Microsoft Certified: Azure Databricks Data Engineer Associate

Intermediate Level

Demonstrate expertise in integrating and modeling data, building and deploying optimized pipelines, and troubleshooting and maintaining workloads in Azure Databricks.

As a data engineer, you understand that AI performance depends directly on the quality of its data. If the data isn’t clean, well-managed, and accessible at scale, even the most sophisticated AI models won’t perform as expected.

Introducing the Microsoft Certified: Azure Databricks Data Engineer Associate Certification, designed to prove that you have the skills required to build and operate reliable data systems by using Azure Databricks.

This certification focuses on building, optimizing, and managing data pipelines, working with big data solutions, and implementing scalable data processing workflows.

Learn how to design, secure, and manage Azure Databricks environments using Unity Catalog, Delta Lake, Lakeflow Jobs, SQL, Python, and Azure security services.

The DP-750T00: Implement Data Engineering Solutions using Azure Databricks is designed for data engineers and data professionals. The course covers Azure Databricks environment setup, Unity Catalog governance, data ingestion and processing, Delta Lake pipelines, Lakeflow Jobs, and production workload deployment.

  • Building data ingestion and transformation pipelines using SQL, Python, Delta Lake, and Databricks capabilities.
  • Setting up and configuring Azure Databricks environments, including workspaces, compute, and foundational architecture.
  • Applying data governance and security practices using Unity Catalog to manage access, compliance, and data quality.
  • Developing and automating workflows using Lakeflow Jobs to support scalable and repeatable data processing.
  • Deploying, monitoring, and optimising data pipelines to support production-ready workloads.

By the end of the course, learners should be able to implement, secure, and maintain scalable lakehouse solutions using Azure Databricks.

Fees:

RM3,000 – RM3,374

Intakes:

5-8 Oct 2026 | 2-5 Nov 2026

 

What are the key skills measured:

  • Set up and configure an Azure Databricks environment (15–20%)

  • Secure and govern Unity Catalog objects (15–20%)

  • Prepare and process data (30–35%)

  • Deploy and maintain data pipelines and workloads (30–35%) 

Who is this for?

  • Data engineers

  • ETL developers

  • Data platform professionals with experience

Position yourself to design and manage scalable data pipelines and lakehouse solutions using Azure Databricks to enable reliable, data‑driven analytics and AI outcomes.

Microsoft Azure is one of the highest-impact skills for Data Engineers in Malaysia, with PayScale showing a 48% salary uplift for professionals with Azure skills in 2026.

Source: PayScale

Malaysia’s data centre market is projected to grow from USD4.04 billion in 2024 to USD13.57 billion by 2030, reflecting rising demand for data infrastructure and data engineering expertise.

Source: Malaysian Investment Development Authority (MIDA)

Malaysia Digital investments surged 125% in Q2 2025 to RM29.47 billion. The Data Centre and Cloud vertical led with RM30.95 billion, reflecting growing demand for cloud infrastructure, governed data platforms, and data engineering talent.

Source: Malaysia Digital Economy (MDEC)

Validate Azure Databricks data engineering skills

Show your ability to integrate and model data, build optimized pipelines, and maintain workloads in Azure Databricks.

Build and deploy optimized pipelines

Strengthen skills in preparing and processing data using SQL, Python, Delta Lake, and Azure Databricks capabilities.

Apply governance with Unity Catalog

Develop the ability to secure and govern Unity Catalog objects while applying data quality and data governance best practices.

Maintain production workload

Prepare to deploy, troubleshoot, and maintain data pipelines and workloads in Azure Databricks.

Why choose Trainocate?

As an award‑winning global training provider and Microsoft Malaysia Learning Partner of the Year 2024, Trainocate delivers the DP-750T00 course as instructor-led or virtual instructor-led training. The course is aligned to Azure Databricks data engineering skills, including environment configuration, Unity Catalog governance, Delta Lake pipelines, Lakeflow Jobs, SQL, Python, and Azure security services. Learners can use the course to build practical skills and prepare for the Microsoft Certified: Azure Databricks Data Engineer Associate certification.

Certification Details

Level:

Intermediate

Required Exam:

Exam DP-750: Implementing Data Engineering Solutions Using Azure Databricks

Product:

Azure Databricks

Role:

Data Engineer

Cost:

$83 USD

Duration:

120 minutes

Language offered:

English, Chinese, French, German, Italian, Japanese, Korean, Portuguese-Brazilian, Spanish

Open up new possibilities for your career

Frequently Asked Questions (FAQs)

It validates expertise in integrating and modeling data, building and deploying optimized pipelines, and troubleshooting and maintaining workloads in Azure Databricks.

Data engineers, ETL developers, and data platform professionals who are responsible for designing, building, and managing data pipelines, lakehouse architectures, and scalable data engineering solutions using Azure Databricks, SQL, and Python in cloud environments.

The Microsoft Certified: Azure Databricks Data Engineer Associate (Exam DP‑750) is designed for professionals who will:

  • Set up and configure Azure Databricks environments, including workspaces, compute resources, and overall platform configuration.
  • Ingest, prepare, and transform data using SQL and Python to build scalable data pipelines for analytics and AI workloads.
  • Apply data governance, security, and quality practices using Unity Catalog to manage access control and ensure compliant data usage.
  • Deploy, monitor, and maintain data pipelines and workloads to ensure performance, reliability, and production readiness.

These competencies are critical as organisations increasingly rely on scalable lakehouse architectures and data pipelines to support analytics and AI initiatives. The certification emphasises end‑to‑end data engineering, from ingestion to governance and deployment, to ensure reliable and secure data operations.

Qualified candidates are expected to demonstrate proficiency in Azure Databricks, SQL, Python, data pipeline development, and data governance practices to build and maintain enterprise‑grade data engineering solutions.

This certification is relevant for professionals who work with Azure Databricks to build and maintain data engineering solutions. Microsoft states that candidates should be able to set up Azure Databricks environments, secure and govern Unity Catalog objects, prepare and process data, and deploy and maintain data pipelines and workloads.

The certification is also aligned to practical skills covered in the DP-750T00 course, including Delta Lake pipelines, Unity Catalog governance, Lakeflow Jobs, SQL, Python, and Azure security services.

You can prepare using Microsoft Learn learning paths, the official DP-750 study guide, and the exam sandbox. Microsoft Learn covers Azure Databricks environment setup, Unity Catalog governance, data preparation and processing, and deploying and maintaining pipelines and workloads.

For structured training, Trainocate offers DP-750T00 as a 4-day instructor-led or virtual instructor-led course covering Azure Databricks, Unity Catalog, Delta Lake, Lakeflow Jobs, SQL, Python, and Azure security services.

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