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

Develop a design by storing multiple entity types in the same container; Develop a design by storing multiple related entities in the same document; Develop a model that denormalizes data across documents; Develop a design by referencing between documents; Identify partition key, id, and unique keys; Identify data and associated access patterns; Specify a default time to live (TTL) on a container for a transactional store; Develop a design for versioning documents; Develop a design for document schema versioning

Choose a partitioning strategy based on a specific workload; Choose a partition key; Plan for transactions when choosing a partition key; Evaluate the cost of using a cross-partition query; Calculate and evaluate data distribution based on partition key selection; Calculate and evaluate throughput distribution based on partition key selection; Construct and implement a synthetic partition key; Design and implement a hierarchical partition key; Design partitioning for workloads that require multiple partition keys

Evaluate the throughput and data storage requirements for a specific workload; Choose between serverless, provisioned and free tier; Choose when to use database-level provisioned throughput; Design for granular scale units and resource governance; Evaluate the cost of the global distribution of data

Choose when to distribute data; Define automatic failover policies for regional failure for Azure Cosmos DB for NoSQL; Perform manual failovers to move single master write regions; Choose a consistency model; Identify use cases for different consistency models; Evaluate the impact of consistency model choices on availability and associated request unit (RU) cost; Evaluate the impact of consistency model choices on performance and latency; Specify application connections to replicated data; Design and implement multi-region writes

Configure Azure Cosmos DB Mirroring for Microsoft Fabric; Choose between Azure Cosmos DB Mirroring and the Azure Cosmos DB Spark connector; Enable the analytical store on a container; Enable a connection to an analytical store and query from Azure Synapse Spark or Azure Synapse SQL; Perform a query against the transactional store from Spark; Write data back to the transactional store from Spark; Implement Change Data Capture in the Azure Cosmos DB analytical store

Integrate events with other applications by using Azure Functions and Azure Event Hubs; Denormalize data by using Change Feed and Azure Functions; Enforce referential integrity by using Change Feed and Azure Functions; Aggregate data by using Change Feed and Azure Functions, including reporting; Archive data by using Change Feed and Azure Functions; Implement Azure AI Search for an Azure Cosmos DB solution

Adjust indexes on the database; Calculate the cost of the query; Retrieve request unit cost of a point operation or query; Implement Azure Cosmos DB integrated cache

Develop an Azure Functions trigger to process a change feed; Consume a change feed from within an application by using the SDK; Manage the number of change feed instances by using the change feed estimator; Implement denormalization by using a change feed; Implement referential enforcement by using a change feed; Implement aggregation persistence by using a change feed; Implement data archiving by using a change feed

Choose when to use a read-heavy versus write-heavy index strategy; Choose an appropriate index type; Configure a custom indexing policy by using the Azure portal; Implement a composite index; Optimize index performance

Evaluate response status code and failure metrics; Monitor the Normalized RU Consumption metric by using Azure Monitor; Monitor server-side latency metrics by using Azure Monitor; Monitor data replication in relation to latency and availability; Configure Azure Monitor alerts for Azure Cosmos DB; Implement and query Azure Monitor resource logs for Azure Cosmos DB; Monitor throughput across partitions; Monitor distribution of data across partitions; Monitor security by using logging and auditing

Choose between periodic and continuous backup; Configure periodic backup; Configure continuous backup and point-in-time restore; Locate a restore point for a point-in-time restore; Restore a database or container from a restore point

Choose between service-managed and customer-managed encryption keys; Configure network-level access control for Azure Cosmos DB; Configure data encryption for Azure Cosmos DB; Manage control plane access to Azure Cosmos DB by using Azure role-based access control (RBAC); Manage control plane access to Azure Cosmos DB Data Explorer by using Azure role-based access control (RBAC); Manage data plane access to Azure Cosmos DB by using Microsoft Entra ID; Configure cross-origin resource sharing (CORS) settings; Manage account keys by using Azure Key Vault; Implement customer-managed keys for encryption; Implement Always Encrypted

Choose a data movement strategy; Move data by using client SDK bulk operations; Move data by using Azure Data Factory and Azure Synapse pipelines; Move data by using a Kafka connector; Move data by using Azure Stream Analytics; Move data by using the Azure Cosmos DB Spark connector; Configure Azure Cosmos DB as a custom endpoint for an Azure IoT Hub

Choose when to use declarative versus imperative operations; Provision and manage Azure Cosmos DB resources by using Azure Resource Manager templates; Migrate between standard and autoscale throughput by using PowerShell or Azure CLI; Initiate a regional failover by using PowerShell or Azure CLI; Maintain indexing policies in production by using Azure Resource Manager templates