Microsoft Certified: Azure Data Fundamentals (DP-900) Practice Test

This certification is designed for candidates who are beginning to work with data in the cloud and want to establish a foundational understanding of Azure data services. It is well-suited for students, career changers moving into data-related roles, business analysts, IT generalists, and junior data professionals who need a conceptual grounding before pursuing more advanced Azure certifications.

Common job roles that benefit from this certification include data analyst, database administrator, data engineer, cloud administrator, and business intelligence developer — all at an entry or transitional career stage. DP-900 also serves as an optional stepping stone toward more advanced credentials such as the Azure Database Administrator Associate (DP-300) and the Azure Data Engineer Associate (DP-203), though it is not a formal prerequisite for either.

There are no mandatory prerequisites for the DP-900 exam. Microsoft does not require any prior certification or formal educational background to register and sit for the exam. However, candidates are expected to have basic familiarity with the concepts of relational and non-relational data, and an understanding of different data workload types such as transactional and analytical processing.

Microsoft recommends completing the official self-paced learning paths available on Microsoft Learn or the instructor-led course DP-900T00-A before taking the exam. Candidates with some background in databases, SQL, or general cloud computing concepts will find the material more accessible, but no hands-on Azure experience is strictly required for this foundational-level exam.

The DP-900 exam is administered through Pearson VUE (for general candidates) or Certiport (for students and educators). Candidates have 45 minutes to complete the assessment. The exam may include interactive components in addition to standard multiple-choice and select-all-that-apply question types. The exam is proctored and can be taken online or at a testing center.

Scoring is on a scale of 1–1000, and a score of 700 or higher is required to pass. The exam does not publish an exact fixed number of questions, as question counts can vary. If the exam is not available in a candidate's preferred language, an additional 30 minutes is granted. Available languages include English, Japanese, Chinese (Simplified and Traditional), Korean, French, German, Spanish, Portuguese (Brazil), Russian, Indonesian, Arabic (Saudi Arabia), and Italian. If a candidate fails, they may retake the exam 24 hours after the first attempt.

• 1.Describe core data concepts (25–30%): Covers structured, semi-structured, and unstructured data; common file formats and database types; transactional vs. analytical workloads; and the responsibilities of database administrators, data engineers, and data analysts.
• 2.Identify considerations for relational data on Azure (20–25%): Covers relational data features, normalization, common SQL statements, database objects, the Azure SQL product family (Azure SQL Database, Azure SQL Managed Instance, SQL Server on Azure VMs), and Azure database services for open-source systems such as PostgreSQL and MySQL.
• 3.Describe considerations for working with non-relational data on Azure (15–20%): Covers Azure Blob Storage, Azure File Storage, Azure Table Storage, and Azure Cosmos DB — including its use cases and supported APIs (Core SQL, MongoDB, Cassandra, Gremlin, Table).
• 4.Describe an analytics workload on Azure (25–30%): Covers large-scale analytics concepts including data ingestion and processing, analytical data stores, Azure Synapse Analytics, Azure Databricks, and Microsoft Fabric; real-time analytics with batch vs. streaming data; and data visualization capabilities in Microsoft Power BI including data models and visualization types.

• Use the official Microsoft Learn free learning paths for DP-900 — the modules map directly to the four exam domains and include knowledge checks. Complete all four paths before scheduling the exam.
• Take the free official Practice Assessment on Microsoft Learn (linked from the DP-900 exam page) to get familiar with the exact question style, wording, and difficulty level used on the real exam.
• Use the Exam Sandbox at aka.ms/examdemo to experience the exam interface before test day, including interactive question types that may appear on the exam.
• Pay close attention to Azure Cosmos DB APIs (Core SQL, MongoDB, Cassandra, Gremlin, Table) and when each is appropriate — this is a commonly tested area. Similarly, know the distinctions between Azure SQL Database, SQL Managed Instance, and SQL Server on Azure VMs.
• For the analytics domain, understand the architectural role of each service: Azure Data Factory for ingestion/orchestration, Azure Synapse Analytics for large-scale analytics, Azure Databricks for Spark-based processing, Microsoft Fabric as an integrated analytics platform, and Power BI for visualization and reporting.
• Review the official Study Guide at aka.ms/dp900-StudyGuide to track the most current skills objectives. The exam was updated in November 2024 with increased emphasis on Microsoft Fabric and Azure Databricks — ensure your study materials reflect this version.
• Join the Analytics on Azure TechCommunity forum to clarify concepts and read discussions from candidates who have recently taken the exam, as this can surface commonly tested edge cases.

The DP-900 certification adds a Microsoft Certified credential to a candidate's professional profile, signaling foundational cloud data competency to employers in a market where Azure is used by more than half of Fortune 500 companies. While the certification itself is entry-level and does not command a salary premium on its own, it serves as a documented entry point into the Azure data career path. Professionals who continue to DP-300 (Azure Database Administrator Associate) or DP-203 (Azure Data Engineer Associate) can target roles with US average salaries in the range of $129,000–$132,000 annually.

The certification is particularly valuable for career changers and early-stage data professionals seeking to validate foundational knowledge before specializing. It supports transitions into roles such as junior data analyst, data technician, cloud administrator with data responsibilities, and business intelligence developer. Because it is a globally recognized Microsoft credential, it retains relevance across industries and geographies, and its low barrier to entry (no prerequisites, low cost, short exam) makes it an efficient first credential in a broader Azure data certification strategy.