From the course: Microsoft Azure Cosmos DB Developer Specialty (DP-420) Cert Prep by Microsoft Press
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Learning objective
From the course: Microsoft Azure Cosmos DB Developer Specialty (DP-420) Cert Prep by Microsoft Press
Learning objective
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Welcome to Lesson 11: Implement Solutions Across Services. In this lesson, we integrate events with other applications by using Azure Functions and Azure Event Hubs. We'll then follow that up with denormalizing data using the Change Feed and Azure Functions. Next, we'll enforce referential integrity by using same Change Feed and Azure Functions. We'll also use those technologies to aggregate data. Lastly, we'll archive data by using Change Feed and Azure Functions, and then layer in Azure Cognitive Search for an Azure Cosmos DB solution. Let's get to work.
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Contents
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Learning objectives42s
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Develop a design by storing multiple entity types in the same container9m 10s
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Develop a design by storing multiple related entities in the same document9m 18s
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Develop a design by referencing between documents4m 57s
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Identify primary and unique keys11m 35s
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Identify data and associated access patterns6m 55s
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Specify a default TTL on a container for a transactional store21m 6s
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Learning objectives37s
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Choose a partition strategy based on a specific workload2m 24s
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Plan for transactions when choosing a partition key9m 18s
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Calculate and evaluate throughput distribution based on partition key selection12m 41s
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Design partitioning for workloads that require multiple partition keys25m 19s
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Learning objectives34s
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Choose between serverless and provisioned models2m 38s
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Choose when to use database-level provisioned throughput1m 53s
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Design for granular scale units and resource governance2m 2s
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Evaluate the cost of the global distribution of data13m 48s
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Configure throughput for Azure Cosmos DB by using Azure Portal20m 49s
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Learning objectives33s
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Implement a connectivity mode2m 16s
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Create a connection to a database2m
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Enable offline development by using the Azure Cosmos DB emulator1m 11s
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Handle connection errors1m 35s
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Configure client-side threading and parallelism options7m 57s
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Enable SDK logging16m 13s
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Learning objectives34s
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Implement queries that use arrays, nested objects, aggregation, and ordering7m 51s
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Implement a correlated subquery1m 18s
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Implement queries that use array and type-checking functions59s
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Implement queries that use mathematical, string, and date functions3m 25s
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Implement queries based on variable data11m 27s
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Learning objectives1m
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Choose when to use a point operation versus a query operation1m 41s
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Implement a point operation that creates, updates, and deletes documents3m 15s
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Implement an update by using a patch operation2m 48s
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Manage multi-document transactions using SDK transactional batch2m 1s
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Perform a multi-document load using SDK bulk1m 33s
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Implement optimistic concurrency control using ETags2m 25s
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Implement session consistency by using session tokens1m 28s
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Implement a query operation that includes pagination2m 3s
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Implement a query operation by using a continuation token1m 21s
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Handle transient errors and 429s2m 36s
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Specify TTL for a document1m 18s
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Retrieve and use query metrics8m 5s
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Learning objectives31s
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Choose when to distribute data4m 4s
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Define automatic failover policies for regional failure for Azure Cosmos DB Core API1m 50s
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Perform manual failovers to move single master write regions1m 51s
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Specify application connections to replicated data11m 20s
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Learning objective42s
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Integrate events with other applications by using Azure Functions and Azure Event Hubs3m 51s
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Denormalize data by using change feed and Azure Functions7m 43s
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Archive data by using change feed and Azure Functions50s
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Implement Azure Cognitive Search for an Azure Cosmos DB solution3m 2s
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Learning objective37s
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Evaluate response status code and failure metrics3m 4s
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Monitor data replication in relation to latency and availability2m 21s
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Configure Azure Monitor alerts for Azure Cosmos DB2m 42s
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Implement and query Azure Cosmos DB logs5m 22s
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Monitor distribution of data across partitions1m 20s
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Monitor security by using logging and auditing12m 13s
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Learning objective49s
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Choose between service-managed and customer-managed encryption keys2m 3s
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Configure network-level access control for Azure Cosmos DB6m 15s
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Configure data encryption for Azure Cosmos DB1m 10s
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Manage control plane access to Azure Cosmos DB by using Azure role-based access control (RBAC)2m 36s
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Manage data plane access to Azure Cosmos DB by using Azure Active Directory1m 38s
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Configure Cross-Origin Resource Sharing (CORS) settings1m 41s
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Manage account keys by using Azure Key Vault1m 19s
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Implement customer-managed keys for encryption53s
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Implement Always Encrypted12m 55s
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Learning objective30s
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Choose a data movement strategy2m 55s
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Move data by using client SDK bulk operations49s
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Move data by using Azure Data Factory and Azure Synapse pipelines1m 32s
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Move data by using a Kafka connector2m 23s
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Move data by using Azure Stream Analytics1m 27s
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Move data by using the Azure Cosmos DB Spark connector20m 32s
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Learning objective41s
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Choose when to use declarative versus imperative operations3m 22s
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Provision and manage Azure Cosmos DB resources by using Azure Resource Manager templates (ARM templates)1m 46s
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Migrate between standard and autoscale throughput by using PowerShell or Azure CLI2m 58s
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Initiate a regional failover by using PowerShell or Azure CLI2m 41s
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Maintain index policies in production by using ARM templates13m 30s
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