Master the basics with the Microsoft Certified: Azure Data Fundamentals certification.

This Azure Data Fundamentals certification offers the foundation you need to build your technical skills and start working with data in the cloud. Mastering the basics can help you jump-start your career and prepare you to dive deeper into other technical opportunities Azure offers.

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Build Malaysia’s AI & Data-Driven Future. Explore the top Data and AI certifications for 2026.

Overview

Unlock the potential of your data with Azure Data Fundamentals credential.

To master data in the cloud, you need the right foundation—a solid understanding of core data concepts, such as relational data, nonrelational data, big data, and analytics. Plus familiarity with the roles, tasks, and responsibilities in the world of data and data analytics.

In this DP-900T00: Microsoft Azure Data Fundamentals course, students will learn:

  • the fundamentals of database concepts in a cloud environment
  • get basic skilling in cloud data services
  • build their foundational knowledge of cloud data services within Microsoft Azure
  • identify and describe core data concepts such as relational, non-relational, big data, and analytics, and explore how this technology is implemented with Microsoft Azure
  • explore the roles, tasks, and responsibilities in the world of data
  • explore relational data offerings, provisioning and deploying relational databases, and querying relational data through cloud data solutions with Microsoft Azure
  • explore non-relational data offerings, provisioning and deploying non-relational databases, and non-relational data stores with Microsoft Azure
  • explore the processing options available for building data analytics solutions in Azure
  • explore Azure Synapse Analytics, Azure Databricks, and Azure HDInsight
  • learn what Power BI is, including its building blocks and how they work together.

Skills Covered

After completing this module, students will be able to:

  •  Describe core data concepts in Azure
  •  Explain concepts of relational data in Azure
  •  Explain concepts of non-relational data in Azure
  •  Identify components of a modern data warehouse in Azure

Prerequisites

Prerequisite certification is not required before taking this course. Successful Azure Data Fundamentals students start with some basic awareness of computing and Internet concepts, and an interest in extracting insights from data.

Specifically:

  •  Experience using a web browser, such as Microsoft Edge.
  •  Familiarity with basic data-related concepts, such as working with tables of data in a spreadsheet and visualizing data using charts.
  •  A willingness to learn through hands-on exploration.

This course serves as a prerequisite for the associate-level tracks below:

 

Target Audience

The audience for this course is individuals who want to learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build their foundational knowledge of cloud data services within Microsoft Azure.

Course Curriculum

Module 1: Explore Core Data Concepts

  • Data powers the digital transformation that is sweeping across organizations and society in general. But what is “data”, and how is it represented and used?

Learning objectives

  • In this module you will learn how to:
    • Identify common data formats
    • Describe options for storing data in files
    • Describe options for storing data in databases
    • Describe characteristics of transactional data processing solutions
    • Describe characteristics of analytical data processing solutions

Prerequisites

  • None

Module 2: Explore Data Roles and Services

  • Data professionals perform distinct roles in building and managing software solutions, and work with multiple technologies and services to do so.

Learning objectives

  • In this module you will learn how to:
    • Identify common data professional roles
    • Identify common cloud services used by data professionals

Prerequisites

  • None

Module 3: Explore Fundamental Relational Data Concepts

  • Relational database systems are a common way to store and manage transactional and analytical data in organizations of any size around the world.

Learning objectives

  • In this module you will learn how to:
    • Identify characteristics of relational data
    • Define normalization
    • Identify types of SQL statement
    • Identify common relational database objects

Prerequisites

  • None

Module 4: Explore Relational Database Services in Azure

  • Microsoft Azure provides multiple services for relational databases. You can choose the relational database management system that’s best for your needs, and host relational data in the cloud.

Learning objectives

  • In this module, you’ll learn how to:
    • Identify options for Azure SQL services
    • Identify options for open-source databases in Azure
    • Provision a database service on Azure

Prerequisites

  • Before starting this module, you should have a fundamental understanding of relational data concepts and some familiarity with Microsoft Azure and the Azure portal.

Module 5: Explore Azure Storage for Non-Relational Data

  • Azure Storage is a core service in Microsoft Azure that is commonly used to store non-relational data.

Learning objectives

  • In this module, you’ll learn how to:
    • Describe features and capabilities of Azure blob storage
    • Describe features and capabilities of Azure Data Lake Gen2
    • Describe features and capabilities of Azure file storage
    • Describe features and capabilities of Azure table storage
    • Provision and use an Azure Storage account

Prerequisites

  • Before starting this module, you should have some familiarity with Microsoft Azure concepts and the Azure portal.

Module 6: Explore Fundamentals of Azure Cosmos DB

  • Azure Cosmos DB provides a highly scalable store for non-relational data.

Learning objectives

  • In this module, you’ll learn how to:
    • Describe key features and capabilities of Azure Cosmos DB
    • Identify the APIs supported in Azure Cosmos DB
    • Provision and use an Azure Cosmos DB instance

Prerequisites

  • Before starting this module you should have some familiarity with Microsoft Azure concepts and the Azure portal.

Module 7: Explore Fundamentals of Large-Scale Data Warehousing

  • Organizations use modern data warehousing to build large scale data analytics solutions that generate insights and drive success. Microsoft Azure includes multiple technologies that you can combine to build a modern data warehousing solution.

Learning objectives

  • In this module, you will learn how to:
    • Identify common elements of a modern data warehousing solution
    • Describe key features for data ingestion pipelines
    • Identify common types of analytical data store and related Azure services
    • Provision Azure Synapse Analytics and use it to ingest, process, and query data

Prerequisites

  • Before starting this module, you should have a conceptual understanding of data and databases, and be familiar with Microsoft Azure services for data workloads such as Azure Storage, Azure SQL Database, and Azure Cosmos DB.

Module 8: Explore Fundamentals of Real-Time Analytics

  • Learn about the basics of stream processing, and the services in Microsoft Azure that you can use to implement real-time analytics solutions.

Learning objectives

  • In this module, you’ll learn how to:
    • Compare batch and stream processing
    • Describe common elements of streaming data solutions
    • Describe features and capabilities of Azure Stream Analytics
    • Describe features and capabilities of Spark Structured Streaming on Azure
    • Describe features and capabilities of Azure Synapse Data Explorer

Prerequisites

  • Before starting this module, you should have some conceptual understanding of modern data warehousing and analytics, and you should be familiar with Azure services for data workloads, including Azure Storage, Azure SQL Database, and Azure Synapse Analytics.

Module 9: Explore Fundamentals of Data Visualization

  • Learn the fundamental principles of analytical data modeling and data visualization, using Microsoft Power BI as a platform to explore these principles in action.

Learning objectives

  • After completing this module, you will be able to:
    • Describe a high-level process for creating reporting solutions with Microsoft Power BI
    • Describe core principles of analytical data modeling
    • Identify common types of data visualization and their uses
    • Create an interactive report with Power BI Desktop

Prerequisites

  • None

Dates & Locations

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December 18, 2026 - December 18, 2026

Location: Kuala Lumpur
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Exam:
RM 225
RM 1200

December 18, 2026 - December 18, 2026

Location: Online
Modal: VILT
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RM 225
RM 1200

January 21, 2027 - January 21, 2027

Location: Kuala Lumpur
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RM 225
RM 1200

January 21, 2027 - January 21, 2027

Location: Online
Modal: VILT
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RM 225
RM 1200

March 2, 2027 - March 2, 2027

Location: Kuala Lumpur
Modal: ILT
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Exam:
RM 225
RM 1200

March 2, 2027 - March 2, 2027

Location: Online
Modal: VILT
Availability: TBC
Exam:
RM 225
RM 1200

May 7, 2027 - May 7, 2027

Location: Kuala Lumpur
Modal: ILT
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Exam:
RM 225
RM 1200

May 7, 2027 - May 7, 2027

Location: Online
Modal: VILT
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RM 225
RM 1200

July 26, 2027 - July 26, 2027

Location: Kuala Lumpur
Modal: ILT
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RM 225
RM 1200

July 26, 2027 - July 26, 2027

Location: Online
Modal: VILT
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RM 225
RM 1200

September 17, 2027 - September 17, 2027

Location: Kuala Lumpur
Modal: ILT
Availability: TBC
Exam:
RM 225
RM 1200

September 17, 2027 - September 17, 2027

Location: Online
Modal: VILT
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Exam:
RM 225
RM 1200

November 15, 2027 - November 15, 2027

Location: Kuala Lumpur
Modal: ILT
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Exam:
RM 225
RM 1200

November 15, 2027 - November 15, 2027

Location: Online
Modal: VILT
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Exam:
RM 225
RM 1200
Trainocate exam and cert

Exam & Certification

Microsoft Certified: Azure Data Fundamentals.

This certification is an opportunity to demonstrate your knowledge of core data concepts and related Microsoft Azure data services. As a candidate for this certification, you should have familiarity with Exam DP-900’s self-paced or instructor-led learning material.

This certification 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.

Training & Certification Guide

You will have 45 minutes to complete this assessment.

Exam policy

This exam will be proctored. You may have interactive components to complete as part of this exam. To learn more about exam duration and experience, visit: Exam duration and exam experience.

If you fail a certification exam, don’t worry. You can retake it 24 hours after the first attempt. For subsequent retakes, the amount of time varies. For full details, visit: Exam retake policy.

Assessed on this exam
  • Describe core data concepts
  • Identify considerations for relational data on Azure
  • Describe considerations for working with non-relational data on Azure
  • Describe an analytics workload on Azure

Prove that you can describe the following: core data concepts; how to work with relational data on Azure; how to work with non-relational data on Azure; and an analytics workload on Azure.

Skills measured:

  • Describe core data concepts (15-20%)
  • Describe how to work with relational data on Azure (25-30%)
  • Describe how to work with non-relational data on Azure (25-30%)
  • Describe an analytics workload on Azure (25-30%)

When you earn an Azure certification or learn a new skill, it’s an accomplishment worth celebrating with your network. It often takes less than a minute to update your LinkedIn profile and share your achievements, highlight your skills, and help boost your career potential. Here’s how:

  • If you’ve earned a certification already, follow the instructions in the congratulations email you received. Or find your badge on your Certification Dashboard, and follow the instructions there to share it. (You’ll be transferred to the Acclaim website.)
  • To add specific skills, visit your LinkedIn profile and update the Skills and endorsements section. Tip: We recommend that you choose skills listed in the skills outline guide for your certification.

Your Microsoft Certification can help validate that you have the skills to stay ahead with today’s technology. It can also help empower you with a boost in confidence and job satisfaction—and maybe even a salary increase.

Use your Azure Data Fundamentals certification as a starting point to explore more training on Azure, SQL Server and other technologies and to chart your path forward. If you’re looking to advance your career or to jump-start a new one, the message is the same: establish your foundations. Earn your certification, and open up new possibilities for your career and for turning your ideas into solutions on Azure.

AI Mastery Program: Learn AI with Microsoft in 2024

Artificial Intelligence (AI) has been one of the hottest topics in the tech industry for the past decade. With its rapid advancements and potential to impact our daily lives, learning AI has become a highly sought-after skill.

We are thrilled to announce the launch of our Microsoft AI Mastery Program in 2024, made possible through our partnership with Microsoft, a renowned leader in AI technology. This program is tailored for individuals and tech professionals passionate about acquiring and mastering the fundamental and advanced principles of AI.

Can You Learn AI Without a Technical Background? 

One of the most common myths about artificial intelligence (AI) is that it’s reserved for software developers, data scientists, or AI engineers. Building AI systems does require technical expertise, but using AI at work is an entirely different skill set, and one far more people can pick up than they realize.

AI Is Already at Work. The Skills Gap Is the Bigger Challenge

Twenty years ago, being “digitally literate” meant knowing your way around email, spreadsheets, and presentation software. Those skills went from nice to have to non-negotiable in almost every job.

Today, the same shift is happening again, this time around artificial intelligence (AI).

The Complete Guide to Microsoft AI Business Certifications in 2026

The transition from “AI experimentation” to “AI operationalization” has officially arrived. As we move deeper into 2026, the global business landscape is no longer just talking about chatbots; it is being rebuilt on a foundation of Agentic AI. Autonomous systems capable of reasoning, planning, and executing complex enterprise workflows.

Frequently Asked Questions

Earning a Microsoft Certification is globally recognized and industry-endorsed evidence of mastering real world skills. It shows you demonstrate proficiency in keeping pace with technology. It’s a career move that yields many positive results.

Getting a Microsoft Certification is also a great way to break into the tech industry. A Microsoft Certification immediately confers a level of authority and expertise, especially helpful for someone new to the industry.

The number of questions on a certification exam is subject to change as Microsoft make updates to ensure it aligns with current changes in the technology and job role. Most Microsoft Certification exams typically contain between 40-60 questions; and around 60-140 minutes.

Starting June 30 2021, all newly earned role-based and specialty certifications will be valid for one year from the date the certification was earned.

To stay up to date, IT pros are constantly learning and adding skills. The IDC study concluded that Microsoft Learning Partners such as Trainocate Malaysia which was awarded 2021 Microsoft Learning Partner of the Year are well positioned to help organizations achieve their business and learning goals. The IT leaders who were surveyed found the most value from a Learning Partner that provides:

  • An end-to-end solution which starts with identifying skill gaps, simplifies the learning experience, and finishes by evaluating how well the Learning Partner met the organization goals.
  • Scale, flexibility, and speed to train teams of any size, in any location, amid changing circumstances.
  • Value-added services, such as hands-on labs, classroom training, and custom content that help the skills development program succeed.
  • High-quality content and delivery, meaning accurate, relevant courseware, top-notch instructors, and a path to certification, if needed.

DP-080T00: Querying Data with Microsoft Transact-SQL Get started with Transact SQL

Learn the basics of Microsoft’s standard SQL language and master skills required as a data analyst, a data engineer, a data scientist, a database administrator or a database developer to query and modify data in relational databases that are hosted in Microsoft SQL Server-based database systems.

DP-420T00: Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB

Unlock opportunities with Azure Cosmos DB.

This course teaches developers how to create application using the SQL API and SDK for Azure Cosmos DB. Students will learn how to write efficient queries, create indexing policies, manage and provisioned resources, and perform common operations with the SDK.

PL-300T00: Microsoft Power BI Data Analyst Certification

This PL-300T00: Microsoft Power BI Data Analyst course will discuss the various methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI. The course will also show how to access and process data from a range of data sources including both relational and non-relational data. This Power BI course will also explore how to implement proper security standards and policies across the Power BI spectrum including datasets and groups.

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