Microsoft Certified: Fabric Data Engineer Associate

Intermediate Level

Validate your expertise in data engineering on Microsoft Fabric with the Microsoft Certified: Fabric Data Engineer Associate credential.
The Data engineering in Microsoft Fabric enables users to design, build, and maintain infrastructures and systems that enable their organizations to collect, store, process, and analyze large volumes of data.
The Microsoft Certified: Fabric Data Engineer Associate certification is a role-based credential designed for professionals who specialize in data engineering on the Microsoft Fabric platform. It validates skills in designing, building, and maintaining data ingestion, transformation, and storage solutions, with a notable emphasis on optimizing data pipelines for AI applications.

 

Course Summary:

Master data engineering solutions on Microsoft Fabric in just four days.

The DP-700T00: Microsoft Fabric Data Engineer course, offered by Trainocate, is a four-day training program that equips professionals with practical skills to design, build, and maintain data engineering solutions using Microsoft Fabric.

Aligned with the DP-700 exam, the course covers data ingestion, transformation, and storage, as well as optimizing data pipelines for AI applications. It leverages tools like Azure Data Factory, Azure Synapse Analytics, and Azure Databricks, making it an ideal preparation resource for the certification

Fees:

RM3,000 – RM3,374

Intakes:

17-20 Nov 2025 | 1-4 Dec 2025

Skills measured:

  • Design and Prepare a Data Engineering Solution (20–25%) 
  • Explore Data and Run Experiments (20–25%) 
  • Train and Deploy Models (25–30%) 
  • Optimize Data Pipelines for AI Applications (25–30%) 

Who is this for?

  • Data Engineer 
  • Data Architects 
  • AI Specialists  

Discover high-demand career opportunities as a Fabric Data Engineer with this certification.

Land Acquisition for Data Center: Microsoft has purchased land in Eco Business Park VI, Johor, for RM402.3 million (US$85.2 million) to develop a data center (Data Centre Magazine).
Regional Data Center Expansion: Princeton Digital Group (PDG) secured RM1.276 billion (US$280 million) in green loan financing for its 150MW AI-ready JH1 campus in Johor, highlighting the growing demand for data infrastructure in Malaysia (Kearney).
US$2.2 Billion Investment: Microsoft is pouring US$2.2 billion into Malaysia over the next four years to expand its cloud computing and AI services, making it the company’s largest investment in the country (Microsoft Blog).

Enhanced Data Analysis Capabilities:

This certification equips professionals with the skills to effectively analyze complex data, leading to informed, data-driven decisions that can optimize operations, identify growth opportunities, and mitigate risks.  

Flexible, Self-Paced Learning Paths:

The certification process offers self-guided learning paths, allowing professionals to explore Microsoft Fabric’s capabilities at their own pace, accommodating individual learning journeys and project timelines.

Access to a Supportive Learning Community:

Certified individuals gain entry to a global network of Azure experts and peers, providing opportunities to ask questions, share ideas, and stay updated on the latest developments in Microsoft Fabric.

Preparation for Advanced Certifications:

Earning this certification lays the groundwork for pursuing advanced Microsoft credentials, further enhancing one’s expertise and career advancement opportunities.

Why choose Trainocate?

As an authorized Microsoft training partner and winner of the 2024 Microsoft Training Partner of the Year award, Trainocate offers expert-led training and access to industry-recognized resources, ensuring you are fully equipped to pursue your certification. With our support, you’ll gain the confidence and skills needed to succeed in Microsoft AI.

Certification Details

Level:

Intermediate

Duration:

100 minutes

Role:

Data Engineer

Product:

Microsoft Fabric

Subject:

Data Engineering

Language offered:

English

Price:

$83 USD

Open up new possibilities for your career

Frequently Asked Questions (FAQs)

It’s a credential that validates your ability to implement and manage data engineering workloads on Microsoft Fabric, including AI pipeline optimization 

Data engineers and professionals with at least one year of experience in Microsoft Fabric and related Azure tools. 

Microsoft’s Fabric Data Engineer Associate (exam DP-700) is designed for data professionals who will:

  • Ingest, clean, and transform large datasets using pipelines;
  • Apply data orchestration to manage flows and dependencies;
  • Secure data pipelines and ensure governance around data access;
  • Monitor performance and optimize for cost, latency, and reliability.

These skills are particularly relevant because data platforms must handle hybrid workloads, fast data ingestion, and address data governance requirements. Fabric emphasizes unified lakehouse capabilities across data engineering, data science, and analytics workloads.

Candidates who earn this certification are expected to engage with SQL for relational structures, PySpark for large-scale transformations, and KQL to query logs and telemetry.

As data regulations tighten and real-time analytics become more expected, professionals with this certification can fill roles such as Data Engineer, Pipeline Developer, or Data Infrastructure Specialist.

Pro Tip: Build a portfolio project using Fabric pipelines—ingesting data, applying transformations in PySpark, and using monitoring dashboards—to show both theory and hands-on ability when applying for roles.

According to Coherent Market Insights (August 2025), the data fabric market is estimated at USD 3.55 billion in 2025, with forecasts pointing to USD 17.02 billion by 2032, showing a CAGR of approximately 25.1%.

Key drivers behind this growth include:

  • The explosion of data volumes across enterprises needing real-time, unified access;
  • Hybrid and multi-cloud architectures where data moves across environments;
  • Increased regulatory and governance demands that necessitate secure and consistent data handling.

For someone earning the Fabric Data Engineer Associate certification, this means market conditions are increasingly favorable: organizations will be investing in platforms like Microsoft Fabric to build governed, scalable data infrastructures.

These skills are becoming foundational as analytics, AI/ML, and business intelligence capabilities are pushed closer to operations.

Pro Tip: When interviewing, reference this market growth statistic to show awareness of broader industry context—employers appreciate candidates who understand not just technical skills but where the market is headed.

Microsoft’s investment of US$2.2 billion in Malaysia for cloud and AI infrastructure includes the establishment of the Malaysia West cloud region, comprising three new data centres slated to be operational by mid-2025. These data centres are expected to generate over 37,000 jobs over the next four years.

For data professionals, particularly those with the Fabric Data Engineer Associate certification, this is significant:

  • demand for structured data pipelines, data processing, orchestration, storage, and analytics will increase.
  • Local enterprises and multinational firms alike will need engineers who can work with Fabric’s unified data environments to handle data ingestion, transformation, governance, and optimization.

This infrastructure expansion not only increases job volume but also reduces latency, encourages data residency compliance, and gives Malaysian engineers the chance to architect and build locally rather than rely on distant cloud services.

Pro Tip: Highlight your alignment with Microsoft’s local infrastructure plans in your applications—mentioning the Malaysia West region and how your Fabric skills can help leverage those facilities.

Glassdoor’s data on Microsoft Fabric Data Engineer roles shows an estimated total pay range (base + bonuses) of USD $110,000 to $162,000 annually in the United States, with a median around $133,000.

While Malaysia will have lower numeric values due to regional pay scales, this range serves as a benchmark. Fabric Data Engineers certified in Malaysia can expect premium pay over general data engineering roles because of added value brought by skills in orchestration, multipurpose data pipelines, transformation across semi-structured formats, and governance — competencies which are still less common locally.

In cities like Kuala Lumpur, Penang, and Johor Bahru, senior data engineers with experience and certifications often close in on international standards adjusted for cost and tax differences. Middle roles can expect a good salary uplift upon adding certifications like Fabric Data Engineer Associate, especially when combined with experience in Azure/Fabric environments.

Pro Tip: Research local salary data for data engineering roles, then position your quoted salary as “aligned with enhanced Fabric-certified responsibilities”—this frames your value properly without overreaching.

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