Microsoft DP-900 Exam Details & Actual Exam Questions

Exam Code/Number: DP-900
Exam Name/Title: Microsoft Azure Data Fundamentals
Certification Provider: Microsoft
Corresponding Certification: Microsoft Certified: Azure Data Fundamentals

Exam Questions: 340
Updated On: Oct,11 2026
Certification Level: Fundamentals

Microsoft Azure Data Fundamentals Exam Questions

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Microsoft DP-900 Exam Overview:

Certification Vendor:	Microsoft
Exam Name:	Microsoft Azure Data Fundamentals
Exam Number:	DP-900
Exam Duration:	65 minutes
Real Exam Qty:	40-60
Exam Format:	Scenario-based, Multiple-choice
Available Languages:	Russian, German, Arabic (Saudi Arabia), Korean, Spanish, Japanese, Italian, Chinese (Traditional), Chinese (Simplified), French, English, Portuguese (Brazil), Indonesian (Indonesia)
Related Certifications:	Microsoft Certified: Azure Data Fundamentals
Passing Score:	700 / 1000
Exam Price:	USD 99
Certificate Validity Period:	N/A
Sample Questions:	Microsoft DP-900 Sample Questions
Exam Way:	Pearson VUE
Pre Condition:	There are no prerequisites for this exam.
Official Syllabus URL:	https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/dp-900

Microsoft DP-900 Exam Syllabus Topics:

Section	Weight	Objectives
Describe core data concepts	25-30%	- Identify options for data storage 1. Describe common formats for data files 2. Describe types of databases - Describe ways to represent data 1. Describe features of structured data 2. Describe features of unstructured data 3. Describe features of semi-structured data
Describe an analytics workload on Azure	25-30%	- Describe Azure data analytics services 1. Describe Azure Stream Analytics 2. Describe Azure Databricks 3. Describe Azure HDInsight 4. Describe Microsoft Fabric 5. Describe Azure Synapse Analytics 6. Describe Azure Data Factory - Describe data visualization in Microsoft Power BI 1. Describe Power BI tools and workflow 2. Describe Power BI 3. Describe Power BI reports and dashboards - Describe analytics concepts 1. Describe data warehousing 2. Describe transactional workloads 3. Describe analytical workloads 4. Describe ETL and ELT processes
Describe considerations for working with non-relational data on Azure	15-20%	- Describe non-relational Azure data services 1. Describe Azure Table storage 2. Describe Azure Blob storage 3. Describe Azure File storage 4. Describe Azure Cosmos DB - Describe non-relational concepts 1. Identify non-relational data 2. Describe non-relational data offerings
Identify considerations for relational data on Azure	20-25%	- Describe relational concepts 1. Identify features of relational data 2. Describe normalization - Describe relational Azure data services 1. Describe SQL Server on Azure Virtual Machines 2. Describe Azure SQL Database 3. Describe Azure Database for MariaDB 4. Describe Azure Database for PostgreSQL 5. Describe Azure SQL family of products 6. Describe Azure Database for MySQL 7. Describe Azure SQL Managed Instance