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11+ Hours of Video Instruction
Microsoft MVP and Microsoft Certified Azure Solutions Architect Tim Warner walks you through what to expect on the DP-420 exam. This course provides everything you need to know to pass this exam.
Cosmos DB is Microsoft Azure's flagship non-relational database product. Cosmos DB supports multiple application programming interfaces (APIs) that provide compatibility with competing NoSQL databases. Cosmos DB also features five different transaction consistency levels, as well as multimaster global replication. Businesses that need to integrate enterprise-scale, cloud-based, NoSQL databases in their solutions will obviously consider Cosmos DB. Learners can embrace this training for real-world Cosmos DB training.
There's a decided emphasis on building hands-on skills, because this is how Microsoft focuses their Azure Cosmos DB Database Developer job role.
Skill Level
What You Will Learn
Who Should Take This Course
Course Requirements
Prerequisites:
A candidate for the Azure Cosmos DB Developer Specialty certification should have subject matter expertise designing, implementing, and monitoring cloud-native applications that store and manage data. Intermediate understanding of both relational and non-relational databases and Intermediate experience with Microsoft Azure.
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Introduction
Module 1: Design and Implement Data Models
Lesson 1: Design and Implement a Non-Relational Data Model for Azure Cosmos DB Core API
1.1 Develop a design by storing multiple entity types in the same container
1.2 Develop a design by storing multiple related entities in the same document
1.3 Develop a design by referencing between documents
1.4 Identify primary and unique keys
1.5 Identify data and associated access patterns
1.6 Specify a default TTL on a container for a transactional store
Lesson 2: Design a Data-Partitioning Strategy for Azure Cosmos DB Core API
2.1 Choose a partition strategy based on a specific workload
2.2 Plan for transactions when choosing a partition key
2.3 Calculate and evaluate throughput distribution based on partition key selection
2.4 Design partitioning for workloads that require multiple partition keys
Lesson 3: Plan and Implement Sizing and Scaling for a Database Created with Azure Cosmos DB
3.1 Choose between serverless and provisioned models
3.2 Choose when to use database-level provisioned throughput
3.3 Design for granular scale units and resource governance
3.4 Evaluate the cost of the global distribution of data
3.5 Configure throughput for Azure Cosmos DB by using the Azure portal
Lesson 4: Implement Client Connectivity Options in the Azure Cosmos DB SDK
4.1 Implement a connectivity mode
4.2 Create a connection to a database
4.3 Enable offline development by using the Azure Cosmos DB emulator
4.4 Handle connection errors
4.5 Configure client-side threading and parallelism options
4.6 Enable SDK logging
Lesson 5: Implement Data Access by Using the Azure Cosmos DB SQL Language
5.1 Implement queries that use arrays, nested objects, aggregation, and ordering
5.2 Implement a correlated subquery
5.3 Implement queries that use array and type-checking functions
5.4 Implement queries that use mathematical, string, and date functions
5.5 Implement queries based on variable data
Lesson 6: Implement Data Access by Using SQL API SDKs
6.1 Choose when to use a point operation versus a query operation
6.2 Implement a point operation that creates, updates, and deletes documents
6.3 Implement an update by using a patch operation
6.4 Manage multi-document transactions using SDK Transactional Batch
6.5 Perform a multi-document load using SDK Bulk
6.6 Implement optimistic concurrency control using ETags
6.7 Implement session consistency by using session tokens
6.8 Implement a query operation that includes pagination
6.9 Implement a query operation by using a continuation token
6.10 Handle transient errors and 429s
6.11 Specify TTL for a document
6.12 Retrieve and use query metrics
Lesson 7: Implement Server-Side Programming in Azure Cosmos DB Core API by Using JavaScript
7.1 Design stored procedures to work with multiple items transactionally
7.2 Implement triggers
7.3 Implement a user-defined function
Module 2: Design and Implement Data Distribution
Lesson 8: Design and Implement a Replication Strategy for Azure Cosmos DB
8.1 Choose when to distribute data
8.2 Define automatic failover policies for regional failure for Azure Cosmos DB Core API
8.3 Perform manual failovers to move single master write regions
8.4 Specify application connections to replicated data
Lesson 9: Design and Implement Multi-Region Writes
9.1 Choose when to use multi-region writes
9.2 Implement multi-region write
9.3 Implement a custom conflict resolution policy for Azure Cosmos DB Core API
Module 3: Integrate an Azure Cosmos DB Solution
Lesson 10: Enable Azure Cosmos DB Analytical Workloads
10.1 Enable Azure Synapse Link
10.2 Choose between Azure Synapse Link and Spark Connector
10.3 Enable the analytical store on a container
10.4 Write data back to the transactional store from Spark
Lesson 11: Implement Solutions Across Services
11.1 Integrate events with other applications by using Azure Functions and Azure Event Hubs
11.2 Denormalize data by using Change Feed and Azure Functions
11.3 Archive data by using Change Feed and Azure Functions
11.4 Implement Azure Cognitive Search for an Azure Cosmos DB solution
Module 4: Optimize an Azure Cosmos DB Solution
Lesson 12: Optimize Query Performance in Azure Cosmos DB Core API
12.1 Adjust indexes on the database
12.2 Calculate the cost of the query
12.3 Retrieve request unit cost of a point operation or query
12.4 Implement Azure Cosmos DB integrated cache
Lesson 13: Design and Implement Change Feeds for an Azure Cosmos DB Core API
13.1 Implement data archiving by using a change feed
Lesson 14: Define and Implement an Indexing Strategy for an Azure Cosmos DB Core API
14.1 Choose when to use a read-heavy versus write-heavy index strategy
14.2 Choose an appropriate index type
14.3 Configure a custom indexing policy by using the Azure portal
14.4 Implement a composite index
14.5 Optimize index performance
Module 5: Maintain an Azure Cosmos DB Solution
Lesson 15: Monitor and Troubleshoot an Azure Cosmos DB Solution
15.1 Evaluate response status code and failure metrics
15.2 Monitor data replication in relation to latency and availability
15.3 Configure Azure Monitor alerts for Azure Cosmos DB
15.4 Implement and query Azure Cosmos DB logs
15.5 Monitor distribution of data across partitions
15.6 Monitor security by using logging and auditing
Lesson 16: Implement Backup and Restore for an Azure Cosmos DB Solution
16.1 Choose between periodic and continuous backup
16.2 Configure periodic backup
16.3 Configure continuous backup and recovery
16.4 Recover a database or container from a recovery point
Lesson 17: Implement Security for an Azure Cosmos DB Solution
17.1 Choose between service-managed and customer-managed encryption keys
17.2 Configure network-level access control for Azure Cosmos DB
17.3 Configure data encryption for Azure Cosmos DB
17.4 Manage control plane access to Azure Cosmos DB by using Azure role-based access control (RBAC)
17.5 Manage data plane access to Azure Cosmos DB by using Azure Active Directory
17.6 Configure Cross-Origin Resource Sharing (CORS) settings
17.7 Manage account keys by using Azure Key Vault
17.8 Implement customer-managed keys for encryption
17.9 Implement Always Encrypted
Lesson 18: Implement Data Movement for an Azure Cosmos DB Solution
18.1 Choose a data movement strategy
18.2 Move data by using client SDK bulk operations
18.3 Move data by using Azure Data Factory and Azure Synapse pipelines
18.4 Move data by using a Kafka connector
18.5 Move data by using Azure Stream Analytics
18.6 Move data by using the Azure Cosmos DB Spark Connector
Lesson 19: Implement a DevOps Process for an Azure Cosmos DB Solution
19.1 Choose when to use declarative versus imperative operations
19.2 Provision and manage Azure Cosmos DB resources by using Azure Resource Manager templates (ARM templates)
19.3 Migrate between standard and autoscale throughput by using PowerShell or Azure CLI
19.4 Initiate a regional failover by using PowerShell or Azure CLI
19.5 Maintain index policies in production by using ARM templates
Summary