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Microsoft Data & Power BIDP-420T00 Design and implement cloud-native applications with Microsoft Azure Cosmos DB
Design and implement cloud-native apps with Azure Cosmos DB for NoSQL.
4 daysIntermediate34 modulesDP-420T00Microsoft Certified: Azure Cosmos Database Developer Specialty
About this course
Design and implement cloud-native apps with Azure Cosmos DB for NoSQL. Over four days you will plan throughput and storage, configure the SDK, run point, transactional and bulk operations, author complex queries, define indexing policies, move data in and out and add vector search for generative AI, preparing for DP-420.
Curriculum
34 modules
- What is Azure Cosmos DB for NoSQL
- How does Azure Cosmos DB for NoSQL work
- When should you use Azure Cosmos DB for NoSQL
- Explore resources
- Review basic operations
- Understand throughput
- Evaluate throughput requirements
- Evaluate data storage requirements
- Time-to-live (TTL)
- Plan for data retention with time-to-live (TTL)
- Serverless
- Compare serverless vs. provisioned throughput
- Autoscale throughput
- Compare autoscale vs. standard (manual) throughput
- Migrate between standard (manual) and autoscale throughput
- Move data by using Azure Data Factory
- Move data by using a Kafka connector
- Move data by using Stream Analytics
- Move data by using the Azure Cosmos DB Spark connector
- Understand the SDK
- Import from package manager
- Connect to an online account
- Implement client singleton
- Configure connectivity mode
- Enable offline development
- Handle connection errors
- Implement threading and parallelism
- Configure logging
- Understand point operations
- Create documents
- Read a document
- Update documents
- Configure time-to-live (TTL) value for a specific document
- Delete documents
- Create a transactional batch with the SDK
- Review batch operation results with the SDK
- Implement optimistic concurrency control
- Create bulk operations with the SDK
- Review bulk operation caveats
- Implement bulk best practices
- Understand NoSQL query language
- Create queries with NoSQL
- Project query results
- Implement type-checking in queries
- Use built-in functions
- Execute queries in the SDK
- Create cross-product queries
- Implement correlated subqueries
- Implement variables in queries
- Paginate query results
- Configure the Vector Search and storage feature of Azure Cosmos DB NoSQL
- Generate embeddings using Azure OpenAI Service
- Build Generative AI applications with Azure Cosmos DB NoSQL and Python
- Perform vector searches using Azure Cosmos DB for NoSQL from a Generative AI application
- Integrate LangChain orchestration to improve efficiency and code maintainability in a Python Generative AI application
- Understand indexes
- Understand indexing policies
- Review indexing policy strategies
- Customize the indexing policy
- Evaluate composite indexes
- Understand change feed features in the SDK
- Implement a delegate for the change feed processor
- Implement the change feed processor
- Implement the change feed estimator
- Understand Azure Function bindings for Azure Cosmos DB for NoSQL
- Configure function bindings
- Develop function
- Create an indexer for data in Azure Cosmos DB for NoSQL
- Implement a change detection policy
- Manage a data deletion detection policy
- What's the difference between NoSQL and relational databases?
- Identify access patterns for your app
- When to embed or reference data
- Choose a partition key
- Model small lookup entities
- Denormalize data in your model
- Manage referential integrity by using change feed
- Combine multiple entities in the same container
- Denormalize aggregates in the same container
- Finalize the data model
- Understand replication
- Distribute data across regions
- Evaluate the cost of distributing data globally
- Define automatic failover policies
- Perform manual failovers
- Configure SDK region
- Understand consistency models
- Configure default consistency model in the portal
- Change consistency model with the SDK
- Use session tokens
- Understand multi-region write
- Configure multi-region support in the SDK
- Understand conflict resolution policies
- Create custom conflict resolution policy
- Index usage
- Review read-heavy index patterns
- Review write-heavy index patterns
- Module assessment
- Enable indexing metrics
- Analyze indexing metrics results
- Measure query cost
- Measure point operation cost
- Review workloads that benefit from the cache
- Enable integrated cache
- Configure cache staleness
- Understand Azure Monitor
- Measure throughput
- Observe rate-limiting events
- Query logs
- Review common response codes
- Understand transient errors
- Review rate-limiting errors
- Configure Alerts
- Audit security
- Evaluate periodic backup
- Configure continuous backup and recovery
- Perform a point-in-time recovery
- Module assessment
- Implement network-level access control
- Review data encryption options
- Use role-based access control (RBAC)
- Access account resources using Microsoft Entra ID
- Understand Always Encrypted
- Create resources
- Manage index policies
- Configure database or container-provisioned throughput
- Migrate between standard and autoscale throughput
- Change region failover priority
- Initiate failovers
- Module assessment
- Understand Azure Resource Manager resources
- Author Azure Resource Manager templates
- Configure database or container resources
- Configure throughput with an Azure Resource Manager template
- Manage index policies through Azure Resource Manager templates
- Understand transactions in the context of JavaScript SDK
- Author Stored procedures
- Rollback transactions
- Create stored procedures with the JavaScript SDK
- Create user-defined functions
- Create user-defined functions with the SDK
- Add triggers to an operation
- Create and use triggers with the SDK
Who it's for
Developers who build cloud applications on Azure and want to master Cosmos DB.
Before you start
- Knowledge of Microsoft Azure and ability to navigate the Azure portal ( AZ-900T01 Microsoft Azure Fundamentals equivalent)
- Experience writing in an Azure-supported language at the intermediate level. (C#, JavaScript, Python, or Java)
- Ability to write code to connect and perform operations on a SQL or NoSQL database product. (SQL Server, Oracle, MongoDB, Cassandra or similar)
Prepares for
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