Udemy
    •  
    •  
    •  
    •  
    •  
    •  
    •  
    •  
Turn what you know into an opportunity and reach millions around the world.
Learn More
Your cart is empty.
Keep shopping
DP-900 Azure Data Fundamentals hands on course with sims
Role Play
Rating: 4.8 out of 5(80 ratings)
602 students

DP-900 Azure Data Fundamentals hands on course with sims

Get prepared for the DP-900 exam with instructor led labs and hands on simulations available 24/7
Last updated 2/2026
English

What you'll learn

  • Learn the concepts and perform hands on activities needed to pass the DP-900 exam
  • Gain a tremendous amount of knowledge involving data processing in Microsoft Azure
  • Get loads of hands on experience with Microsoft Azure data processing technologies!
  • Utilize hands on simulations that can be access anytime, anywhere!

Course content

15 sections81 lectures7h 39m total length
  • Welcome to the course!4:20

    Explore a hands-on DP-900 Azure data fundamentals course with simulations you can run in a web browser and a lab setup, designed to help you pass the exam.

  • Understanding the Microsoft 365 and Azure Environment1:48

    Build a solid foundation by exploring on-premises Active Directory and domain services, RAR, DMZ, and virtualization, then map Microsoft 365, Azure, IaaS, PaaS, and SaaS.

  • Having a Solid Foundation of Active Directory Domains12:11

    Explore the foundations of Active Directory domains, domain controllers, and centralization through DNS, Kerberos, NTLM, and LDAP. Understand replication, GPOs, and the move from on-prem to cloud in Microsoft administration.

  • Having a Solid Foundation of RAS, DMZ, and Virtualization13:09

    Explore the foundations of secure access and virtualization, from Active Directory and LDAP with Kerberos to RAS, VPN, DMZ and perimeter networks, and virtualization with Hyper-V and VMware.

  • Having a Solid Foundation of the Microsoft Cloud Services17:14

    Explore how cloud services evolved from hosting virtual machines to IaaS, PaaS, and SaaS, and how Azure and Microsoft 365 use directory services like Azure AD and Intro ID.

  • DONT SKIP: The first thing to know about Microsoft cloud services2:09

    Navigate the dynamic Microsoft cloud landscape by embracing agility as changes in Azure and Microsoft 365 appear weekly, with menus, buttons, and naming shifting.

  • DO NOT SKIP: Portals renamed!1:51

    Discover how Microsoft renames portals and identities, from Azure Active Directory to IntraID, and access updated links at portals.examlabpractice.com and admin.microsoft.com.

  • Questions for John Christopher5:41

    John Christopher invites questions and demonstrates searching of Microsoft docs for topics like Microsoft 365 dynamic query based groups. He directs learners to examlabpractice.com and Udemy for updates and exams.

  • Order of concepts covered in the course1:28

    Clarifies why exam objectives aren’t always in learning order and shows how arranging foundational concepts before advanced ones improves understanding in the dp-900 azure data fundamentals course.

  • Certificate of Completion0:33

Requirements

  • Willingness to put in the time and practice the steps shown in the course

Description

We really hope you'll agree, this training is way more than the average course on Udemy!

Have access to the following:

  • Training from an instructor of over 25 years who has trained thousands of people and also a Microsoft Certified Trainer

  • Lecture that explains the concepts in an easy to learn method for someone that is just starting out with this material

  • Instructor led hands on and simulations to practice that can be followed even if you have little to no experience

TOPICS COVERED INCLUDING HANDS ON LECTURE AND PRACTICE TUTORIALS:

Introduction

  • Welcome to the course

  • Understanding the Microsoft Environment

  • Having a Solid Foundation of Active Directory Domains

  • Having a Solid Foundation of RAS, DMZ, and Virtualization

  • Having a Solid Foundation of the Microsoft Cloud Services

  • Order of concepts covered in the course

Setting up for hands on

  • IMPORTANT Using Assignments in the course

  • Creating a free Azure Account

  • Activating Entra ID P2 license

Describe ways to represent data

  • Features of structured data

  • Features of semi-structured

  • Features of unstructured data

Identify options for data storage

  • Understanding formats for data files

  • Relational databases as a type of data storage

  • Creating a relational database in Azure using Microsoft SQL

  • Installing SQL Server Management Studio (SSMS) for connecting to SQL

  • Connecting to a SQL database with SSMS

  • Non-relational databases as a type of data storage

  • Creating a non-relational database in Azure using Microsoft Cosmos

  • Connecting to a Microsoft Cosmos database

Describe common data workloads

  • Features of transactional workloads

  • Features of analytical workloads

Identify roles and responsibilities for data workloads

  • Responsibilities for database administrators

  • Permissions in Azure regarding a database administrator

  • Responsibilities for data engineers

  • Permissions in Azure regarding a data engineers

  • Responsibilities for data analysts

  • Permissions regarding a data analysts

Describe relational concepts

  • Features of relational data

  • Normalization and why it is used

  • Creating an Azure VM with Microsoft SQL server

  • Using common structured query language (SQL) statements

  • A look at common database objects

Describe relational Azure data services

  • Azure SQL Family: Azure SQL Database, SQL Managed Instance, SQL Server on VMs

  • Azure database services for open-source database systems

Describe capabilities of Azure storage

  • Understanding the capabilities of Azure storage accounts

  • Creating a storage account to explore Blob, File, & Table storage capabilities

  • Securing a Azure storage account

  • Utilizing Azure Blob storage

  • Utilizing Azure File storage

  • Utilizing Azure Table storage

Describe capabilities and features of Azure Cosmos DB

  • Use cases for Azure Cosmos DB

  • Understanding the Azure Cosmos DB APIs

  • Deleting the existing Cosmos DB before moving on

  • Creating a new Cosmos DB account for NoSQL

  • Adding and querying data within a Cosmos DB for NoSQL

  • Cleaning up our lab environment to this point

Describe common elements of large-scale analytics

  • Considerations for data ingestion and processing

  • Understanding Azure Data Lake storage

  • Creating an Azure Data Lake storage account

  • Understanding Azure Databricks

  • Visualizing Azure Synapse Analytics

  • Registering Azure Synapse as a resource provider in Azure

  • Setting up a SQL DB and server for use with Azure Synapse Analytics

  • Creating a Azure Synapse workspace and Data Lake Storage account

  • Concepts of SQL Pool usage with Azure Synapse Analytics

  • Purposes of Azure HDInsight

  • Understanding Azure Data Factory

  • Setting up an Azure Data Factory resources

  • Using Azure Data Factory to copy data into Azure Synapse Analytics <AZ-305>

Describe consideration for real-time data analytics

  • Understanding the difference between batch and streaming data

  • Concepts of Azure Stream Analytics

  • Creating an Azure Stream Analytics job for real-time analytics

  • Benefits of using Apache Spark

  • Cleaning up the existing resources before moving on

Describe data visualization in Microsoft Power BI

  • Capabilities of Power BI

  • Downloading and installing Power BI Desktop

  • Creating a database with data for testing Power B

  • Connecting Power BI to a SQL database and performing an import

  • Features of data models in Power BI

  • Using the appropriate visualizations for data

Who this course is for:

  • IT people interested in learning and passing the Microsoft DP-900 exam!