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DP-900: Azure Data Fundamentals
5/5

Level

Advanced

Duration

8 weeks

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What is DP-900: Azure Data Fundamentals?

DP-900: Azure Data Fundamentals is an entry-level course designed to build a strong foundation in data concepts and Microsoft Azure data services. Delivered through Jast Tech, this course helps learners understand how data is stored, processed, and analyzed in the Azure ecosystem without requiring prior technical experience. The curriculum covers core data concepts such as structured, semi-structured, and unstructured data, along with transactional and analytical workloads. Learners gain practical knowledge of Azure SQL Database, Azure SQL Managed Instance, Azure Cosmos DB, Azure Data Factory, Azure Synapse Analytics, and Azure Data Lake. The course emphasizes when to use relational versus non-relational data solutions and how analytics workloads differ from operational systems. Real-world scenarios, hands-on labs, and exam-focused explanations ensure learners can confidently identify appropriate Azure data services for business needs. By the end of the course, participants will be well prepared for the DP-900 certification exam and equipped with essential data fundamentals required for further Azure data, analytics, or AI learning paths.

Job Roles You Can Achieve

After completing this course

  • Solutions Architect
  • Technical Consultant
  • Implementation Specialist
  • System Administrator
  • IT Professional

DP-900: Azure Data Fundamentals Curriculum

1
Module 01

Introduction to Core Data Concepts

This module establishes foundational data terminology and explains how different data types are used in modern applications and analytics systems.

Types of data: structured, semi-structured, unstructured
Tables, rows, columns, and indexes
Transactional vs analytical workloads
2
Module 02

Introduction to Relational Data

Learners explore relational data principles and how structured data is organized and queried using SQL.

Relational database concepts
Schema, keys, and constraints
SQL basics
3
Module 03

Azure Relational Data Services

This module explains Azure’s relational offerings and helps learners choose the right service for different business scenarios.

Azure SQL Database
Azure SQL Managed Instance
SQL Server on Azure Virtual Machines
4
Module 04

Querying Relational Data in Azure

Focuses on understanding how relational data is queried and manipulated in Azure environments.

SELECT, INSERT, UPDATE, DELETE
Filtering and sorting data
Basic aggregations
5
Module 05

Introduction to Non-Relational Data

Learners understand when non-relational databases are more suitable than traditional relational systems.

Key-value, document, and column-family data
Differences from relational data
Use cases

Related Courses

Training Roadmap

Seven intentional milestones — from first session to dream job.

Onboarding

01
  • Meet your industry mentor
  • Define your goals
  • Skill gap assessment

Core Learning

02
  • Live interactive classes
  • AI-curated content
  • Recorded sessions

Hands-on Practice

03
  • Weekly assignments
  • MCQ evaluations
  • Module quizzes

Real Projects

04
  • 3 live industry projects
  • Portfolio building
  • Case studies

Mentorship

05
  • 1:1 doubt sessions
  • Peer collaboration
  • Expert feedback

Certification

06
  • Exam preparation
  • Practice dumps
  • Industry-recognised certificate

Career Launch

07
  • Resume crafting
  • Mock interviews
  • Job placement support

Key Projects

Hands-on experience with real-world scenarios designed for mastery.

Azure Relational Data Exploration System

This project involves designing a basic relational database using Azure SQL Database to store customer and order information for a small retail business. Learners create tables, define relationships, and execute simple SQL queries to retrieve and analyze transactional data, demonstrating core relational data concepts used in real-world applications.

NoSQL Product Catalog Using Azure Cosmos DB

In this project, learners design a scalable product catalog using Azure Cosmos DB with a document-based data model. The project focuses on storing semi-structured product data, understanding partitioning, and identifying scenarios where non-relational databases provide flexibility and performance advantages.

Simple Analytics Pipeline with Azure Synapse

This project demonstrates an analytics workload by ingesting sample sales data into Azure Data Lake and analyzing it using Azure Synapse Analytics. Learners understand how analytical queries differ from transactional queries and how data supports reporting and business insights.

Available Course Schedules

Select a schedule that works best for you

Weekend

Starts

23 May 2026

Time

09:30 AM – 12:30 PM

Duration

8 weeks

Weekdays

Starts

25 May 2026

Time

07:00 AM – 09:00 AM

Duration

8 weeks

Weekend

Starts

30 May 2026

Time

02:00 PM – 05:00 PM

Duration

8 weeks

Weekdays

Starts

01 Jun 2026

Time

08:00 PM – 10:00 PM

Duration

8 weeks

Need a custom schedule?

Our team will craft the perfect batch for you.

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What We Offer Beyond Courses

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Professional profile building

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Expert resume crafting

Alumni Guidance

Mentorship from graduates

Interview Prep

Mock interviews & tips

Live Projects

Real-world experience

Review from Tejas Kumar

Tejas Kumar

Review from Sakshi Singh

Sakshi Singh

Review from Sanjay Patel

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Specialized Training Programs

JastTech For Corporates

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Certification Details

DP-900: Azure Data Fundamentals – Associate

  • Exam Name

    DP-900: Azure Data Fundamentals – Associate

  • Exam Code

    SAA-C03

  • Duration

    130 minutes

  • Format

    Multiple Choice & Multi-Response

  • Passing Score

    720 (Scale: 100–1000)

  • Level

    Associate

Certificate of Completion

Prepare

Top Interview Questions

Curated questions with expert answers to help you ace your next interview.

Q1. What is the difference between transactional and analytical workloads?

Transactional workloads handle day-to-day operations with frequent inserts and updates, while analytical workloads focus on read-heavy queries for reporting and insights.

Q2. When should you use Azure SQL Database?

Azure SQL Database is used for structured relational data that requires strong consistency, schema enforcement, and SQL querying.

Q3. What is Azure Cosmos DB?

Azure Cosmos DB is a globally distributed, fully managed NoSQL database designed for high scalability, low latency, and flexible data models.

Q4. What is an analytics workload in Azure?

An analytics workload processes large volumes of historical data to identify trends, patterns, and insights using services like Azure Synapse Analytics.

Q5. What is the purpose of Azure Data Factory?

Azure Data Factory is used to ingest, transform, and orchestrate data from multiple sources into analytics systems.

Support

Frequently Asked FAQs

Can't find what you're looking for? Reach out to our support team anytime.

Q1. Who should take the DP-900 course?

This course is ideal for beginners, students, business users, and aspiring data professionals with little or no prior data experience.

Q2. Do I need programming knowledge for DP-900?

No. Only basic familiarity with data concepts is required; advanced coding skills are not necessary.

Q3. Is DP-900 suitable for non-technical roles?

Yes. The course is designed to explain data concepts and Azure services in a business-friendly manner.

Q4. Does DP-900 include hands-on practice?

Yes. The course includes practical scenarios and labs to reinforce theoretical concepts.

Q5. What certification does this course prepare me for?

It prepares learners for the Microsoft DP-900: Azure Data Fundamentals certification exam.

The support team was very cooperative and responsive. They made sure all doubts were cleared without delay. Great experience overall.

Vedant Shinde
Vedant Shinde

I had a great experience with the RF Circuit Design course. Thanks to the teaching staff for such a well planned and structured curriculum it really helped me clear my technical certification for my job.

Irfan Shah
Irfan Shah

I enrolled in the Post-Silicon Validation Certification Training at JastTech and found it quite different from typical courses. They focus on debugging techniques and real chip-level scenarios, which gave me a better idea of how things work.

Gayatri Sonawane
Gayatri Sonawane

One thing I really liked about the Data Analyst course at JastTech is their focus on consistency. Regular sessions and tasks help you stay on track and build a daily learning habit. Also, they provide recordings after live sessions, which help in revision.

Sanmitra Kamble
Sanmitra Kamble

I joined JastTech for the DFT course a few months back. At first, I wasn’t sure what to expect, but the classes turned out to be really helpful. The teaching is simple and not too complicated, which helped me keep up.

sachin kumar
sachin kumar

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