Azure DP-900: Data Fundamentals 5 Practice Tests (2026)
About this course
Preparing for the Microsoft Azure Data Fundamentals (DP-900) exam requires more than memorizing service names — it requires understanding how Azure data services are used in real-world scenarios. This course is designed to help you do exactly that through high-quality, exam-focused practice tests.In this course, you’ll get carefully crafted DP-900 practice exams that closely mirror the style, difficulty, and structure of the actual Microsoft exam. Each question is scenario-based and tests your ability to choose the right Azure data service based on requirements such as performance, availability, security, scalability, and cost.You’ll practice key DP-900 topics including:Core data concepts (relational vs non-relational data, transactional vs analytical workloads)Azure SQL Database, SQL Managed Instance, and SQL on Virtual MachinesAzure Cosmos DB, Blob Storage, File Storage, and Data Lake conceptsAnalytics workloads using Azure Synapse Analytics and Azure Data FactoryPower BI fundamentals, including refresh, modeling, and analytics integrationEvery question includes clear explanations, so you understand not just what the correct answer is, but why it’s correct — helping you build confidence for the exam and beyond.Whether you are a student, beginner, data analyst, or IT professional, these practice tests will help you identify weak areas, reinforce key concepts, and walk into the DP-900 exam fully prepared.If your goal is to pass the DP-900 exam on your first attempt with confidence, this course is built for you.
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- 8/35
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Scores how much the provider publishes and who stands behind it — not how well it is taught.
What you'll learn
- understand core data concepts such as relational vs non-relational data
- navigate Azure SQL Database and Azure Cosmos DB
- perform analytics using Azure Synapse Analytics and Power BI
Course objectives
- prepare for the DP-900 exam using high-quality practice tests
- identify weak areas and reinforce key concepts
- build confidence in selecting the right Azure data services based on specific requirements
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