Certoga

Microsoft

Microsoft Azure Data Fundamentals

Foundational Azure data concepts across relational, non-relational, analytics, governance, security, and visualization workloads.

DP-900
60Official questions
45 minOfficial duration
70%Practice target
100Questions available

Exam coverage

Skills you will practice

  • Core data concepts, transactional systems, and analytical workloads
  • Relational and non-relational Azure data service selection
  • Data lakes, pipelines, warehouses, visualization, and reporting
  • Data governance, security, backup, redundancy, and recovery basics

Practice exam

Build your session

Quick startOne click
Custom setup
Questions10
160
Timer30 min
Off45 min

Difficulty

How to use this practice bank

Start with mixed, untimed sessions to identify weak areas. Then use focused difficulty sessions and gradually increase the question count and timer until you can sustain the pace of the official exam.

2026 Exam Guide

Microsoft Azure Data Fundamentals Study Guide

Current exam coverage, candidate guidance, important topics, and practical preparation advice for the DP-900 exam.

What Is Microsoft Azure Data Fundamentals?

Microsoft Azure Data Fundamentals is an entry-level data certification earned by passing DP-900. It validates core data concepts and the ability to identify Azure services for relational data, non-relational data, analytics, integration, visualization, governance, and security. The exam is conceptual but practical: candidates must know which data service fits a requirement.

In 2026, DP-900 remains a useful foundation for people beginning cloud data work. Candidates should understand transactional and analytical workloads, relational databases, NoSQL document data, object storage, data lakes, pipelines, warehouses, Power BI, Microsoft Purview, backup, redundancy, and identity-based data access.

Who Should Take This Exam?

DP-900 is suitable for students, analysts, junior data engineers, database beginners, cloud beginners, BI professionals, and technical stakeholders who work with data projects on Azure.

It is also a good stepping stone before Azure database, data engineering, analytics, or Power BI certifications. Candidates do not need deep SQL administration experience, but they should understand basic data models and workload patterns.

Exam Domains

Core Data Concepts

Guide area

Structured, semi-structured, unstructured, transactional, and analytical data concepts.

Relational Data on Azure

Guide area

Azure SQL, relational design, tables, normalization, and query concepts.

Non-Relational Data on Azure

Guide area

Cosmos DB, key-value, document, object storage, and data lake scenarios.

Analytics Workloads

Guide area

Data ingestion, transformation, warehouses, lakes, reporting, and governance.

Common Topics Covered

  • OLTP vs OLAP
  • Azure SQL Database
  • Cosmos DB
  • Blob Storage
  • Data Lake Storage
  • Data Factory
  • Synapse Analytics
  • Microsoft Fabric
  • Power BI
  • Microsoft Purview

Study Tips

Build a comparison table for Azure SQL Database, Cosmos DB, Blob Storage, Data Lake Storage, Synapse, Fabric, Data Factory, and Power BI. Most questions are service-fit decisions.

Do not over-focus on advanced syntax. Understand workload type, data shape, scale, latency, reporting needs, governance, and security model.

Practice Questions Overview

Certoga's DP-900 questions are original practice items covering Azure data fundamentals. They help candidates choose data services from short business and technical requirements.

DP-900 Practice Exam & 2026 Study Guide | Certoga