Microsoft Azure Data Fundamentals (DP-900)
DP-900
An entry-level Microsoft certification that validates foundational knowledge of core data concepts and how they map to Azure data services. It covers relational and non-relational data, and analytics workloads — including Azure SQL, Cosmos DB, Synapse, Microsoft Fabric, and Power BI.
45
60 min
700/ 1000
181+
Target Audience
Anyone starting with cloud data services — beginners, students, and non-technical roles who want to understand Azure data fundamentals.
Prerequisites
None. No coding or prior cloud experience required.
Question Types
Language & Recognition
Official Exam Languages
PasslyExam Languages
Recognition Scope
Microsoft Certified: Azure Data Fundamentals — a lifetime, globally recognized entry-level credential.
Exam Domains
Describe core data concepts
Relational data on Azure
Non-relational data on Azure
Analytics workloads on Azure
Recommended Study Plan
- Week 1: Nail the core data concepts — tell structured/semi-structured/unstructured data apart, OLTP vs OLAP, and the data roles (DB administrator, data engineer, data analyst) using short scenarios.
- Week 2: Map Azure services by "when to use which" — build a table comparing relational (SQL Database, SQL Managed Instance, SQL Server on a VM, PostgreSQL/MySQL) against non-relational (Blob access tiers, Cosmos DB APIs).
- Week 3: Strengthen the analytics workload — ETL vs ELT, batch vs streaming, the roles of Databricks/Microsoft Fabric/Synapse/Data Factory, and Power BI report vs dashboard.
- Final 5–7 days: Run timed mocks to get comfortable with drag-and-drop and multiple-answer items, and clear the mistakes caused by confusing similar services.
Question Validation Process
Try the practice set directly and judge real-exam similarity yourself.
Frequently Asked Questions
Q. Is DP-900 beginner-friendly?
A. Yes. It requires no coding and no prior cloud experience. What moves your score is being able to explain why a specific Azure data store or service fits a requirement, rather than memorizing names. Practicing the boundaries between the three relational options (SQL Database vs Managed Instance vs SQL Server on a VM), Blob access tiers, and Cosmos DB APIs on short scenarios reduces early mistakes quickly.
Q. What kinds of questions show up?
A. The exam favors concept distinctions and service selection over plain definitions. Paired, easy-to-confuse items recur: structured/semi/unstructured, OLTP vs OLAP, ETL vs ELT, batch vs streaming, and Power BI report vs dashboard. The July 2026 update increased the emphasis on Azure Databricks and Microsoft Fabric for large-scale analytics, so make sure you can state each one’s role.
Q. What is the passing score and how long should I prepare?
A. You need 700 out of 1000 to pass, across roughly 40–60 questions in 60 minutes. Because it is a fundamentals exam, 2–4 weeks of focused study is usually enough. When your last three mocks hold around 80% and service-confusion errors are declining, you are generally in a safe range.
Q. How do practice questions and the timed mock exam differ?
A. Practice questions are solved by topic with answer explanations to shore up weak areas; the timed mock exam is taken like the real thing. Both use original questions with AI tutor explanations.
Q. Is this similar to exam dumps?
A. PasslyExam does not provide leaked dumps. Our content is built from official guides and public exam objectives, then tuned to reflect realistic question patterns and difficulty distribution. The focus is practical readiness with explanation-based learning, not memorization of leaked items.
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