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DP-900 Azure Data Fundamentals Training

Course Information

  • Sessions 2 days
  • Duration 15 hrs
  • Level Beginner
  • Assessment NA

Venue

Kuala Lumpur: G-3A-02, Suite Pejabat Korporat, KL Gateway, No 2, Jalan kerinchi, Gerbang kernichi Lestari, 59200 Kuala Lumpur, Malaysia
Penang: Jalan Sungai Dua, 11700 Penang, Malaysia.

Course Brochure

Download Course Brochure

Certification

By end of the course, learners should be able to:

  • LO1: Identify appropriate learning modes and instructional methods based on learner profiles and learning needs.
  • LO2: Prepare a conducive learning environment using facilitation techniques and communication strategies.
  • LO3: Manage group dynamics and provide targeted feedback using instructional methods and technology tools to enhance learner outcomes.
  • LO4: Adjust lesson plans using classroom observations and feedback techniques to address evolving learner needs and improve lesson effectiveness.

DP-900 Azure Data Fundamentals Training

Course Code: C1415
  • HRDF

9 Review(s) | Add Your Review

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What's This Course About

Master the essentials of Azure data services with our DP-900 Azure Data Fundamentals Exam Prep Course. This course equips learners with the fundamental knowledge required to identify and describe core data concepts and how they are implemented using Microsoft Azure data services.

Our course provides comprehensive insights into the database concepts and the tools available on Azure. Whether you're a beginner or looking to boost your Azure skills, this course offers a step-by-step guide to understanding and utilizing Azure's data solutions. Leverage this knowledge to ace the DP-900 exam and expand your career prospects in the data domain.

Bonus: Free Practice Exams

Get exam-ready on our Practice Exam Portal — train in realistic Practice Mode and timed Exam Mode, then retake them as many times as you like before the real exam.

Start Practising →

WSQ Funding

Full Fee 2,800.00 Before GST
GST 252.00 9% of fee
Baseline Nett 1,652.00 SG/PR age 21+ · 50% funded
MCES / SME Nett 1,092.00 SG age 40+ · 70% funded
Funding and Grant Applications

No funding is available for this course.

For WSQ funding, please checkout the details at WSQ - Microsoft Azure Data Fundamentals (DP-900)

Course Fee

MYR2,800.00

Course Date

Course Time

Additional Note

Please bring your own laptop for hands-on training. If you don't have laptop, we can provide spare laptop for training use.

Disclaimer: The course dates displayed on our website are tentative and subject to trainer availability. We will confirm the final date after checking with the trainer. You are also welcome to email us your preferred date at sales@tertiarycourses.com.my, and we will do our best to coordinate with the trainer's schedule.

Post-Course Support

  • We may provide consultation related to the subject matter after the course.
  • Please email your queries to sales@tertiarycourses.com.my and we will forward your queries to the subject matter experts and get back to you as soon as possible.

Cancellation & Reschedule Policy

  • We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% to participants.
  • Note: the venue of the training is subject to changes due to class size and availability of the classroom. The minimum class size to start a class is 3 Pax.

Course Details

Course Details

What You'll Learn

This course prepares you for the DP-900 certification exam, covering all official exam domains and their approximate weightings:

Domain 1 Describe core data concepts (27.5%)

  • Describe ways to represent data: structured, semi-structured, and unstructured data
  • Identify options for data storage: common file formats, common data stores/databases, Azure datastores for common use cases
  • Describe common data workloads: transactional vs analytical workloads
  • Identify roles and responsibilities for data workloads: database administrator, data engineer, data analyst

Domain 2 Identify considerations for relational data on Azure (22.5%)

  • Describe relational concepts: features of relational data, normalization, common SQL statements, common database objects
  • Describe the Azure SQL family of products: Azure SQL Database, Azure SQL Managed Instance, SQL Server on Azure Virtual Machines
  • Identify Azure database services for open-source database systems

Domain 3 Describe considerations for working with non-relational data on Azure (17.5%)

  • Describe the capabilities of Azure storage: Azure Blob storage, Azure Files, Azure Table storage
  • Describe the capabilities and features of Azure Cosmos DB
  • Identify use cases for Azure Cosmos DB
  • Describe Azure Cosmos DB APIs

Domain 4 Describe an analytics workload on Azure (27.5%)

  • Describe common elements of large-scale analytics: data ingestion/processing, analytical data stores, Azure Databricks and Microsoft Fabric
  • Describe considerations for real-time data analytics: batch vs streaming data, Microsoft cloud services for real-time analytics
  • Describe data visualization in Microsoft Power BI: capabilities of Power BI, data models, appropriate visualizations for data

Course Info

Promotion Code

Your will get 10% discount voucher for 2nd course onwards if you write us a Google review.

Minimum Entry Requirement

Knowledge and Skills

  • Able to operate using computer functions
  • Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)

Attitude

  • Positive Learning Attitude
  • Enthusiastic Learner

Experience

  • Minimum of 1 year of working experience.

Target Age Group: 18-65 years old

Minimum Software/Hardware Requirement

Software:

TBD

Hardware: Window or Mac Laptops

Job Roles

Job Roles

  • Data Engineer on Azure
  • Azure Database Administrator
  • Data Scientist (using Azure tools)
  • Business Intelligence Developer on Azure
  • Azure Data Solutions Architect
  • Data Analytics Specialist on Azure
  • Database Developer (migrating to Azure)
  • Big Data Specialist on Azure
  • Machine Learning Engineer (utilizing Azure data services)
  • Data Warehouse Architect on Azure
  • IT Professionals (seeking data specialization on Azure)
  • Cloud Data Consultant
  • ETL Developer on Azure
  • Azure Data Lake Specialist
  • Data Migration Specialist on Azure.

Trainers

Trainers

Saeid is co-founder of Skymics Sdn Bhd. He has 8 years of experience in the field of IoT (Internet of Things) and Information Technology. He is a certified IBM IoT Practitioner and instructor, and a Certified Citizen Data Scientist Train-The-Trainer. He has been co-inventor of 3 inventions during the last 4 years.

Review

Customer Reviews (9)

Hands-on and practical Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
The trainer is an expert in the subject and shared many practical insights from real projects. (Posted on 23/06/2026)
Very informative Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Well organised course with clear objectives. The step-by-step approach made it easy to follow. (Posted on 24/04/2026)
Well structured course Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Good hands-on training with plenty of examples. I feel much more confident applying these skills now. (Posted on 08/04/2026)
Knowledgeable trainer Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
A very practical course. The trainer made a complex topic simple and enjoyable to learn. (Posted on 17/07/2025)
Fantastic experience Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
The trainer is an expert in the subject and shared many practical insights from real projects. (Posted on 11/05/2025)

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