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Microsoft Certified: Azure Data Fundamentals - Scope, Audience, and Evaluation Guide for DP-900

Demonstrate foundational knowledge of core data concepts and Microsoft Azure data services.

Microsoft Certified: Azure Data Fundamentals validates foundational knowledge of core data concepts and Microsoft Azure data services. Explore its scope, ideal audience, and prerequisites to evaluate its suitability for your career goals in data engineering, analytics, or database management. This credential offers practical value for professionals seeking a trusted baseline in the Azure ecosystem.

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Credential overview

Understanding the Microsoft Certified: Azure Data Fundamentals (DP-900) Certification

Demonstrates foundational knowledge of core data concepts related to Microsoft Azure data services.

Microsoft Certified: Azure Data Fundamentals is Microsoft's foundational certification for data, analytics, and database workloads. It demonstrates foundational knowledge of core data concepts related to Microsoft Azure data services. The public page organizes the exam around describe core data concepts, identify considerations for relational data on azure, describe considerations for working with non-relational data on azure, and describe an analytics workload on azure. This certification is an opportunity to demonstrate your knowledge of core data concepts and related Microsoft Azure data services. That makes it most useful for researchers comparing real job-fit within the Microsoft ecosystem, not just collecting brand-name certifications.

DataAnalyticsDatabasesData EngineerCore Data ConceptsConsiderations For Relational Data On Azure

Who should take it

Candidates should consider Azure Data Fundamentals if their current or target role depends on Azure and they want a credential that mirrors real job expectations. It is especially helpful for people building confidence before moving into heavier implementation or architecture tracks, and for business or cross-functional professionals who need a credible working understanding of the Microsoft stack. If the product family is central to your day-to-day work, this certification is usually a better fit than a broader but less role-specific Microsoft badge.

Best for

Microsoft Certified: Azure Data Fundamentals is best suited to candidates already handling data engineer responsibilities in Azure. This certification is an opportunity to demonstrate your knowledge of core data concepts and related Microsoft Azure data services. It also works well for business stakeholders, students, and early-career professionals who want a durable baseline before moving into deeper implementation tracks.

Why it matters

Azure Data Fundamentals has practical value because it gives employers and teams a recognizable signal around data, analytics, and database workloads. Microsoft data credentials are especially useful in analytics modernization, BI, database, and data-platform roles. For foundational candidates, the value is mostly about credibility, structured learning, and giving other stakeholders confidence that the holder understands the Microsoft product family in a useful way.

Requirements

Microsoft does not require a prior certification for Azure Data Fundamentals (DP-900). The expected starting point is broad familiarity with Azure, enough comfort with common workflows to follow the terminology on the exam, and some real exposure to the kinds of scenarios measured on the public study guide. That keeps the barrier to entry low, but candidates still do better when they have touched the product family directly instead of studying it only from slides or marketing copy.

Best fit

Who Microsoft Certified: Azure Data Fundamentals is best suited for

Microsoft Certified: Azure Data Fundamentals is best suited to candidates already handling data engineer responsibilities in Azure. This certification is an opportunity to demonstrate your knowledge of core data concepts and related Microsoft Azure data services. It also works well for business stakeholders, students, and early-career professionals who want a durable baseline before moving into deeper implementation tracks.

Who should take it

Candidates should consider Azure Data Fundamentals if their current or target role depends on Azure and they want a credential that mirrors real job expectations. It is especially helpful for people building confidence before moving into heavier implementation or architecture tracks, and for business or cross-functional professionals who need a credible working understanding of the Microsoft stack. If the product family is central to your day-to-day work, this certification is usually a better fit than a broader but less role-specific Microsoft badge.

Best for

Microsoft Certified: Azure Data Fundamentals is best suited to candidates already handling data engineer responsibilities in Azure. This certification is an opportunity to demonstrate your knowledge of core data concepts and related Microsoft Azure data services. It also works well for business stakeholders, students, and early-career professionals who want a durable baseline before moving into deeper implementation tracks.

Career value

Career value of Microsoft Certified: Azure Data Fundamentals

Azure Data Fundamentals can support roles such as data engineer and nearby positions that rely on Azure. Its biggest career impact usually appears at the entry or transition stage, where candidates need a trusted Microsoft baseline before moving deeper into role-specific tracks.

Azure Data Fundamentals has practical value because it gives employers and teams a recognizable signal around data, analytics, and database workloads. Microsoft data credentials are especially useful in analytics modernization, BI, database, and data-platform roles. For foundational candidates, the value is mostly about credibility, structured learning, and giving other stakeholders confidence that the holder understands the Microsoft product family in a useful way.

Learning outcomes

Microsoft Certified: Azure Data Fundamentals Learning Outcomes and Exam Topics

The DP-900 exam evaluates foundational competency across four primary areas: core data concepts, relational data on Azure, non-relational data services, and analytics workloads. These objectives provide a clear baseline for technical roles involving database management and data analysis.

  • Describe core data concepts in Azure with a practical, exam-aligned approach.
  • Identify considerations for relational data on Azure in Azure with a practical, exam-aligned approach.
  • Describe considerations for working with non-relational data on Azure in Azure with a practical, exam-aligned approach.
  • Describe an analytics workload on Azure in Azure with a practical, exam-aligned approach.

Tags and keywords

Certification tags and search topics

DataAnalyticsDatabasesData EngineerCore Data ConceptsConsiderations For Relational Data On AzureAzure Data FundamentalsAzure Data Fundamentals certificationDP-900DP-900 examDP-900 certificationAzure Data Fundamentals examData Engineer certificationAzure certificationData

Reference

Quick facts

Provider
Microsoft
Code
DP-900
Level
Foundational
Credential type
Professional certification
Active exams
1
Known price
$99
Study time
10-20h
Last verified
Apr 15, 2026
Register

Provider

Microsoft

Microsoft

Private company

Exam details

Microsoft Certified: Azure Data Fundamentals Exam DP-900 Specifications

The Microsoft Certified: Azure Data Fundamentals credential is assessed through Exam DP-900. This written exam consists of a 45-minute testing session. Candidates should evaluate these core logistical details to ensure they are fully prepared for the proctored examination format.

DP-900

Exam DP-900: Microsoft Azure Data Fundamentals

Proctored fundamentals exam that may include interactive components.

Official exam
Type
Written
Duration
45 min

Exam sections

01

Describe core data concepts

This section covers foundational knowledge of core data concepts including relational, non-relational, and analytical workloads. Candidates are tested on their understanding of how data is structured, the roles of data professionals, and the fundamental principles of data processing in the cloud.

Question notes

This exam is proctored and may include interactive components as part of the assessment experience.

Preparation tips

Review the self-paced learning paths and use the official Microsoft practice assessment to gauge your readiness and identify knowledge gaps.

02

Identify considerations for relational data on Azure

This section focuses on relational data services on the Azure platform. It includes identifying characteristics of relational data, understanding the concepts of relational databases, and exploring various Azure relational offerings such as Azure SQL Database and SQL Server on Azure Virtual Machines.

Question notes

This exam is proctored and may include interactive components as part of the assessment experience.

Preparation tips

Focus on identifying characteristics of relational data and the specific use cases for different Azure SQL services.

03

Describe considerations for working with non-relational data on Azure

This section examines the implementation and management of non-relational data in Azure. It covers the characteristics of non-relational data, the different types of NoSQL databases, and the use of Azure services like Azure Cosmos DB for storing and processing unstructured and semi-structured data.

Question notes

This exam is proctored and may include interactive components as part of the assessment experience.

Preparation tips

Ensure you understand the structure of non-relational data and the capabilities of Azure Cosmos DB and Azure Storage.

04

Describe an analytics workload on Azure

This section details the components and processes involved in analytics workloads on Azure. It covers the architecture of a modern data warehouse, the role of services like Azure Synapse Analytics and Azure Databricks, and the principles of data ingestion, transformation, and visualization.

Question notes

This exam is proctored and may include interactive components as part of the assessment experience.

Preparation tips

Study the components of a modern data warehouse architecture and the tools used for data ingestion and visualization, such as Power BI.

Study effort

Microsoft Certified: Azure Data Fundamentals Preparation and Difficulty

Candidates should plan for 10 to 20 hours of focused study to cover core data, relational, and non-relational concepts. While no prerequisites exist, success requires more than slide memorization; practical familiarity with Azure workflows helps bridge the gap to the exam.

Study time

10-20h

Difficulty

Recommended experience

Practice exam useful
Hands-on lab useful

Exam cost

Exam Fee and Registration Cost for Microsoft Certified: Azure Data Fundamentals

Use the structured fee rows for the latest known amount and compare region, tax, voucher, or membership notes before registering.

$99

United States

Standard priceTax may vary

Prerequisites

What to know before starting Microsoft Certified: Azure Data Fundamentals

Microsoft does not require a prior certification for Azure Data Fundamentals (DP-900). The expected starting point is broad familiarity with Azure, enough comfort with common workflows to follow the terminology on the exam, and some real exposure to the kinds of scenarios measured on the public study guide. That keeps the barrier to entry low, but candidates still do better when they have touched the product family directly instead of studying it only from slides or marketing copy.

Career fit

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