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  • Exam Code: DP-900
  • Exam Name: Microsoft Azure Data Fundamentals
  • Updated: Aug 14, 2026
  • Q & A: 332 Questions and Answers
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How to operate with non-relational data on Azure

The main concepts covered in this domain include:

  • Offerings non-relational data on Azure – within this topic, the learner will be conversant with the following in Azure: data services, Cosmos DB APIs, Table storage, Blob storage, File storage.
  • Core administration tasks – this sub-domain covers the processes of deployment and provisioning when it comes to non-relational data, data security, diverse tools for management, and defining the issues with connectivity.
  • Non relation data workloads – this sub-section mostly emphasizes the features of non-relational data, when to use it, one's knowledge of the variants of NoSQL and non-relational data, and the ability to choose and recommend appropriate data store.

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

Microsoft DP-900 Exam Syllabus Topics:

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

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