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Microsoft DP-900

DP-900

Exam Code: DP-900

Exam Name: Microsoft Azure Data Fundamentals

Updated: Aug 09, 2026

Q&A Number: 320 Q&As

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About Microsoft DP-900 Exam Questions and Answers

Workload analytics on Azure

  • Data visualization in Microsoft Power BI – this topic requires candidates to learn more about paginated reporting, dashboards, interactive reports, as well as workflow in Power BI.
  • Elements of a modern data warehouse – this sub-section is focused on Azure data services related to modern data warehousing. In addition, applicants should be familiar with modern data warehousing workload and architecture.
  • Analytics workloads – under this topic, candidates should learn more about transactional workloads as well as data warehousing workloads. Also, they have to get skilled in differentiating between an analytics and a transactional workload, know the difference between real and batch time, and be able to determining when a data warehouse solution is required.
  • Date processing and ingestion on Azure – main topics within this subdomain include data loading common practices, Azure Data Factory components (activities, pipeline, etc.), and data processing.

For more info read reference:

Microsoft learning site Administer infrastructure resources in Azure Azure Storage Azure Network

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

Microsoft DP-900: Microsoft Azure Data Fundamentals Exam Certified Professional salary

The average salary of a Microsoft DP-900: Microsoft Azure Data Fundamentals Exam Certified Expert in

  • India - 12,10,327 INR
  • Europe - 60,547 EURO
  • England - 60,532 POUNDS
  • United States - 80,000 USD

Introduction to Microsoft DP-900: Microsoft Azure Data Fundamentals Exam

Microsoft Azure Data Fundamentals is an exam that identifies individuals who have the knowledge to work with Azure data storage features. Building on previous core principles of data management, Azure Data Fundamentals exam is designed to evaluate the ability of the candidate. Money designed to assess the skills level for both professionals and students. Determine the type of skills required for a particular situation, for example, a cloud administrator or a data analyst. Gen candidate will have to know the fundamentals of Data Management to work with Azure data storage, create tools to manage data, locate, protect and process it. Relevant topics in a data management environment, a certified candidate should understand. Dml, Db, protection tools through recovery, recovery strategies, documentation data management policies, data loss prevention tools to backup and recovery for backup recovery.

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Microsoft DP-900 Exam Syllabus Topics:

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

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