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Microsoft Certification Hub

DP-900 Certification Hub

Study Microsoft Certified: Azure Data Fundamentals with approved DotCreds support pages, guided practice, and source-backed review.

Choose your next step

Approved pages, practice links, and source-backed review for this certification.

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Continue with the DotCreds Guided Course

Reviews DP-900 concepts before focused practice.

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Practice with the DotCreds Practice Bank

Reinforces Azure Data Fundamentals concepts with answer explanations.

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Related Certifications

Compare nearby credentials and next study options.

Approved guide

Beginner guide

Start DP-900 with relational, non-relational, analytics, Azure SQL, Cosmos DB, Power BI, and Microsoft Fabric fundamentals.

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Study roadmap

Follow a practical DP-900 roadmap: data types, relational concepts, NoSQL models, Azure SQL, Cosmos DB, analytics, Power BI, and review.

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Exam overview

Review DP-900 knowledge areas: data concepts, relational services, non-relational services, analytics workloads, and Azure data tools.

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Skills measured breakdown

Break down DP-900 skills across data types, relational concepts, non-relational models, Azure services, analytics, Power BI, and Fabric.

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How to prepare

Prepare for DP-900 by comparing workload types, reviewing Azure data services, practicing scenarios, and checking Microsoft’s official guide.

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Practice test support page

Use DP-900 practice questions to classify misses by data concept, Azure service, analytics workload, visualization, and service-selection clue.

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Course support page

Use DP-900 Course Notes, lesson review, focused questions, explanations, weak-area repetition, and mixed review for Azure Data Fundamentals.

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Job roles

See how DP-900 concepts support data analyst, BI support, application support, cloud support, and junior database support work.

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Career roadmap

Use DP-900 as a foundation for data analyst, BI, support, database, cloud, Fabric, and data engineering learning paths.

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Related certifications

Explore practical next steps after DP-900, including PL-300, DP-600, DP-700, database administration, SQL, Python, Power BI, and Fabric.

Reviewed sources

Official and vendor docs used to ground this page.