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Microsoft DP-900

DP-900

Exam Code: DP-900

Exam Name: Microsoft Azure Data Fundamentals

Updated: Oct 19, 2026

Q & A: 340 Questions and Answers

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Explain Analytics Workloads on Azure: 25-30%

  • 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 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 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.

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

Explain the Techniques Involved in Working with Relational Data on Microsoft Azure: 25-30%

  • Explain the Concepts of Relational Data Workloads: The examinees should be able to explain the structures of relational data and identify the appropriate data for relational workloads.
  • Explain the Query Methods for Data with the SQL Language: The learners should be capable of comparing the Data Manipulation Language with the Data Definition Language. They should also be able to query relational data within Azure Database for MySQL, Azure SQL Database, and Azure Database for PostgreSQL.
  • Identify the Fundamental Management Tasks for Relational Data: The applicants should be able to explain the deployment and provisioning of relational data services. They also need to understand the techniques for deployment, such as Azure Resource Manager templates, Azure portal, Azure CLI, and Azure PowerShell. In addition, the students should be able to identify the fundamental connectivity issues and components of data security.
  • Explain Relational Azure Data Services: The individuals should have the ability to explain and compare SaaS, PaaS, and IaaS solutions as well as Azure Synapse Analytics. They also need the knowledge of Azure SQL database services, Azure Database for PostgreSQL, Azure Database for MySQL, and Azure Database for MariaDB.

Microsoft DP-900 Exam Syllabus Topics:

SectionWeightObjectives
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 common formats for data files
  • 2. Describe types of databases
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 Table storage
  • 3. Describe Azure Cosmos DB
  • 4. Describe Azure Blob storage
- Describe non-relational concepts
  • 1. Describe non-relational data offerings
  • 2. Identify non-relational data
Describe an analytics workload on Azure25-30%- 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 transactional workloads
  • 3. Describe analytical workloads
  • 4. Describe ETL and ELT processes
- Describe Azure data analytics services
  • 1. Describe Azure Stream Analytics
  • 2. Describe Azure Synapse Analytics
  • 3. Describe Microsoft Fabric
  • 4. Describe Azure Databricks
  • 5. Describe Azure Data Factory
  • 6. Describe Azure HDInsight
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 Azure SQL Database
  • 2. Describe Azure Database for MySQL
  • 3. Describe Azure SQL family of products
  • 4. Describe SQL Server on Azure Virtual Machines
  • 5. Describe Azure Database for MariaDB
  • 6. Describe Azure Database for PostgreSQL
  • 7. Describe Azure SQL Managed Instance

Microsoft Azure Data Fundamentals Sample Questions:

Question #1
Select the answer that correctly completes the sentence.


Question #2
Your company needs to implement a relational database in Azure. The solution must minimize ongoing maintenance.
Which Azure service should you use?

A. SQL Server on Azure virtual machines
B. Azure HDInsight
C. Azure SQL Database
D. Azure Cosmos DB


Question #3
A bank needs to ensure that after an account transfer transaction completes, the revised account balances persists even if the database system hosting the transaction becomes temporarily unavailable.
Of which ACID semantic is this an example?

A. atomicity
B. isolation
C. durability
D. consistency


Question #4
Select the answer that correctly completes the sentence.


Question #5
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.


Solutions:

Question #1
Correct Answer: Only visible for members
Question #2
Correct Answer: C
Question #3
Correct Answer: C
Question #4
Correct Answer: Only visible for members
Question #5
Correct Answer: Only visible for members

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