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DP-203 Microsoft Azure Data Engineer Associate Training

Course Information

  • Sessions 4 days
  • Duration 30 hrs
  • Level Intermediate
  • Assessment NA

Venue

12 Woodlands Square #07-85/86/87 Woods Square Tower 1, Singapore 737715. 5 mins walk from Woodlands (NS9) MRT station.

The venue is disabled-friendly.

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Certification

  • Certificate of Completion from Tertiary Courses - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Completion from Tertiary Courses.

DP-203 Microsoft Azure Data Engineer Associate Training

Course Code: C1000

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What's This Course About

Our DP-203 Microsoft Certified: Azure Data Engineer Associate Exam Prep course is meticulously designed to provide you with the knowledge and skills required to excel in the Azure data engineering domain. By enrolling in this course, you will gain in-depth insights into data engineering concepts, tools, and best practices, empowering you to implement effective data solutions on Azure.

With a focus on real-world applications, this course will guide you through the essential aspects of Azure data engineering, including data storage, data processing, and data security. You will learn how to leverage Azure tools and services to build scalable and secure data engineering solutions, enhancing your ability to deliver value to your organization. Enroll today and take the first step towards becoming a Microsoft Certified Azure Data Engineer!

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 →

Funding Options

No funding is available for this course

For WSQ funding, please checkout the details at WSQ - Microsoft Azure Data Engineer Associate (DP-203)

Course Fee

$1,200.00 (GST-exclusive)
$1,308.00 (GST-inclusive)

Course Date

Course Time

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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.

Post-Course Support

  • We provide free consultation related to the subject matter after the course.
  • Please email your queries to enquiry@tertiaryinfotech.com and we will forward your queries to the subject matter experts.

Cancellation & Reschedule Policy

  • You can register your interest without upfront payment. There is no penalty for withdrawal of the course before the class commences.
  • We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% for any paid amount.
  • Note the venue of the training is subject to changes due to availability of the classroom.

Course Details

Course Details

What You'll Learn

This course prepares you for the DP-700 certification exam, covering all official exam domains and their approximate weightings:

Domain 1 Implement and manage an analytics solution (32.5%)

  • Configure Microsoft Fabric workspace settings (Spark, domain, OneLake, Apache Airflow)
  • Implement lifecycle management: version control, database projects, deployment pipelines
  • Configure security and governance: workspace/item-level access controls, row/column/object/file-level security, dynamic data masking, sensitivity labels, item endorsement, audit logs, OneLake security
  • Orchestrate processes: choose between Dataflow Gen2, pipeline, and notebook; design schedules and event-based triggers; implement orchestration patterns with parameters and dynamic expressions

Domain 2 Ingest and transform data (32.5%)

  • Design and implement full and incremental data loading patterns, including for dimensional models and streaming data
  • Ingest and transform batch data: choose appropriate data store and transformation tool (Dataflows Gen2, notebooks, KQL, T-SQL), create OneLake shortcuts, implement mirroring, ingest via pipelines
  • Transform data using PySpark, SQL, and KQL; denormalize, group/aggregate data; handle duplicate, missing, and late-arriving data
  • Ingest and transform streaming data: choose streaming engine, process data via Eventstreams, Spark structured streaming, and KQL; create windowing functions

Domain 3 Monitor and optimize an analytics solution (32.5%)

  • Monitor Fabric items: data ingestion, data transformation, semantic model refresh, and configure alerts
  • Identify and resolve errors in pipelines, Dataflow Gen2, notebooks, Eventhouse, Eventstream, T-SQL, and OneLake shortcuts
  • Optimize performance of Lakehouse tables, pipelines, data warehouses, Eventstreams/Eventhouses, Spark jobs, and queries

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:

Hardware: Window or Mac Laptops

Job Roles

Job Roles

  • Data Engineer
  • Azure Data Engineer
  • Cloud Data Engineer
  • Business Intelligence Developer
  • Data Architect
  • Data Scientist
  • Machine Learning Engineer
  • Big Data Engineer
  • Data Analyst
  • Database Administrator
  • Cloud Solutions Architect
  • DevOps Engineer
  • Software Developer
  • IT Professional
  • Systems Analyst

Trainers

Trainers

Dr Alvin Ang is a ACTA certified trainer. Dr. Alvin Ang did his Ph.D., Masters and Bachelors from NTU, Singapore. Previously he was a Principal Consultant (Data Science) as well as an Assistant Professor. He was also 8 years SUSS adjunct lecturer. His focus and interest is in the area of real world data science. Though an operational researcher by study, his passion for practical applications outweigh his academic background. He owns a startup externally.

Dwight Nuwan Fonseka is Head of Data Science at Plano Pte. Ltd. and an ACLP-certified trainer with deep expertise in data analytics, machine learning, and AI applications. He has extensive hands-on experience developing predictive models, RShiny dashboards, and deep learning solutions using R, Python, TensorFlow, and Keras. With a strong professional background in healthcare, finance, and customer analytics, Dwight brings an applied perspective to teaching AI, focusing on both the opportunities and risks of emerging technologies.

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