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 ways to represent data by examining the characteristics of structured data, which organizes information in defined schemas and tables, semi-structured data that contains some organizational properties like tags and metadata without rigid schemas, and unstructured data such as images, videos, and documents that lack predefined formats. Identify options for data storage by exploring common data file formats including CSV, JSON, and Parquet, understanding the features and capabilities of various data stores such as relational databases, NoSQL databases, and data...
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Topic Content
Identify considerations for relational data on Azure. Describe relational concepts including the identification of features of relational data, normalization and its importance in database design, common structured query language SQL statements used for data manipulation, and common database objects such as tables, views, and indexes. Additionally, describe relational Azure data services by exploring the Azure SQL family of products which encompasses Azure SQL Database for managed cloud-based databases, Azure SQL Managed Instance for hybrid cloud scenarios, and SQL Server on...
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Topic Content
Working with non-relational data on Azure encompasses understanding Azure Storage capabilities and Azure Cosmos DB features. Azure Storage provides three key services Blob storage for storing large unstructured data objects like images and videos, Azure Files for managed file shares accessible via SMB protocol, and Table storage for storing structured NoSQL data in key-value pairs. Azure Cosmos DB is a globally distributed, multi-model database service that supports multiple APIs including SQL, MongoDB, Cassandra, Gremlin, and Table API, making it suitable...
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Topic Content
An analytics workload encompasses the ability to describe common elements of large-scale analytics, including critical considerations for data ingestion and processing, various options available for analytical data stores, and Microsoft cloud services designed for large-scale analytics such as Azure Databricks and Microsoft Fabric. Understanding real-time data analytics is essential, which requires distinguishing between batch and streaming data approaches and identifying appropriate Microsoft cloud services that support real-time analytics capabilities. Data visualization plays a crucial role in analytics, particularly through Microsoft...
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