operations in Cosmos DB
• Create and insert documents
• Read and retrieve documents
• Update and replace documents
• Delete documents and manage TTL

Module 9: Perform Cross-Document Transactional Operations

• Create transactional batches using the SDK
• Execute multiple operations atomically
• Review batch operation results
• Implement optimistic concurrency control
• Handle transactional errors and retries

Module 10: Process Bulk Data in Azure Cosmos DB for NoSQL

• Create bulk operations using the SDK
• Understand limitations of bulk operations
• Apply best practices for bulk processing
• Optimize performance for large datasets
• Monitor and troubleshoot bulk operations

Module 11: Query the Azure Cosmos DB for NoSQL

• Understand the SQL query language used in Cosmos DB
• Create and execute basic SQL queries
• Project and filter query results
• Implement type-checking in queries
• Use built-in functions and execute queries via SDK

Module 12: Author Complex Queries with the Azure Cosmos DB for NoSQL

• Create cross-product queries for advanced scenarios
• Implement correlated subqueries for nested logic
• Use variables within queries for flexibility
• Paginate query results for large datasets
• Optimize complex queries for performance

Module 13: Define Indexes in Azure Cosmos DB for NoSQL

• Understand the purpose and structure of indexes
• Explore default and custom indexing policies
• Review indexing strategies for performance
• Understand index paths and precision
• Evaluate indexing trade-offs for read/write workloads

Module 14: Customize Indexes in Azure Cosmos DB for NoSQL

• Modify indexing policies to suit application needs
• Create and manage composite indexes
• Exclude paths from indexing to reduce RU consumption
• Use spatial and range indexes
• Test and validate custom indexing configurations

Module 15: Consume Change Feed Using the SDK

• Understand change feed and its use cases
• Implement a delegate for the change feed processor
• Set up and run the change feed processor
• Use the change feed estimator for scaling
• Monitor and troubleshoot change feed operations

Module 16: Handle Events with Azure Functions and Change Feed

• Understand Azure Function bindings for Cosmos DB
• Configure input and output bindings
• Develop Azure Functions to process change feed events
• Deploy and test event-driven functions
• Monitor function execution and logs

Module 17: Search Data with Azure Cognitive Search

• Create an indexer for Cosmos DB data
• Configure data source and index definitions
• Implement change detection policies
• Manage data deletion detection policies
• Integrate search results into applications

Module 18: Implement a Non-Relational Data Model

• Differentiate between NoSQL and relational models
• Identify access patterns for your application
• Decide when to embed or reference data
• Choose an effective partition key
• Model small lookup entities efficiently

Module 19: Design a Data Partitioning Strategy

• Denormalize data to optimize performance
• Use change feed to manage referential integrity
• Combine multiple entities in a single container
• Denormalize aggregates for efficient queries
• Finalize and validate the data model

Module 20: Configure Replication and Manage Failovers

• Understand global replication in Cosmos DB
• Distribute data across multiple regions
• Evaluate cost implications of global distribution
• Define and configure automatic failover policies
• Perform manual failovers and test scenarios

Module 21: Use Consistency Models

• Understand the five consistency levels
• Configure default consistency in the portal
• Override consistency per request using SDK
• Use session tokens for session consistency
• Evaluate trade-offs between consistency and performance

Module 22: Configure Multi-Region Write

• Understand benefits of multi-region write
• Enable multi-region write in the portal
• Configure SDK for multi-region support
• Understand and manage conflict resolution policies
• Create custom conflict resolution logic

Module 23: Customize an Indexing Policy

• Understand index usage patterns
• Optimize for read-heavy workloads
• Optimize for write-heavy workloads
• Exclude paths to reduce indexing overhead
• Test indexing policy changes

Module 24: Measure Index Performance

• Enable and use indexing metrics
• Analyze index performance results
• Measure query cost using RU metrics
• Evaluate point operation costs
• Optimize indexing for performance and cost

Module 25: Implement Integrated Cache

• Identify workloads that benefit from caching
• Enable integrated cache in Cosmos DB
• Configure cache staleness settings
• Monitor cache hit/miss rates
• Evaluate performance improvements with caching

Module 26: Measure Performance

• Use Azure Monitor to track performance
• Measure throughput and latency
• Observe rate-limiting and throttling events
• Query diagnostic logs for insights
• Set up performance alerts and dashboards

Module 27: Monitor Responses and Events

• Review common response status codes
• Understand and handle transient errors
• Analyze rate-limiting errors and retries
• Configure alerts for critical events
• Audit security and access logs

Module 28: Implement Backup and Restore

• Evaluate periodic vs. continuous backup options
• Configure backup policies in the portal
• Perform point-in-time recovery operations
• Understand backup retention and costs
• Test and validate restore procedures

Module 29: Implement Security

• Implement network-level access controls
• Review and apply data encryption options
• Use role-based access control (RBAC)
• Integrate with Microsoft Entra ID for identity
• Understand and apply Always Encrypted

Module 30: Write Management Scripts

• Create and manage Cosmos DB resources via scripts
• Automate index policy updates
• Configure throughput settings programmatically
• Migrate between standard and autoscale throughput
• Initiate and manage region failovers

Module 31: Create Resource Templates

• Understand Azure Resource Manager (ARM) resources
• Author ARM templates for Cosmos DB
• Configure databases and containers via templates
• Set throughput and indexing in templates
• Deploy and manage resources using templates

Module 32: Build Multi-Item Transactions

• Understand transaction support in JavaScript SDK
• Author stored procedures for multi-item operations
• Implement rollback logic in transactions
• Test and debug stored procedures
• Use transactions for atomic operations

Module 33: Expand Query and Transaction Functionality

• Create and use user-defined functions (UDFs)
• Integrate UDFs with the SDK
• Add triggers to operations for automation
• Create and manage triggers via SDK
• Extend query logic with custom functions