The Microsoft DP-750: Implementing Data Engineering Solutions Using Azure Databricks exam is designed for data engineering professionals who want to validate their expertise in developing, deploying, securing, and optimizing enterprise data solutions using Azure Databricks.
Passing this exam earns the Microsoft Certified: Azure Databricks Data Engineer Associate certification.

DP-750 is an intermediate-level Microsoft certification exam that validates practical skills in Azure Databricks, data ingestion, transformation, data governance, pipeline orchestration, and performance optimization.
The certification focuses on building scalable, reliable, and secure data engineering solutions using technologies such as Apache Spark, SQL, Python, Delta Lake, and Unity Catalog.
It helps professionals demonstrate their ability to manage modern data engineering workloads in Microsoft Azure environments.

The DP-750 exam evaluates candidates across four major skill areas.
Skills Measured Weightage
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%
Candidates should have practical knowledge of SQL, Python, Spark, data processing, security, workflow automation, and performance troubleshooting

The DP-750 certification is suitable for:

• Azure Data Engineers looking to specialize in Databricks-based solutions.

• Databricks Data Engineers seeking Microsoft certification.

• ETL Developers working with large-scale data integration and transformation.

• SQL Developers transitioning into cloud data engineering.

• Python and PySpark Developers building distributed data processing applications.

• Cloud Data Professionals responsible for data pipelines and lakehouse environments.

• Experienced Data Analysts planning to move into data engineering roles.

Basic knowledge of SQL, Python, cloud services, and data engineering concepts is recommended before preparing for this exam.

The DP-750 syllabus covers the following essential topics.

1. Azure Databricks Environment Configuration

• Azure Databricks workspace and compute configuration

• SQL warehouses, clusters, and serverless compute

• Unity Catalog, schemas, tables, and volumes

• Compute configuration and performance settings

2. Data Security and Governance

• Unity Catalog permissions and access control

• Row-level security and column masking

• Managed identities and service principals

• Data lineage, auditing, and Delta Sharing

3. Data Ingestion and Transformation

• Spark SQL and PySpark transformations

• Batch and streaming data ingestion

• Auto Loader and Structured Streaming

• Delta Lake tables and MERGE operations

• Change Data Capture (CDC)

• Data quality validation and schema enforcement

• Lakeflow Spark Declarative Pipelines

4. Data Pipeline Deployment and Optimization

• Lakeflow Jobs and workflow orchestration

• Scheduling, monitoring, and error handling

• Git integration and deployment automation

• Databricks CLI and Declarative Automation Bundles

• Spark performance tuning and query optimization

• Delta table optimization and troubleshooting

These topics align with Microsoft’s published DP-750 skills outline.

Earning the DP-750 certification can strengthen your professional profile and demonstrate your skills in Azure Databricks data engineering.

• Microsoft-Recognized Credential: Validate your technical expertise with an industry-recognized certification.

• Career Opportunities: Build relevant skills for Azure Data Engineer, Databricks Data Engineer, ETL Developer, and Cloud Data Engineer roles.

• Practical Expertise: Strengthen your understanding of scalable data pipelines, Delta Lake, and distributed processing.

• Professional Credibility: Demonstrate your ability to implement secure and optimized enterprise data engineering solutions.

• Career Advancement: Support your transition into more advanced cloud data engineering and data platform responsibilities.

• Competitive Advantage: Differentiate your profile when applying for roles involving Azure Databricks and modern lakehouse technologies.