DP-900 Microsoft Azure Data Fundamentals Exam Topics and Questions
These Microsoft Azure Data Fundamentals (DP-900) exam topics are organized according to official exam domains to help candidates quickly verify coverage and focus on assessment rather than theory. Each domain is paired with topic-wise DP-900 sample questions that reflect how objectives are tested in the actual exam. This structure enables efficient review, targeted self-assessment, and rapid identification of weak areas when preparing for the Microsoft Azure Data Fundamentals certification exam.
Let's Practice Free Microsoft DP-900 Questions Aligned with Official Exam Topics
Exam Contains: 4 Topics
Topic Content
Describe core data concepts by exploring the fundamental methods used to represent data in various formats and structures. Understand the different storage options available for managing data, including on-premises, cloud-based, and hybrid solutions. Learn about common data workloads such as analytical processing, transactional systems, and real-time data streaming that organizations typically handle. Identify the key roles and responsibilities involved in managing data workloads, including data engineers, data analysts, database administrators, and data scientists. Recognize how each role contributes to the...
See
More
Topic Content
Relational data management on Azure requires understanding fundamental relational concepts including tables, rows, columns, keys, relationships, and normalization principles that form the foundation of structured data organization. Azure offers multiple relational database services designed to meet different business needs, such as Azure SQL Database for managed SQL Server capabilities, Azure Database for MySQL and PostgreSQL for open-source relational databases, and Azure SQL Managed Instance for enterprise-level SQL Server deployments. When selecting a relational data service on Azure, organizations must consider...
See
More
Topic Content
Working with non-relational data on Azure involves understanding two primary services that handle unstructured and semi-structured information. Azure Storage provides scalable, secure cloud storage solutions with capabilities including blob storage for large binary objects, table storage for NoSQL data, queue storage for asynchronous messaging, and file shares for managed file systems. Azure Cosmos DB is a globally distributed, multi-model database service that supports various data formats including documents, key-value pairs, graphs, and columnar data with features such as automatic scaling,...
See
More
Topic Content
Analytics workloads encompass the collection, processing, and analysis of large volumes of data to derive meaningful business insights. Common elements of large-scale analytics include data ingestion from multiple sources, data storage in scalable repositories, data processing and transformation, and the application of analytical techniques to uncover patterns and trends. Real-time data analytics requires consideration of low-latency processing capabilities, streaming data architectures, and the ability to handle continuous data flows while maintaining data quality and consistency. Organizations must also evaluate infrastructure...
See
More
Ready to Start Practicing?
Access all questions and start your exam preparation journey
Upgrade to Full DP-900 Exam Questions 🚀
