JITA Learning · Microsoft · Field Guide
DP-420 · Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB
Build working judgment for Azure Cosmos DB application and data architecture.
What you should expect
Build working judgment for Azure Cosmos DB application and data architecture.
This Field Guide develops a working mental model of Azure Cosmos DB application and data architecture. You will connect choose partition keys and data models that match workload access patterns and scale, reason about consistency, throughput, request units, indexing, and query cost, use SDKs, transactions, change feed, functions, and data-movement patterns correctly, and design connectivity, security, authentication, and application access to Cosmos DB. You are not just memorizing feature names; you are learning what owns the requirement, what can fail, and how to verify the outcome.
What you will learn
- choose partition keys and data models that match workload access patterns and scale
- reason about consistency, throughput, request units, indexing, and query cost
- use SDKs, transactions, change feed, functions, and data-movement patterns correctly
- design connectivity, security, authentication, and application access to Cosmos DB
- recognize why one technically plausible alternative loses under the stated requirement
- apply Changed Fact reasoning and verify the design or implementation through operational evidence
Decision skills you will practice
- identify the governing requirement
- compare the nearest plausible alternative
- apply Changed Fact reasoning
- trace prerequisites, dependencies, and failure paths
- verify configured state, effective state, runtime outcome, and negative-path evidence
Who this is for
developers and architects designing cloud-native applications on Azure Cosmos DB
Use this when you need to learn the architecture, mechanics, dependencies, tradeoffs, failure paths, and verification logic behind the certification.
Decisions you will learn to distinguish
- partition-key problem vs indexing/query problem
- consistency requirement vs throughput/performance requirement
- change feed processing vs direct application query path
Why JITA is different
Microsoft explains the platform. JITA teaches the decision.
Microsoft Learn explains the services, features, and documented behavior that support Azure Cosmos DB application and data architecture. JITA connects those capabilities into decisions: what owns the requirement, what the nearest alternative is, what changes when one fact changes, and what evidence proves the implementation worked.
How to choose:
Use the Field Guide to build understanding. Use the Exam Preparation Guide to test whether that understanding survives exam-style decisions.