Microsoft Azure Data Fundamentals : DP-900

  • Exam Code: DP-900
  • Exam Name: Microsoft Azure Data Fundamentals
  • Updated: Oct 23, 2026
  • Q & A: 340 Questions and Answers

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About Microsoft Azure Data Fundamentals : DP-900 Exam

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Explain Analytics Workloads on Azure: 25-30%

  • Explain Data Visualization within Microsoft Power BI: You need to have competence in explaining the function of dashboards, interactive reports, and paginated reporting, as well as the workflow within Power BI.
  • Explain Modern Data Warehouse Components: The test takers should understand Azure data services for the latest data warehousing, including Azure Synapse Analytics, Azure HDInsight, Azure Data Lake, and Azure Databricks, as well as explainin the workload and architecture for modern data warehousing.
  • Explain Analytics Workloads: The applicants should be able to explain transactional workloads, data warehousing workloads, and when data warehouse solutions are needed. This subtopic also covers their skills and knowledge associated with the differences between analytics and a transactional workload as well as the differences between real-time and batch.
  • Explain Data Processing & Ingestion on Azure: The learners should be able to explain the fundamental practices for data loading, Azure Data Factory components, and data processing options.

The Microsoft DP-900 (Microsoft Azure Data Fundamentals) is the single exam students will have to overcome if they want to attain the Microsoft Certified: Azure Data Fundamentals certificate. Those who hold this certification can become a developer, data engineer, data administrator, or data analyst.

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

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Microsoft DP-900 Exam Syllabus Topics:

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

Microsoft Azure Data Fundamentals Sample Questions:

Question #1

Which Azure SQL offering supports automatic database scaling and automatic pausing of the database during inactive periods?

  • A. Azure SQL managed instance
  • B. Azure SQL Database elastic pod
  • C. Azure SQL Database serveless
  • D. Azure SQL Database Hyperscale
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

Question #2

You have an application that runs on Windows and requires access to a mapped drive.
Which Azure service should you use?

  • A. Azure Table storage
  • B. Azure Blob storage
  • C. Azure Cosmos DB
  • D. Azure Files
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

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Question #3

For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

Reveal Solution  Discussion  0

Correct Answer:


Explanation:

Box 1: No
A pipeline is a logical grouping of activities that together perform a task.
Box 2: Yes
You can construct pipeline hierarchies with data factory.
Box 3: Yes
A pipeline is a logical grouping of activities that together perform a task.
Reference:
https://mrpaulandrew.com/2019/09/25/azure-data-factory-pipeline-hierarchies-generation-control/

Question #4

Which scenario is an example of a streaming workload?

  • A. sending cloud infrastructure metadata every 30 minutes
  • B. sending transactions daily from point of sale (POS) devices
  • C. sending telemetry data from edge devices
  • D. sending transactions that are older than a month to an archive
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

Question #5

Your company is designing a data store that will contain student data. The data has the following format.

Which type of data store should you use?

  • A. graph
  • B. key/value
  • C. object
  • D. columnar
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

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