Exam DP-900: Microsoft Azure Data Fundamentals

Exam DP-900: Microsoft Azure Data Fundamentals is designed for candidates having good foundational knowledge of core data concepts. The Azure Data Fundamentals exam can be used for preparing for other Azure role-based certifications that include Azure Database Administrator Associate or Azure Data Engineer Associate.

Knowledge required for the exam

Candidates applying for the Microsoft Azure DP-900 exam must know how to implement core data concepts using Microsoft Azure data services.
They must have familiarity with the concepts of relational and non-relational data as well as different types of data workloads such as transactional or analytical.
Candidates for this exam should begin to work with data in the cloud.

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Learning Objectives

Microsoft provides exam objectives that help the candidates in understanding and knowledge about the concepts before preparation. Moreover, these exam concepts are provided with sections and subsections to make you learn about them in-depth. For the Azure Fundamentals DP-900 exam, Microsoft includes training resources that provide a learning path to help you during the studying time. However, the basic concepts include:

Describing core data concepts in Azure
Explaining the concepts of relational data in Azure
Explaining the concepts of non-relational data in Azure
Identifying components of a modern data warehouse in Azure

Microsoft DP-900: Interview Questions

Use the Microsoft Azure Fundamentals Interview questions to earn your dream job role.

Learning Path

Microsoft provides candidates access to the Microsoft Azure DP-900 learning path that helps them to understand the concepts in a step-by-step format. However, these learning paths include modules that help candidates to enhance their skills and knowledge. The modules include:

Core Data Concepts
Non-relational data on Azure
Relational data on Azure
Analytics workload on Azure

Microsoft DP-900 Learning Path — **Image Source: Microsoft**

Exam Format

Microsoft Azure Data Fundamentals DP-900 exam consists of 40-60 questions. Talking about the DP-900 exam questions, they can be of type scenario-based single answer questions, multiple-choice questions, arrange in the correct sequence type questions, drag & drop questions, mark review, drag, and drop, etc. However, to pass the exam, the DP-900 exam passing score is set to a score minimum of 700 or more. To apply for the exam, the examination fee is $99 USD including taxes. And, candidates can give the exam in English, Japanese, Chinese (Simplified), Korean, French, German, and Spanish language.

Microsoft Azure Data Fundamentals Exam details

Scheduling Exam

Microsoft DP-900 certification exam measures candidates to describe the core data concepts with the process of working with relational data on Azure. They must know how to work with non-relational data on Azure and have knowledge about analytics workload on Azure. However, the candidates can schedule their exam at

Course Outline for the Exam

The updated Microsoft DP-900 exam topics include:

1. Describe core data concepts (25—30%)

Describe ways to represent data

Describe features of structured data (Microsoft Documentation: Understand data store models)
Describe features of semi-structured (Microsoft Documentation: Query semi-structured data in SQL)
Describe features of unstructured data (Microsoft Documentation: Understand data store models)

Identify options for data storage

Describe common formats for data files (Microsoft Documentation: Data formats supported by Azure Data Explorer for ingestion)
Describe types of databases (Microsoft Documentation: System Databases)

Describe common data workloads

Describe features of transactional workloads (Microsoft Documentation: Online transaction processing (OLTP))
Describe features of analytical workloads (Microsoft Documentation: Azure Cosmos DB analytical store)

Identify roles and responsibilities for data workloads

Describe responsibilities for database administrators
Describe responsibilities for data engineers (Microsoft Documentation: Data engineer)
Describe responsibilities for data analysts

2. Identify considerations for relational data on Azure (20—25%)

Describe relational concepts

Identify features of relational data (Microsoft Documentation: Describe concepts of relational data)
Describe normalization and why it is used (Microsoft Documentation: Description of the database normalization basics)
Identify common structured query language (SQL) statements (Microsoft Documentation: Structured Query Language (SQL))
Identify common database objects (Microsoft Documentation: Database Identifiers)

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 (Microsoft Documentation: Azure SQL, Azure SQL Database, SQL Server on Windows Azure Virtual Machines)
Identify Azure database services for open-source database systems (Microsoft Documentation: Azure SQL Database)

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

Describing capabilities of Azure storage

Describe Azure Blob storage (Microsoft Documentation: Azure Blob storage)
Describe Azure File storage (Microsoft Documentation: Azure Files)
Describe Azure Table storage (Microsoft Documentation: Azure Table storage)

Describe capabilities and features of Azure Cosmos DB

Identify use cases for Azure Cosmos DB (Microsoft Documentation: Common Azure Cosmos DB use cases)
Describe Azure Cosmos DB APIs (Microsoft Documentation: Azure Cosmos DB: REST API Reference)

4. Describe an analytics workload on Azure (25—30%)

Describing common elements of large-scale analytics

Describe considerations for data ingestion and processing (Microsoft Documentation: Azure Data Explorer data ingestion overview)
Describe options for analytical data stores (Microsoft Documentation: Choose an analytical data store in Azure)
Describe Azure services for data warehousing, including Azure Synapse Analytics, Azure Databricks, Azure HDInsight, and Azure Data Factory (Microsoft Documentation: Data warehousing in Microsoft Azure, Azure Synapse Analytics)

Describe consideration for real-time data analytics

Describe the difference between batch and streaming data (Microsoft Documentation: Explore fundamentals of real-time analytics)
Identify Microsoft cloud services for real-time analytics

Describe data visualization in Microsoft Power BI

Identify capabilities of Power BI (Microsoft Documentation: Power BI)
Describe features of data models in Power BI (Microsoft Documentation: Model data in Power BI)
Identify appropriate visualizations for data (Microsoft Documentation: Visualization types in Power BI)

Exam Policies

Microsoft provides exam policies to help the candidates to plan and manage a positive outcome. Microsoft Certification exam policies give candidates access to all the exam-related details, accompanying the before and after exam procedures. These exam policies are the inclusion of certain rules that need to be followed during the exam time or at testing centers.

For more Queries Visit: Microsoft Azure Data Fundamentals DP-900 Exam FAQs

Microsoft DP-900 Exam Study Guide

Microsoft Learning Platform

The learning resource that will be beneficial during the exam preparation is the Microsoft learning platform. However, make sure to go through the official website of Microsoft. For the DP-900 exam, it would be best to first go through the Microsoft official website to get authentic information about the exam. You can easily locate the DP-900 page where you can just go through all the necessary information about the DP-900 exam.

Microsoft Docs

After that, you can move on to Microsoft documentation where you can easily understand the Microsoft Azure Data Fundamentals exam concepts using the learning concepts that cover various modules. These Microsoft Docs modules will help you gain a lot of knowledge about Azure data concepts and the different services in the same. The DP-900 exam learning concepts include:

Firstly, Exploring core data concepts
Secondly, Studying about relational data in Azure
Thirdly, Studying about non-relational data in Azure
Lastly, Exploring modern data warehouse analytics in Azure

Instructor-led Training

Microsoft provides Instructor-led Training courses for candidates to learn the fundamentals of database concepts in a cloud environment. Moreover, to get basic skills in cloud data services, and build their foundational knowledge of cloud data services within Microsoft Azure. Candidates in this will identify and explain core data concepts such as relational, non-relational, big data, and analytics. Further, in DP-900 training, they will explore the roles, tasks, and responsibilities in the world of data. They will understand the relational and non-relational data offerings, provisioning, and deploying databases. And, they will explore Azure Synapse Analytics, Azure Databricks, and Azure HDInsight including Power BI.

Online Study Groups

One thing that will be beneficial during the exam preparation time is to join study groups. As these groups will help you to stay connected with the other people who are on the same pathway as yours. Moreover, here you can start any discussion about the issue related to the exam or any query. By doing so, you will get the best possible answer to your query.

Practice Tests

This can be a very essential part that can help you to prepare better for the exam. That is to say, Microsoft DP-900 practice tests are important as by assessing yourself with these tests you will know about your weak and strong areas. However, by practicing you will be able to improve your answering skills that will result in saving a lot of time. Moreover, the best way to start doing practice tests is after completing one full topic as this will work as a revision part for you. So, make sure to find the best practice sources.

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