Certification Overview

To earn the Azure Databricks Data Engineer Associate certification, candidates must pass one required exam.

📌 Important

• Microsoft lists this as a single-exam certification path.
• There are no mandatory prerequisite exams or prerequisite certifications required for this certification.

Track Details & Exam Requirements

🔹 Core Exam (Required)

DP-750: Implementing Data Engineering Solutions Using Azure Databricks

This exam measures your ability to configure Azure Databricks environments, secure and govern Unity Catalog objects, prepare and process data, and deploy and maintain data pipelines and workloads.

Exam Details

• Exam Code: DP-750
• Exam Duration: ~100 minutes
• Passing Score: 700 / 1000
• Exam Type: Microsoft role-based certification exam
• Delivery: Pearson VUE (online proctoring or test center)
• Languages: English
• Current Status: Beta

📌 Microsoft notes that beta exams are not scored immediately, and results are typically released several weeks after the beta period ends.

What This Certification Validates

With the Azure Databricks Data Engineer Associate certification, you demonstrate the ability to:

• Set up and configure an Azure Databricks environment
• Secure and govern Unity Catalog objects
• Prepare and process large-scale datasets
• Deploy and maintain data pipelines and workloads
• Apply data quality and governance best practices
• Work with SQL and Python in Azure Databricks environments

These capabilities help organizations build secure, governed, and scalable data engineering solutions on Azure Databricks.

Exam Skills Measured

The DP-750 exam evaluates several key skill domains.

1. Set Up and Configure an Azure Databricks Environment (15–20%)

Candidates must understand how to:

• Select and configure compute in a Databricks workspace
• Configure performance and workspace settings
• Install libraries and manage dependencies
• Configure permissions and access control
• Create and organize objects in Unity Catalog

2. Secure and Govern Unity Catalog Objects (15–20%)

Candidates should be able to:

• Grant privileges to users, groups, and service principals
• Implement table-, column-, and row-level security
• Access secrets using Azure Key Vault
• Configure audit logging and data lineage
• Design secure Delta Sharing strategies

3. Prepare and Process Data (30–35%)

This domain focuses on:

• Designing ingestion pipelines and source configurations
• Choosing ingestion tools and loading methods
• Selecting appropriate file formats and table formats
• Implementing partitioning and clustering strategies
• Cleansing, transforming, and loading data into Unity Catalog

4. Deploy and Maintain Data Pipelines and Workloads (30–35%)

Candidates must understand how to:

• Deploy and manage pipelines in Azure Databricks
• Schedule and orchestrate data workloads
• Maintain production-grade data engineering pipelines
• Troubleshoot and optimize pipeline performance

Validity & Recertification

Microsoft role-based certifications expire annually.

To renew certification:

• Complete a free online renewal assessment on Microsoft Learn before the certification expiration date.

Recommended Experience

Although there are no formal prerequisites, Microsoft recommends candidates have:

• Experience integrating and modeling data
• Experience building and deploying optimized pipelines
• Experience troubleshooting Databricks workloads
• Knowledge of Unity Catalog governance and security
• Ability to work with SQL and Python for data processing
• Familiarity with Git-based SDLC practices
• Familiarity with Microsoft Entra ID, Azure Data Factory, and Azure Monitor

This certification is considered an intermediate associate-level certification.

Who Should Pursue This Certification?

This certification is ideal for professionals such as:

• Data Engineers
• Azure Databricks Engineers
• Cloud Data Platform Engineers
• Analytics Engineers working with Databricks
• Professionals responsible for governed data pipelines

Career Benefits

• Demonstrates hands-on Azure Databricks data engineering expertise
• Validates skills in Unity Catalog governance and secure data processing
• Supports careers in modern cloud data engineering and analytics platforms
• Shows employers you can build and maintain optimized data pipelines on Azure

Summary

The Microsoft Certified: Azure Databricks Data Engineer Associate certification validates a candidate’s ability to configure Databricks environments, govern data using Unity Catalog, process large datasets, and deploy data pipelines.

Key points

• Requires one exam: DP-750
• No prerequisite certification or prerequisite exam
• Focuses on Azure Databricks, Unity Catalog governance, and data pipeline engineering
• Currently listed by Microsoft as beta
• This certification is designed for professionals responsible for building secure, governed, and scalable data engineering solutions using Azure Databricks.