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#DP 900

This exam is an opportunity to demonstrate your knowledge of core data concepts and related Microsoft Azure data services. As a candidate for this exam, you should have familiarity with Exam DP-900’s self-paced or instructor-led learning material.

Kickstart Your Data Career with DP-900 Certification

You should be familiar with:

✅The concepts of relational and non-relational data.
✅Different types of data workloads such as transactional or analytical.
✅You can use Azure Data Fundamentals to prepare for other Azure role-based certifications like Azure Database Administrator Associate or Azure
✅Data Engineer Associate, but it is not a prerequisite for any of them.

 Modules We Learn

✅Module 1: Cloud Concepts
✅Module 2: Core Azure Services  
✅Module 3: Azure Solutions and Management Tools
✅Module 4: Azure Storage 
✅Module 5: Azure Security, Privacy, Compliance and Trust
✅Module 6: Azure Pricing and Support
✅Module 7: Azure Data Fundamentals
✅Module 8: DP 900 Exam Guidance

 

Describe core data concepts (25–30%)

CH1: Describe ways to represent data

  • Describe features of structured data
  • Describe features of semi-structured
  • Describe features of unstructured data

CH2: Identify options for data storage

  • Describe common formats for data files
  • Describe types of databases

CH3: Describe common data workloads

  • Describe features of transactional workloads
  • Describe features of analytical workloads

CH4: Identify roles and responsibilities for data workloads

  • Describe responsibilities for database administrators
  • Describe responsibilities for data engineers
  • Describe responsibilities for data analysts

 

Identify considerations for relational data on Azure (20–25%)

CH1: Describe relational concepts

  • Identify features of relational data
  • Describe normalization and why it is used
  • Identify common structured query language (SQL) statements
  • Identify common database objects

CH2: Describe relational Azure data services

  • Describe the Azure SQL family of products including Azure SQL Database,
  • Azure SQL Managed Instance, and SQL Server on Azure Virtual Machines
  • Identify Azure database services for open-source database systems

Describe considerations for working with non-relational data on Azure (15–20%)

CH1: Describe capabilities of Azure storage

  • Describe Azure Blob storage
  • Describe Azure File storage
  • Describe Azure Table storage

CH2: Describe capabilities and features of Azure Cosmos DB

  • Identify use cases for Azure Cosmos DB
  • Describe Azure Cosmos DB APIs

 

Describe an analytics workload on Azure (25–30%)

CH1: Describe common elements of large-scale analytics

  • Describe considerations for data ingestion and processing
  • Describe options for analytical data stores
  • Describe Microsoft cloud services for large-scale analytics, including Azure Databricks and Microsoft Fabric

CH2: Describe consideration for real-time data analytics

  • Describe the difference between
  • batch and streaming data
  • Identify Microsoft cloud services for real-time analytics

CH3: Describe data visualization in Microsoft Power BI

  • Identify capabilities of Power BI
  • Describe features of data models in Power BI
  • Identify appropriate visualizations for data
Azure Data Engineer roadmap with Azure Data Factory, Databricks, Spark, and Delta Lake

What is the DP-900 certification exam?

DP-900 (Microsoft Azure Data Fundamentals) is an entry-level Microsoft certification that validates your knowledge of core data concepts and Azure data services — including relational data, non-relational data, and analytics workloads on Azure.

Who should take the DP-900 exam?

  •  Freshers entering the data/cloud domain
  •  IT professionals exploring Azure data services
  • Business analysts, developers, or DBAs starting their cloud journey
  • Anyone with no prior Azure experience — beginner-friendly!

What are the prerequisites for DP-900?

There are no mandatory prerequisites. Basic familiarity with data concepts is helpful, but all topics are covered from scratch. No coding experience is required.

What topics are covered in the DP-900 exam?

The exam covers 4 major areas:

  • Core Data Concepts (25–30%)
  • Relational Data on Azure (20–25%)
  • Non-Relational Data on Azure (15–20%)
  • Analytics Workloads on Azure (25–30%) — including Power BI, Azure Synapse, and Microsoft Fabric

Can DP-900 help me get a job or advance my career?

Yes! DP-900 is a strong foundation cert that adds credibility to your profile. It also prepares you for higher-level Azure certifications like DP-300 (Azure Database Administrator) and DP-700/DP-800 (Microsoft Fabric Engineer).

What training modes does SQL School offer for DP-900?

SQL School offers two modes:

  • LIVE Online Training — Instructor-led, interactive, with step-by-step guidance and assignments
  • Self-Paced Videos — On-demand, practical videos with concept-wise assignments
    Both follow the same curriculum. Trainer support available for doubts & reviews.

How long does it take to prepare for DP-900?

With focused study, most candidates can prepare in 2–4 weeks. SQL School’s structured training covers all exam objectives with hands-on practice, making preparation faster and more effective.

Why choose SQL School for DP-900 training?

  • 100% Real-Time and Practical
  • ISO 9001:2008 Certified
  • Concept wise FAQs
  • TWO Real-time Case Studies, One Project
  • Weekly Mock Interviews
  • 24/7 LIVE Server Access
  • Placement Assistance
  • Realtime Project FAQs

SQL SCHOOL vs Other Institutes

Training Modes

LIVE Online Training

Instructor Led

Self Paced Videos

 On-Demand

Corporate Training

With 100% Hands-On

SQL School Fabric Data Analyst training certificate of completion issued in January 2026 with verification ID

Why Choose SQL School

  • 100% Real-Time and Practical
  • ISO 9001:2008 Certified
  • Weekly Mock Interviews
  • 24/7 LIVE Server Access
  • Realtime Project FAQs
  • Course Completion Certificate
  • Placement Assistance
  • Job Support

SQL SCHOOL

24x7 LIVE Online Server (Lab) with Real-time Databases.
Course includes ONE Real-time Project.