Technologies

Azure Data Engineer Associate (DP-700)

This training prepares participants for the Microsoft Certified Azure Data Engineer Associate certification exam DP-700, which validates the skills needed to design and implement data engineering solutions on Microsoft Fabric. The course covers the full scope of the DP-700 exam objectives — including Lakehouse architecture, data pipeline development, semantic model creation, and real-time analytics — through a combination of conceptual instruction and extensive hands-on lab exercises. Participants will leave fully prepared to sit the DP-700 exam and to apply Microsoft Fabric data engineering skills in production environments.

Why choose this training?

The DP-700 certification validates expertise in designing and implementing data engineering solutions on Microsoft Fabric — one of the fastest-growing data platforms in the Microsoft ecosystem. This training is built specifically to the DP-700 exam objectives, ensuring that every topic covered is directly relevant to both the certification and to real-world Fabric data engineering work.

The 4-day format provides the depth needed to move beyond surface-level familiarity into the kind of practical, hands-on proficiency that the exam — and production data engineering — demands.

What makes our approach unique?

EITT is an authorized Microsoft training provider with over 500 experts and a track record of more than 2,500 trainings delivered in Microsoft cloud and data technologies. Our DP-700 instructors hold current Microsoft certifications and actively work with Fabric in production environments, which means the training reflects the real exam experience and the real implementation challenges — not just what the official documentation says.

Benefits

Master all topic areas covered in the DP-700 Azure Data Engineer Associate exam
Design and implement Fabric Lakehouse solutions using the Medallion architecture
Build robust data pipelines using Fabric Data Factory and Dataflows Gen2
Develop data transformation logic using Apache Spark and PySpark notebooks
Create and optimize Fabric Data Warehouses for analytical query workloads
Build semantic models and apply DirectLake mode for high-performance Power BI integration
Implement real-time analytics solutions using Eventstream and KQL databases
Apply Fabric security, governance, and monitoring best practices in production environments

Who is this training for?

Data engineers seeking the DP-700 Azure Data Engineer Associate certification

ETL developers transitioning to Microsoft Fabric

BI developers expanding into data engineering on Fabric

Cloud data professionals adding Microsoft Fabric to their skill set

IT architects designing Fabric-based data solutions

Professionals who have completed a Microsoft Fabric introductory training and want certification-level depth

Prerequisites

Solid understanding of data engineering concepts — ETL, data warehousing, data lakes
Basic SQL proficiency (T-SQL or ANSI SQL)
Familiarity with Azure fundamentals or cloud computing concepts
Basic Python knowledge is beneficial for Spark notebook labs
Prior exposure to Power BI or Azure data services is an advantage

Training program

Microsoft Fabric architecture — workloads, workspaces, and capacities
OneLake — unified data storage and Delta Lake fundamentals
Fabric security model — workspace roles, item permissions, and RLS
Monitoring Fabric capacity — metrics, throttling, and optimization
Fabric governance — data catalog, lineage, and endorsement
DP-700 exam domain breakdown and study strategy

Creating and configuring Fabric Lakehouses
Ingesting data into OneLake — files, tables, and shortcuts
Delta table management — CRUD operations, schema evolution, time travel
Medallion architecture — Bronze, Silver, Gold layer design
Querying Lakehouses with Spark SQL and T-SQL endpoints
Optimizing Delta tables — OPTIMIZE, VACUUM, Z-ORDER

Apache Spark in Fabric — pools, runtimes, and session configuration
PySpark data transformation patterns for data engineering
Reading and writing Delta tables with PySpark
Orchestrating notebooks in Data Factory pipelines
Parameterized notebooks and reusable data transformation components
Spark performance tuning — partitioning, caching, and broadcast joins

Building data pipelines in Fabric Data Factory
Copy Activity — supported connectors and configuration
Dataflows Gen2 — Power Query transformations for data engineers
Incremental load patterns — watermark and CDC approaches
Pipeline scheduling, triggers, and dependency management
Error handling, monitoring, and alerting in Data Factory

Fabric Data Warehouse — architecture, T-SQL, and loading patterns
Designing star and snowflake schemas for analytical workloads
Cross-database queries between Warehouse and Lakehouse
Creating and managing semantic models (Power BI datasets) in Fabric
DAX fundamentals for data engineers — measures and calculated columns
DirectLake mode — how it works and when to use it

Real-Time Analytics in Fabric — KQL databases and event streams
Ingesting streaming data with Eventstream
KQL (Kusto Query Language) for data engineers
Building real-time dashboards connected to KQL databases
DP-700 exam topic review — key concepts, common pitfalls
Practice questions, exam tips, and final Q&A session

Delivery Methods

Online

Convenience of participating from anywhere
Interactive live sessions with trainer
Materials available for 30 days
No travel costs

On-site

Direct contact with trainer and group
Intensive hands-on workshops
Networking with other participants
Full focus on learning

Training Topics

Frequently asked questions

Does this training guarantee I will pass the DP-700 exam?

This training covers all DP-700 exam domains in depth and includes exam-focused review sessions and practice questions. While we cannot guarantee exam results, participants who complete the course and engage with the lab exercises will have a strong preparation foundation. EITT's Microsoft certification courses consistently produce high first-attempt pass rates.

How does this DP-700 training differ from the Microsoft Fabric Analytics Platform course (IT-DA-342)?

The Microsoft Fabric Analytics Platform course (IT-DA-342) provides a broad platform introduction across all Fabric experiences in 3 days. The DP-700 course is a 4-day certification-focused training that goes deeper into data engineering specifics — Lakehouse optimization, PySpark patterns, pipeline design, and semantic model development — aligned precisely with the DP-700 exam objectives.

How is the 4-day training structured?

Day 1 covers Fabric core concepts and Lakehouse fundamentals. Day 2 focuses on Spark notebooks and Data Factory pipelines. Day 3 covers Data Warehouse, semantic models, and DirectLake. Day 4 addresses real-time analytics and includes a full DP-700 exam topic review with practice questions. Both online and onsite formats are available.

Is the DP-700 exam voucher included in the training price?

The exam voucher is not included in the standard training price but can be added as an option. Please contact EITT to enquire about exam voucher packages, which are available at a discounted rate when combined with the training registration.

Why choose EITT for this training?

EITT is a training provider with over 500 experts and experience from over 2,500 trainings delivered in Microsoft cloud, data, and analytics technologies. As a Microsoft authorized training provider, EITT's instructors hold active Microsoft certifications and bring real-world Fabric implementation experience to the classroom. EITT holds a 4.8/5 average participant rating.