Microsoft AuthorizedAssociate2026 UpdatedFabric-Ready Skills
DP-203: Azure Data Engineer Associate
The data-platform engineering credential. Design and implement data storage, processing pipelines and security across Azure Data Lake, Synapse, Databricks and Microsoft Fabric.
⏱Duration: 5 days / 40 hrs
💻Format: Instructor-Led + Azure Sandbox
🌐Delivery: On-site · Virtual · Hybrid
✅Pass rate: 94%
📅Next intake: 25 August 2026
💾
Lakehouse design
Bronze, silver, gold and Microsoft Fabric OneLake patterns
🔌
Pipeline mastery
Synapse, Data Factory and Spark notebook orchestration
🔐
Data security
Encryption, masking, RLS, Purview governance
⚡
Streaming & batch
Event Hub, Stream Analytics and Spark structured streaming
What this course is
DP-203 is data engineering at scale.
DP-203 (Azure Data Engineer Associate) validates that you can design and implement data storage, ingestion, transformation and serving in Azure. It is the credential most often requested when MY enterprises hire for cloud data engineers.
At Nexperts, DP-203 is delivered against a Synapse + Databricks + Microsoft Fabric stack ingesting real-shaped retail and banking data. You build pipelines, optimise queries and govern data via Purview — the actual day-to-day of the role.
The data engineer role is changing fast. Microsoft Fabric and OneLake are the future. We teach DP-203 with that future already in mind.
The 2026 update strengthens Microsoft Fabric coverage, lakehouse patterns and Copilot for data engineering. We teach all three with current MY banking, retail and healthcare data engineering use cases.
Who should take this course
📊
BI analysts going engineer
PL-300 holders moving from consuming to producing data.
💻
ETL developers
SQL Server / Informatica engineers modernising into Azure cloud.
☁️
Cloud engineers
AZ-104 / SAA holders specialising into the data platform track.
📚
Pre-Fabric data architects
DP-203 is the operational base before Microsoft Fabric architecture.
🏛️
Banking data teams
BNM data residency and analytics modernisation programs in MY banks.
🔍
DevOps practitioners
Pipeline-as-code thinking applied to data platforms.
Prerequisites
✓ AZ-900 or DP-900 fundamentals
✓ Strong SQL fluency
✓ Familiarity with Python or Scala (helpful)
✓ Comfort with notebook environments
→ Don't have DP-900? Ask us about our 7-day combined DP-900 → DP-203 track.
Course Curriculum
Four domains. From storage to serving.
DP-203 covers Design and Implement Data Storage, Develop Data Processing, Secure Data Solutions, and Monitor and Optimize Data Storage. We deliver as a continuous data platform build cycle.
Hands-On Data Platform
40 platform tasks. Synapse + Databricks + Fabric.
The Nexperts DP-203 environment is a Synapse workspace, a Databricks workspace and a Microsoft Fabric capacity, pre-loaded with retail POS and banking transaction datasets.
01
Lakehouse Build
Design and provision a 3-zone lakehouse from scratch.
Architecture
02
Pipeline Build
Build an ingestion pipeline from REST + DB sources to lakehouse.
Pipeline
03
Spark Transformation
Transform 10M rows of POS data via Spark notebooks.
Spark
04
Streaming Fraud
Build a streaming fraud-detection pipeline using Event Hubs + Stream Analytics.
Streaming
05
Synapse Tuning
Take a slow Synapse query. Improve runtime by ≥60% using partitioning.
Tuning
06
Purview Lineage
Implement lineage from source to gold zone with Purview.
Governance
07
Dynamic Data Masking
Apply DDM to PII columns. Test masked vs full views.
Security
08
Fabric Lakehouse
Migrate the lakehouse to Microsoft Fabric. Test Direct Lake to Power BI.
Fabric
09
Copilot Pipeline
Use Copilot to scaffold a 5-step pipeline conversationally.
Copilot
+ 31 additional data platform tasks. Workspace access for 60 days post-course.
Exam Information
One exam. Architecture-leaning.
DP-203 is heavy on architecture decisions — lakehouse vs warehouse, dedicated vs serverless, partitioning strategies, security patterns. The exam includes a small labs section with notebook tasks.
DP-203 Exam
Questions40–60 incl. case studies + lab
Duration100 minutes
Passing score700 / 1000
FormatPearson VUE / Online proctor
Validity1 year (free renewal)
Industry avg pass rate~62% first attempt
Nexperts pass rate94% first attempt
Data Career Trajectory
Stacks withDP-900 → DP-203 → Fabric DP-600
MY salary upliftAverage +RM 2,200/mo post-cert
RenewalFree yearly Microsoft Learn assessment
VoucherBundled — Microsoft voucher included
Career fitCloud data engineer, lakehouse engineer, BI engineer
Pre-bridgePathway to Microsoft Fabric DP-600
Most-hiredTop-3 data role in MY enterprises 2026
Our DP-203 3-Mock Programme
01
Diagnostic Mock
Day 2. Maps weak architecture areas. Average score: 56%.
02
Architecture-Heavy Mock
Day 4. Pattern-recognition focus. Average score: 74%.
03
Final Clearance
Day 5. Full timed simulation. 84%+ before booking. Average score: 87%.
0%
Pass Rate
94% of our DP-203 engineers pass on first attempt.
The global DP-203 first-attempt rate hovers around 62%. Our 94% comes from a Synapse + Databricks + Fabric environment, daily architecture stand-ups and an instructor who has built the data platform for two MY banks.
Expected salary range after DP-203: RM 8,500 – RM 14,500/month for cloud data engineer roles in Malaysian enterprises.
Student Reviews
What our DP-203 graduates say.
4.9
★★★★★
138 reviews
5★
91%
4★
7%
3★
2%
★★★★★
"Three platforms in one course — Synapse, Databricks and Fabric — was the differentiator. Other prep is single-platform. Nexperts gave me real choice between them."
KS
Karthik Subramaniam
Senior Data Engineer · RHB Bank
✓ Passed first attempt · 871 / 700
★★★★★
"Architecture stand-ups changed how I think about data platforms. Six weeks later, I redesigned my company's lakehouse — cleaner zones, better governance, much faster."
SE
Suzaiha Eleza
Data Engineer · Air Asia
✓ Passed first attempt · 832 / 700
★★★★★
"Streaming fraud-detection module was incredible. Three months later we deployed a near-identical pipeline at our bank. Catches fraud in 4 seconds."
TT
Thean Theng Ong
Lead Data Engineer · Hong Leong Bank
✓ Passed first attempt · 821 / 700
★★★★★
"Microsoft Fabric module was forward-looking. We're rolling Fabric out at our hospital network and the course made me the go-to expert."
SR
Sukanya Ramachandran
Data Architect · KPJ Healthcare
✓ Passed first attempt · 851 / 700
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