Microsoft DP-900 Exam Dumps

Microsoft DP-900 Exam Questions

Microsoft Azure Data Fundamentals
Total Questions : 319
Update Date : July 16, 2026
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DP-900 Exam Dumps – Updated Microsoft Azure Data Fundamentals Practice Questions

Introduction to the Microsoft Azure Data Fundamentals Certification Exam

The DP-900 certification exam is an important credential for professionals who want to validate their knowledge and understanding of concepts, tools, and best practices related to Microsoft Azure Data Fundamentals. This exam is widely recognized and is often pursued by candidates looking to strengthen their professional profile and improve career opportunities.

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Knowledge Areas Covered in the DP-900 Exam

The Microsoft Azure Data Fundamentals exam evaluates a candidate’s understanding of key knowledge areas relevant to the certification. While exact topics may vary, the exam generally focuses on:

  • Core concepts related to Microsoft Azure Data Fundamentals
  • Understanding of tools, technologies, or frameworks covered in the exam
  • Application of best practices and standard methodologies
  • Problem-solving and analytical thinking
  • Scenario-based or concept-driven questions

A structured preparation approach using real DP-900 exam questions helps candidates focus on the areas that matter most.

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  • Attempting timed practice tests to evaluate readiness
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Microsoft DP-900 Sample Questions

Question # 1

Which statement is an example of Data Manipulation Language (DML)? 

A. REVOKE 
B. DISABLE 
C. CREATE 
D. UPDATE 

Answer : D


Question # 2

Which three actions are used when performing diagnostic analytics? 

A. • Identify data anomalies • Collect anomaly-related data • Discover relationships and trends that explain anomalies. 
B. • Identify data anomalies • Predict when anomalies are likely to recur • Use analytical tools such as decision trees and regression. 
C. • Apply serf-learning loops to draw inferences from anomalies. • Predict when anomalies are likely to recur • Use analytical tools such as decision trees and regression. 
D. • Identify data anomalies • Use machine learning to find patterns in large datasets. • Discover relationships and trends that explain anomalies. 

Answer : A


Question # 3

You plan to deploy an app. The app requires a nonrelational data service that will provide latency guarantees of less than 10-ms for reads and writes. What should you include in the solution? 

A. Azure Cosmos 
B. Azure Table storage 
C. Azure Files 
D. Azure Blob storage 

Answer : A


Question # 4

You need to use Transact-SQL to query files in Azure Data Lake Storage from an Azure Synapse Analytics data warehouse. What should you use to query the files?

A. Azure Functions 
B. Microsoft SQL Server Integration Services (SSIS) 
C. PolyBase 
D. Azure Data Factory 

Answer : C


Question # 5

Which statement is an example of Data Definition Language (DDL)? 

A. SELECT 
B. JOIN 
C. MERGE 
D. CREATE 

Answer : D


Question # 6

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

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

Answer : B


Question # 7

Your company is designing a database that will contain session data for a website. The data will include notifications, personalization attributes, and products that are added to a shopping cart. Which type of data store will provide the lowest latency to retrieve the data? 

A. key/value
B. graph 
C. columnar 
D. document 

Answer : C


Question # 8

You need to design and model a database by using a graphical tool that supports project oriented offline database development. What should you use? 

A. Microsoft SQL Server Data Tools (SSDT) 
B. Microsoft SQL Server Management Studio (SSMS) 
C. Azure Databricks 
D. Azure Data Studio 

Answer : A


Question # 9

Which Azure Data Factory component provides the compute environment for activities? 

A. a linked service 
B. an integration runtime 
C. a control flow 
D. a pipeline 

Answer : B


Question # 10

What are two characteristics of real-time data processing? Each correct answer present a complete solution. NOTE: Each correct selection is worth one point. 

A. Data is processed as it is created. 
B. Low latency is expected 
C. High latency acceptable 
D. Data is processed periodically 

Answer : A,B


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