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Microsoft

Azure Data Fundamentals Certification

DP-900 · 3 domains

Last updated: March 31, 2026

Exam Syllabus & Domains

The Azure Data Fundamentals certification exam covers the following domains. Focus your training time proportionally to each domain's weight.

Domain 1 25-30%

Describe Core Data Concepts

  • 1.1 Describe ways to represent data
  • 1.2 Identify options for data storage
  • 1.3 Describe common data workloads
  • 1.4 Identify roles and responsibilities for data workloads
Structured DataSemi-Structured DataUnstructured DataOLTP vs OLAPBatch vs StreamingData WarehouseData LakeETL vs ELTDatabase AdministratorData Engineer
Domain 2 20-25%

Identify Considerations for Relational Data

  • 2.1 Describe relational concepts
  • 2.2 Describe normalization and why it is used
  • 2.3 Identify common SQL statements
  • 2.4 Identify common database objects
Tables and RelationshipsPrimary and Foreign KeysNormalizationSQL SELECT/INSERT/UPDATE/DELETEJOINsViewsStored ProceduresAzure SQL DatabaseAzure SQL Managed InstanceAzure Database for MySQL/PostgreSQL
Domain 3 15-20%

Describe Considerations for Non-Relational Data

  • 3.1 Describe Azure Storage services
  • 3.2 Describe Azure Cosmos DB
  • 3.3 Identify appropriate non-relational data solutions
Azure Cosmos DBCosmos DB APIsPartition KeysAzure Blob StorageAzure Table StorageAzure FilesAzure Data Lake StorageDocument DatabasesKey-Value StoresGraph Databases
Domain 4 25-30%

Describe an Analytics Workload

  • 4.1 Describe common elements of large-scale analytics
  • 4.2 Describe considerations for real-time data analytics
  • 4.3 Describe data visualization in Microsoft Power BI
Azure Synapse AnalyticsAzure Data FactoryData PipelinesStar SchemaDimension and Fact TablesPower BIAzure Stream AnalyticsAzure DatabricksData IngestionReal-Time Analytics

Where to Focus Your Study Time

Domains with higher weight have more exam questions — allocate your study hours accordingly.

D1 Describe Core Data Concepts
25-30%
D2 Identify Considerations for Relational Data
20-25%
D3 Describe Considerations for Non-Relational Data
15-20%
D4 Describe an Analytics Workload
25-30%

Study Tips

Free Study Resources

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Study Roadmap

Week-by-week study plan with free resources

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Study Tracker

Track objective completion with progress dashboard

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Cost Calculator

Total cost breakdown and ROI analysis

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Practice Quiz

Test your knowledge with free practice questions

Practice Quiz

Test your knowledge before the exam with our free practice quiz.

Take the Azure Data Fundamentals Practice Quiz

Get the Azure Data Fundamentals Study Planner

Fillable PDF with 6-week schedule, domain trackers, flashcard templates, progress tracking, and quick reference sheets. Available in Standard, ADHD-Friendly, Dark Mode, and 4-Format Bundle.

Get the Study Planner — $5.99

Also available as a 4-Format Bundle for $15.99

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Free Training Resources

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Frequently Asked Questions

What is the Azure Data Fundamentals certification?

The Azure Data Fundamentals (DP-900) is a professional IT certification that validates your knowledge and skills in the exam domains covered. It is recognized globally by employers and is a valuable credential for career advancement in cybersecurity and IT.

What does the Azure Data Fundamentals certification syllabus cover?

The Azure Data Fundamentals exam syllabus covers 3 domains. Each domain is weighted differently, so focus your training on higher-weighted domains first. Review the complete domain breakdown above for objectives and key concepts.

How should I study for Azure Data Fundamentals?

Create a structured study plan covering all exam domains, use practice tests to identify weak areas, and review key concepts regularly. A fillable study planner can help you organize your training with weekly schedules and progress tracking.

How long does it take to prepare for Azure Data Fundamentals?

Preparation time varies by experience level. Most candidates spend 8-12 weeks of dedicated training. Using a structured study planner with domain-by-domain breakdown helps ensure you cover all certification objectives efficiently.