JITA GRAND LAUNCH SAVE 50% OFF ALL AVAILABLE PAID GUIDES · 30 DAYS ONLY · ENDS OCTOBER 8, 2026
USE CODE: JITA-LAUNCH50
← Back

DP-900 Field Guide for Microsoft Azure Data Fundamentals

The JITA DP-900 Field Guide is a professional study resource for Microsoft Azure Data Fundamentals. It is built to teach how the subject works, how decisions change when facts change, and how to verify an outcome rather than memorize isolated answers.

View DP-900 certification resources DP-900 Exam Preparation Guide
Loading publication details…
JITA Learning · Microsoft · Field Guide

DP-900 · Microsoft Azure Data Fundamentals

Build working judgment for Azure data fundamentals.

What you should expect

Build working judgment for Azure data fundamentals.

This Field Guide develops a working mental model of Azure data fundamentals. You will connect distinguish relational, non-relational, analytical, and transactional workload characteristics, understand common data formats, normalization, schemas, and data-processing concepts, recognize Azure SQL, Cosmos DB, storage, Fabric, Databricks, and analytics service roles, and connect ingestion, processing, storage, analytics, and BI into a basic data lifecycle. 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
  • distinguish relational, non-relational, analytical, and transactional workload characteristics
  • understand common data formats, normalization, schemas, and data-processing concepts
  • recognize Azure SQL, Cosmos DB, storage, Fabric, Databricks, and analytics service roles
  • connect ingestion, processing, storage, analytics, and BI into a basic data lifecycle
  • 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

learners who need a foundational mental model of relational, non-relational, analytics, and data-platform concepts in Azure

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
  • relational vs non-relational data store
  • transactional vs analytical workload
  • storage service vs analytics or BI responsibility
Why JITA is different

Microsoft explains the platform. JITA teaches the decision.

Microsoft Learn explains the services, features, and documented behavior that support Azure data fundamentals. 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.