DP-900: Microsoft Azure Data Fundamentals Exam : 2025

About DP-900: Microsoft Azure Data Fundamentals Exam : 2025

Azure Data Fundamentals with our unique DP-900 practice questions. Prepare with confidence and demonstrate your data prowess to excel in the DP-900 exam. With our 100% original content and a comprehensive set of practice questions at your disposal, you're well on your way to becoming a certified Azure Data Fundamentals professional. Enroll now and embark on your journey toward data excellence. Our careful selection of questions covers the most up-to-date and relevant topics, allowing you to assess and improve your understanding of how Azure empowers businesses to effectively and innovatively manage their data. From storage frameworks to data analysis techniques, this practice exam offers a comprehensive insight into the principles that drive the success of data projects in the cloud.

DP-900 : Microsoft Azure Data Fundamentals

Exam Name :

Microsoft Certified - Azure Data Fundamentals

Exam code:

DP-900

Exam voucher cost:

$99 USD

Exam languages:

English, Japanese, Korean, and Simplified Chinese

Exam format:

Multiple-choice, multiple-answer

Number of questions:

40-60 (estimate)

Length of exam:

60 minutes

Passing grade:

Score is from 750-1000.

DP-900 : Microsoft Azure Data Fundamentals Exam Syllabus Topics:

Describe core data concepts (25–30%)

Describe ways to represent data

Describe features of structured data

Describe features of semi-structured

Describe features of unstructured data

Identify options for data storage

Describe common formats for data files

Describe types of databases

Describe common data workloads

Describe features of transactional workloads

Describe features of analytical workloads

Identify roles and responsibilities for data workloads

Describe responsibilities for database administrators

Describe responsibilities for data engineers

Describe responsibilities for data analysts

Identify considerations for relational data on Azure (20–25%)

Describe relational concepts

Identify features of relational data

Describe normalization and why it is used

Identify common structured query language (SQL) statements

Identify common database objects

Describe relational Azure data services

Describe the Azure SQL family of products including Azure SQL Database, Azure SQL

Managed Instance, and SQL Server on Azure Virtual Machines

Identify Azure database services for open-source database systems

Describe considerations for working with non-relational data on Azure (15–20%)

Describe capabilities of Azure storage

Describe Azure Blob storage

Describe Azure File storage

Describe Azure Table storage

Describe capabilities and features of Azure Cosmos DB

Identify use cases for Azure Cosmos DB

Describe Azure Cosmos DB APIs

Describe an analytics workload on Azure (25–30%)

Describe common elements of large-scale analytics

Describe considerations for data ingestion and processing

Describe options for analytical data stores

Describe Azure services for data warehousing, including Azure Synapse Analytics, Azure Databricks, Azure HDInsight, and Azure Data Factory

Describe consideration for real-time data analytics

Describe the difference between batch and streaming data

Describe technologies for real-time analytics including Azure Stream Analytics, Azure Synapse Data Explorer, and Spark Structured Streaming

Describe data visualization in Microsoft Power BI

Identify capabilities of Power BI

Describe features of data models in Power BI

Identify appropriate visualizations for data Get ready to master the fundamental concepts of data in Microsoft Azure with our 2024 DP-900 Practice Exam. This comprehensive practice exam provides a unique opportunity to test your knowledge of essential principles of data storage, processing, and analysis on the Azure platform. With a variety of questions covering the most relevant and current topics, you'll be able to assess your understanding of core data concepts and their application in the Azure cloud environment. Be prepared to enhance your skills and gain the confidence needed to tackle the challenges of the data world with Microsoft Azure.