The DP-900 exam validates foundational knowledge of Microsoft Azure data services and core data concepts. This certification is ideal for candidates beginning their journey with Microsoft Azure or those seeking to understand data fundamentals before pursuing advanced certifications. This page provides a structured study roadmap covering the exam's key domains, question formats, and practical preparation strategies to help you build confidence and achieve a passing score.
Use this topic map to guide your study for Microsoft DP-900 (Microsoft Azure Data Fundamentals) within the Microsoft Azure path.
The DP-900 exam uses multiple question types to assess both conceptual knowledge and practical decision-making. Questions progress in difficulty and reflect real-world scenarios you may encounter when working with Microsoft Azure data services.
Each question type reinforces practical reasoning, ensuring you can apply knowledge to real-world decisions, not just recall facts.
A structured study plan breaks the exam into manageable weekly goals and builds confidence through consistent practice. Allocate time proportionally to each domain, prioritize hands-on labs, and use practice tests to identify weak areas before exam day.
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Visit the exam page to download the PDF, Online Practice Test, or get a bundle discount for both formats: Microsoft Azure Data Fundamentals.
Analytics workloads and relational data considerations typically account for a larger portion of the exam. However, all four domains are tested, so balanced preparation across core data concepts, relational and non-relational data, and analytics is essential. Review the official exam skills outline to confirm current weightings.
Real-world solutions often use both. Relational databases handle structured, transactional data with ACID guarantees, while non-relational stores manage semi-structured logs, documents, or high-velocity sensor data. Understanding when to use each, and how they integrate in a data pipeline, reflects how organizations architect modern solutions on Microsoft Azure.
Hands-on labs significantly strengthen retention and confidence. Prioritize creating and querying an Azure SQL Database, exploring Azure Cosmos DB document storage, and building a simple analytics pipeline with Azure Synapse Analytics or Power BI. Even 5-10 hours of sandbox practice clarifies concepts that feel abstract in study materials.
Many candidates confuse service names or capabilities, such as mixing up Azure Data Lake Storage with Blob Storage, or overlooking the difference between Azure SQL Database and SQL Managed Instance. Others rush scenario questions without fully reading requirements, leading to mismatched solution choices. Slow down, read each question twice, and verify your answer aligns with the stated constraints.
Focus on weak areas identified in practice tests rather than re-reading all materials. Take one full-length timed practice test mid-week, review errors, then spend the final days on targeted drills in those domains. Avoid cramming new topics; instead, reinforce what you already know and build confidence through repetition and clarity.
In Azure Table storage, each row in a table must be uniquely identified by which two components?
Each correct answer presents pan of the solution. NOTE: Each correct selection is worth one point.
You need to query a table named Products in an Azure SQL database.
Which three requirements must be met to query the table from the internet? Each correct answer presents part of the solution. (Choose three.)
NOTE: Each correct selection is worth one point.
You have a data store that has the structure shown in the following exhibit.
Which type of data store is this?
You need to gather real-time telemetry data from a mobile application.
Which type of workload describes this scenario?
