Microsoft Azure Data Fundamentals (DP-900) Exam Blueprint

DP-900

Microsoft

700 (1-1000)Passing Score

Practice Microsoft Azure Data Fundamentals on QuizForge

Credential type: certification examination · verified on the issuer's site September 20, 2026 issuer page

Exam Domains

1.0 Describe core data concepts 25-30%

1.1Describe ways to represent data
Describe the features of structured data; Describe the features of semi-structured data; Describe the features of unstructured data
1.2Identify options for data storage
Describe common formats for data files; Describe features of common data stores including databases; Identify Azure datastores for common use cases
1.3Describe common data workloads
Describe features of transactional workloads; Describe features of analytical workloads
1.4Identify roles and responsibilities for data workloads
Describe responsibilities for database administrators; Describe responsibilities for data engineers; Describe responsibilities for data analysts

2.0 Identify considerations for relational data on Azure 20-25%

2.1Describe 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
2.2Describe 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

3.0 Describe considerations for working with non-relational data on Azure 15-20%

3.1Describe the capabilities of Azure storage
Describe features of Azure Blob storage; Describe features of Azure Files; Describe features of Azure Table storage
3.2Describe the capabilities and features of Azure Cosmos DB
Identify use cases for Azure Cosmos DB; Describe Azure Cosmos DB APIs

4.0 Describe an analytics workload 25-30%

4.1Describe 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
4.2Describe considerations for real-time data analytics
Describe the difference between batch and streaming data; Identify Microsoft cloud services for real-time analytics
4.3Describe data visualization in Microsoft Power BI
Identify the capabilities of Power BI; Describe features of data models in Power BI; Identify appropriate visualizations for data

Exam Details

Online ProctoringAvailable

RenewalNot required -- Microsoft Fundamentals certifications do not expire and do not require renewal.

PrerequisitesFamiliarity with Exam DP-900’s self-paced or instructor-led learning material (recommended)

Retake PolicyAfter the first failure, wait 24 hours. Wait 14 days between later attempts. At most five attempts in the 12 months starting with the first attempt; after five failures, wait until that period ends. Retake fees apply. See Microsoft's policy for exceptions.

Official Study Resources

official documentationChoose from self-paced learning paths and modules or take an instructor-led course

official documentationAzure SQL documentation - Azure SQL

official documentationSQL Server technical documentation - SQL Server

official documentationAzure Blob Storage documentation

official documentationAzure Table storage documentation

official documentationAzure Storage documentation

official documentationAzure Cosmos DB

official documentationAzure Synapse Analytics

official documentationAzure Databricks

official documentationData Factory

official documentationPower BI documentation - Power BI

official documentationMicrosoft Q&A | Microsoft Docs

official documentationExam Readiness Zone

official documentationData Exposed

official documentationBrowse other Microsoft Learn shows

official renewal guideCertification renewal and the Fundamentals exception

Source review and study planning

Source checked 2026-09-04. Objectives effective 2026-07-21.

Official-source reconciliation with automated hierarchy checks; not an endorsement by Microsoft.

Reconciled domain ranges and objective hierarchy against the dated official guide; local objective numbers are navigation aids.
Corrected first and subsequent retake waiting periods; removed the unsupported score threshold.
Removed unsupported fixed question count, duration, price, language list and testing rules. Consult the official exam page for booking details; the audience profile describes recommended experience, not mandatory prerequisites.
Corrected Fundamentals renewal status: these certifications do not expire.

Official objectives | Official retake policy

Plan against this version

Check the official revision history before planning study: Compare the effective date with your exam language and appointment. Use changed objectives to revisit earlier preparation.
Use the guide's learning and documentation map: For each objective, record a task you can perform and the official reference used. Prioritize gaps; the published ranges are not predicted question counts.
Atlas study exercise: Classify a data workload: Compare an order-entry system with a sales-reporting workload. Describe their transaction and analytical needs, choose a suitable data model for each, and identify which Azure data service categories warrant further study. Explain the decision without treating product names as interchangeable. This is a study aid, not an official exam question or a prediction of your result.