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Updated: Aug 15, 2026

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The benefit of obtaining the Microsoft DP-900: Microsoft Azure Data Fundamentals Exam Certification

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Microsoft Azure Data Fundamentals Exam Certification Details:

Exam Price$99 (USD)
Exam CodeDP-900
Number of Questions40-60
Passing Score700 / 1000
Schedule ExamPearson VUE
Books / TrainingDP-900T00-A: Microsoft Azure Data Fundamentals
Duration60 mins
Exam NameMicrosoft Certified - Azure Data Fundamentals
Sample QuestionsMicrosoft Azure Data Fundamentals Sample Questions

Microsoft DP-900 Exam Overview:

Certification Vendor:Microsoft
Exam Name:Microsoft Azure Data Fundamentals
Exam Number:DP-900
Related Certifications:Microsoft Certified: Azure Data Fundamentals
Passing Score:700 / 1000
Exam Duration:65 minutes
Exam Price:USD 99
Available Languages:English, Japanese, Chinese (Simplified), Korean, French, German, Spanish, Portuguese (Brazil), Russian, Indonesian (Indonesia), Arabic (Saudi Arabia), Chinese (Traditional), Italian
Certificate Validity Period:N/A
Exam Format:Multiple-choice, Scenario-based
Real Exam Qty:40-60
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

Certification Paths Available

Upon earning Microsoft Certified: Azure Data Fundamentals, you will be able to advance your career to higher-level certifications. For instance, it can be a starting point for Microsoft Certified: Azure Data Engineer Associate or Microsoft Certified: Azure Database Administrator Associate. However, this fundamental accreditation is not a requirement for earning any of the next certificates. Therefore, all you have to do is to pass Microsoft DP-900 exam and prepare to face the real-world challenges as you advance in your career.

Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-900

Microsoft DP-900 Exam Syllabus Topics:

SectionWeightObjectives
Describe considerations for working with non-relational data on Azure15-20%- Describe non-relational Azure data services
  • 1. Describe Azure File storage
  • 2. Describe Azure Blob storage
  • 3. Describe Azure Table storage
  • 4. Describe Azure Cosmos DB
- Describe non-relational concepts
  • 1. Describe non-relational data offerings
  • 2. Identify non-relational data
Identify considerations for relational data on Azure20-25%- Describe relational Azure data services
  • 1. Describe Azure SQL family of products
  • 2. Describe Azure SQL Database
  • 3. Describe Azure SQL Managed Instance
  • 4. Describe SQL Server on Azure Virtual Machines
  • 5. Describe Azure Database for PostgreSQL
  • 6. Describe Azure Database for MySQL
  • 7. Describe Azure Database for MariaDB
- Describe relational concepts
  • 1. Describe normalization
  • 2. Identify features of relational data
Describe an analytics workload on Azure25-30%- Describe Azure data analytics services
  • 1. Describe Microsoft Fabric
  • 2. Describe Azure Stream Analytics
  • 3. Describe Azure HDInsight
  • 4. Describe Azure Data Factory
  • 5. Describe Azure Synapse Analytics
  • 6. Describe Azure Databricks
- Describe data visualization in Microsoft Power BI
  • 1. Describe Power BI
  • 2. Describe Power BI reports and dashboards
  • 3. Describe Power BI tools and workflow
- Describe analytics concepts
  • 1. Describe data warehousing
  • 2. Describe ETL and ELT processes
  • 3. Describe analytical workloads
  • 4. Describe transactional workloads
Describe core data concepts25-30%- Describe ways to represent data
  • 1. Describe features of structured data
  • 2. Describe features of unstructured data
  • 3. Describe features of semi-structured data
- Identify options for data storage
  • 1. Describe types of databases
  • 2. Describe common formats for data files

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