DP-900: Microsoft Azure Data Fundamentals, Demonstrate knowledge of core data concepts and related Microsoft Azure data services.
Welcome to the top-quality DP-900: Microsoft Azure Data Fundamentals practice tests to help you prepare for your DP-900 exam.
These tests will help you in preparing for the DP-900 exam in 2022/23. All the latest changes are covered. The latest questions are added for the preparation.
Course Updates:
last updated: 29/01/2023
Total 140 questions were divided into three practice sets.
Updated explanations
The course offers the following features:
DETAILED EXPLANATIONS, REFERENCE LINKS – Every question has a detailed explanation and reference links to Microsoft online documentation.
ALWAYS UP TO DATE – These practice tests are constantly updated with new questions and based on the student’s feedback.
HANDPICKED UNIQUE QUESTIONS – We have picked selective questions emphasizing on quality rather than quantity.
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This exam is an opportunity to demonstrate knowledge of core data concepts and related Microsoft Azure data services. Candidates for this exam should have familiarity with Exam DP-900’s self-paced or instructor-led learning material.
This exam is intended for candidates beginning to work with data in the cloud.
Candidates should be familiar with the concepts of relational and non-relational data, and different types of data workloads such as transactional or analytical.
Azure Data Fundamentals can be used to prepare for other Azure role-based certifications like Azure Database Administrator Associate or Azure Data Engineer Associate, but it is not a prerequisite for any of them.
Skills measured
· Describe core data concepts (25–30%)
· Identify considerations for relational data on Azure (20–25%)
· Describe considerations for working with non-relational data on Azure (15–20%)
· Describe an analytics workload on Azure (25–30%)
Functional groups
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
