Practice Exams | Microsoft Azure DP-900 Data Fundamentals from Udemy

In order to set realistic expectations, please note: These questions are NOT official questions that you will find on the official exam. These questions DO cover all the material outlined in the knowledge sections below. Many of the questions are based on fictitious scenarios which have questions posed within them.

The official knowledge requirements for the exam are reviewed routinely to ensure that the content has the latest requirements incorporated in the practice questions. Updates to content are often made without prior notification and are subject to change at any time.

Each question has a detailed explanation and links to reference materials to support the answers which ensures accuracy of the problem solutions.

The questions will be shuffled each time you repeat the tests so you will need to know why an answer is correct, not just that the correct answer was item "B" last time you went through the test.

NOTE: This course should not be your only study material to prepare for the official exam. These practice tests are meant to supplement topic study material.

Should you encounter content which needs attention, please send a message with a screenshot of the content that needs attention and I will be reviewed promptly. Providing the test and question number do not identify questions as the questions rotate each time they are run. The question numbers are different for everyone.

This exam is intended for you, if you’re a candidate beginning to work with data in the cloud.

You should be familiar with:

The concepts of relational and non-relational data.
Different types of data workloads such as transactional or analytical.

You can use Azure Data Fundamentals 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 at a glance

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%)

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, Microsoft Fabric, Azure HDInsight, and Azure Data Factory

Describe consideration for real-time data analytics

Describe the difference between batch and streaming data
Identify Microsoft cloud services for real-time analytics

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

What's inside

Syllabus

<p>This is a Half-Length test compared to tests 3 to 6. This one will give you a warm-up and set your expectations of how the actual exam will be formatted.</p>

<p>If you've done the Half-Length test, you are ready for Full-Length to prepare you for your exam; time to increase your stamina.</p>

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Covers all the material outlined in the official knowledge sections for the DP-900 exam, ensuring comprehensive preparation

Provides detailed explanations and links to reference materials for each question, promoting a deeper understanding of the concepts

Shuffles the questions each time the tests are repeated, encouraging learners to understand the underlying principles rather than memorizing answers

Intended to supplement topic study material, so learners should not rely solely on these practice tests for exam preparation

Focuses on concepts of relational and non-relational data, which are fundamental for working with data in the cloud

Fictitious scenarios are used in many questions, which may not accurately reflect the types of questions found on the official exam

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Practice Exams | Microsoft Azure DP-900 Data Fundamentals with these activities:

Review Relational Database Concepts

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Solidify your understanding of relational database concepts, including normalization and SQL, to better grasp the Azure SQL services covered in the course.

Browse courses on Relational Databases

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Review database normalization principles.
Practice writing basic SQL queries.
Identify different database objects.

Review 'SQL for Data Analysis'

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Enhance your SQL skills with a focused book on data analysis, which will help you better understand how to query and manipulate data within Azure SQL Database and other relational services.

View SQL for Data Analysis on Amazon

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Read the chapters on querying and filtering data.
Practice the SQL exercises provided in the book.

Practice SQL Queries on a Sample Database

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Reinforce your SQL skills by practicing writing queries on a sample database, which will help you become more proficient in using SQL with Azure SQL Database and other relational services.

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Set up a local SQL Server instance.
Download a sample database like AdventureWorks.
Write queries to retrieve and manipulate data.

Four other activities

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Follow Azure Cosmos DB Tutorials

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Deepen your understanding of Azure Cosmos DB by following guided tutorials, which will help you learn how to use its various APIs and features.

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Choose a Cosmos DB API tutorial (e.g., SQL, MongoDB).
Follow the tutorial steps to create and query data.
Experiment with different Cosmos DB features.

Create a Data Visualization Dashboard with Power BI

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Apply your knowledge of Power BI by creating a data visualization dashboard, which will help you understand how to present data effectively and gain insights from it.

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Connect Power BI to a data source.
Create visualizations to represent the data.
Design a dashboard to present the visualizations.

Build a Simple Data Pipeline with Azure Data Factory

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Gain hands-on experience with Azure Data Factory by building a simple data pipeline, which will help you understand how to ingest, transform, and load data in Azure.

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Create an Azure Data Factory instance.
Define a pipeline to copy data from one source to another.
Monitor the pipeline execution and troubleshoot any issues.

Review 'Designing Data-Intensive Applications'

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Gain a deeper understanding of data-intensive application design principles, which will help you make informed decisions when choosing and using Azure data services.

View Secret Colors on Amazon

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Read the chapters on data storage and processing.
Reflect on how the concepts apply to Azure services.

Career center

Learners who complete Practice Exams | Microsoft Azure DP-900 Data Fundamentals will develop knowledge and skills that may be useful to these careers:

Cloud Data Specialist

A Cloud Data Specialist works with cloud-based data storage and processing solutions, often utilizing platforms like Microsoft Azure. This course, focused on Azure Data Fundamentals, helps build a strong foundation in core data concepts, relational and non-relational data considerations within Azure, and analytical workloads. The content covers essential topics like Azure Blob storage, Cosmos DB, and data warehousing options, all crucial for a successful Cloud Data Specialist. Specifically, its coverage of the Azure SQL family and common SQL statements would be beneficial. This course provides practice problems with detailed explanations, ensuring accuracy and reinforcing the theoretical knowledge needed in this role.

See salaries and explore the career path for Cloud Data Specialist

Data Engineer

Data Engineers design, build, and manage the infrastructure for data processing and storage. This course, with its focus on Azure data services, helps a Data Engineer in understanding the different types of data, storage options, and data workloads on the Azure platform. The content covering data ingestion, processing, and real-time analytics using Azure services like Azure Synapse Analytics, Databricks, and Data Factory directly apply to the Data Engineer's daily tasks. The course's detailed approach to practice questions further aids in solidifying understanding of these critical concepts. Understanding of SQL statements is also helpful.

See salaries and explore the career path for Data Engineer

Database Administrator

A Database Administrator manages and maintains databases, ensuring their performance and security. This course focusing on Azure Data Fundamentals will be helpful since it directly prepares candidates with knowledge of relational data concepts, SQL statements, and common database objects. The course explores the Azure SQL family of products, which is critical for a Database Administrator working in an Azure environment. The inclusion of practice problems supports not just recall, but an in-depth understanding of database technologies. This course also looks at various relational database data services.

See salaries and explore the career path for Database Administrator

Data Analyst

A Data Analyst interprets data to identify trends, generate insights, and support business decisions. This course, by covering concepts like data representation, and the differences between transactional and analytical workloads, provides a Data Analyst a strong foundation. The section on Power BI and data visualization is especially useful, as it helps the Data Analyst understand how to present data effectively. Additionally, its coverage of real-time data analytics and Microsoft cloud services provides a foundation for analysis of data from various sources. The practice questions help reinforce these skills.

See salaries and explore the career path for Data Analyst

Cloud Solutions Architect

A Cloud Solutions Architect designs and implements cloud computing solutions. This course, focusing on Microsoft Azure data fundamentals, provides a solid understanding of the core data concepts and Azure data services that a Cloud Solutions Architect needs. This course helps a Cloud Solutions Architect identify appropriate services for data storage, processing, and analytics within Microsoft Azure. It also provides knowledge of relational and non-relational data options in Azure. This helps a Cloud Solutions Architect design effective cloud solutions. These are crucial for this role.

See salaries and explore the career path for Cloud Solutions Architect

Business Intelligence Analyst

A Business Intelligence Analyst focuses on leveraging data to improve business operations. This course can be useful because it covers various aspects of data, including storage, types of workloads, and data visualization in Power BI. This knowledge proves beneficial to a Business Intelligence Analyst as it allows for a stronger understanding of the data lifecycle. The course provides foundational knowledge of relevant cloud services, such as Azure Synapse Analytics and Azure Data Factory which can be useful in working with large sets of data. This foundational knowledge helps a Business Intelligence Analyst present data meaningfully.

See salaries and explore the career path for Business Intelligence Analyst

Cloud Consultant

Cloud Consultants advise organizations on adopting and implementing cloud technologies. This course regarding Microsoft Azure data helps a Cloud Consultant better understand the various Azure data services. It covers relational and non-relational data, different data workloads, and analytics solutions within the Azure cloud. A Cloud Consultant can apply the material from this course to guide organizations in making appropriate cloud decisions. The course provides a basic understanding of Azure services, which is key to providing helpful advice.

See salaries and explore the career path for Cloud Consultant

Data Science Intern

A Data Science Intern typically assists with data collection, cleaning, and analysis. This course, with its exploration of Azure data fundamentals, is beneficial to a Data Science Intern by providing foundational knowledge of data concepts, storage, and processing. The course content would help them grasp the data landscape, understand the differences between data types, and give exposure to Microsoft cloud services. This would prepare them for contributing more effectively in data science projects. The course also covers data visualization, which is important for an intern in this field

See salaries and explore the career path for Data Science Intern

Solutions Architect

A Solutions Architect designs and implements technology solutions to solve business problems. This course, by providing practice in core data concepts and Azure data services, will help a Solutions Architect understand how various cloud technologies work. This is useful because a Solutions Architect needs to recommend appropriate cloud based solutions with a solid understanding of data storage, processing, and analysis. The course covers Azure relational and non-relational data services, data workloads, and the Azure Synapse service, which informs better decisions on technology adoption. It may be useful.

See salaries and explore the career path for Solutions Architect

Junior Data Scientist

Junior Data Scientists conduct data analysis, build models, and assist with data-related tasks. This course covering Azure Data Fundamentals may be helpful in developing a basic understanding of data concepts, relational and non-relational data, and data workloads in Microsoft Azure. The course helps Junior Data Scientists grasp cloud-based data management. It also covers concepts like Power BI for data visualization. This foundational knowledge will help Junior Data Scientists as they develop their skills. It may be useful.

See salaries and explore the career path for Junior Data Scientist

Technical Support Analyst

A Technical Support Analyst provides support for technology infrastructure and software. This course, focusing on Azure Data Fundamentals, may benefit a Technical Support Analyst by familiarizing them with common Microsoft cloud services for data. This role helps stakeholders with issues related to complex hardware and software, and familiarity with the Azure environment may be useful. The content covers how data is stored, processed and helps the Technical Support Analyst better understand issues that arise. It may be useful.

See salaries and explore the career path for Technical Support Analyst

System Administrator

A System Administrator maintains and supports computer systems, networks, and servers. This course may be useful as it provides an overview of Microsoft Azure services. A System Administrator may need to work in such an environment. This course covers data storage concepts and services, and may be useful for understanding the basics of working in the cloud. The content covers data management, which may be pertinent to system administration. It may be useful.

See salaries and explore the career path for System Administrator

Technical Writer

Technical Writers create documentation across different technical fields. This course covering Azure data fundamentals may be helpful. With deep knowledge of the Azure platform, particularly concepts related to cloud data, a Technical Writer may better understand how to communicate these ideas to a less technical audience. The material on data storage, processing, and visualization also provides a basis for creating useful documentation. The practice exams will also help a Technical Writer as they familiarize themselves with the material. It may be useful.

See salaries and explore the career path for Technical Writer

Project Manager

A Project Manager is responsible for planning and overseeing projects from initiation to completion. This course, focused on data fundamentals in Microsoft Azure, may be helpful in order to understand projects involving cloud data environments. A Project Manager can use the concepts learned in this course to better understand and manage such projects. The course covers Azure data services and data workloads which may be helpful to understand relevant aspects of a project. It may be useful.

See salaries and explore the career path for Project Manager

Marketing Analyst

Marketing Analysts focus on analyzing data related to marketing campaigns to inform future strategies. This course, covering Azure data fundamentals, may be useful because it provides an overview of how data is structured, stored, and processed in the cloud. A Marketing Analyst may find some benefit in learning about data handling and analytics with Microsoft Azure. The course includes data visualization concepts, which can be important in presenting marketing data. It may be useful.

See salaries and explore the career path for Marketing Analyst

Practice Exams | Microsoft Azure DP-900 Data Fundamentals

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