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Evaluate the Microsoft Certified: Azure Databricks Data Engineer Associate (beta) Certification for Data Engineers

Scope for data engineers working with Azure Databricks, Unity Catalog, and data pipelines.

The Microsoft Certified: Azure Databricks Data Engineer Associate (beta) certification targets data engineers experienced in Azure Databricks, Unity Catalog, and data pipelines. It assesses subject matter expertise in integrating and modeling data, building optimized pipelines, and troubleshooting workloads. This credential helps users evaluate its alignment with real-world data engineering responsibilities in the Microsoft ecosystem.

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Credential overview

Understanding the Microsoft Certified: Azure Databricks Data Engineer Associate (beta)

Beta certification for data engineers working with Azure Databricks, Unity Catalog, data pipelines, and workload operations.

Microsoft Certified: Azure Databricks Data Engineer Associate (beta) is Microsoft's beta associate-level certification for Databricks-centered data engineering. It focuses on data engineers working with Azure Databricks, Unity Catalog, data pipelines, and workload operations. The public page organizes the exam around set up and configure an azure databricks environment, secure and govern unity catalog objects, prepare and process data, and deploy and maintain data pipelines and workloads. you should have subject matter expertise in integrating and modeling data, building and deploying optimized pipelines, and troubleshooting and maintaining workloads in Azure Databricks. That makes it most useful for researchers comparing real job-fit within the Microsoft ecosystem, not just collecting brand-name certifications.

Azure DatabricksUnity CatalogData pipelinesData EngineerAn Azure Databricks EnvironmentUnity Catalog Objects

Who should take it

Candidates should consider Azure Databricks Data Engineer Associate (beta) if their current or target role depends on Azure Databricks and they want a credential that mirrors real job expectations. It is strongest for practitioners who already perform at least part of the role and want proof that their experience lines up with Microsoft's own role definition. If the product family is central to your day-to-day work, this certification is usually a better fit than a broader but less role-specific Microsoft badge.

Best for

Microsoft Certified: Azure Databricks Data Engineer Associate (beta) is best suited to candidates already handling data engineer responsibilities in Azure Databricks. Microsoft expects candidates who should have subject matter expertise in integrating and modeling data, building and deploying optimized pipelines, and troubleshooting and maintaining workloads in Azure Databricks. It is a better fit for practitioners with genuine day-to-day exposure than for candidates who only know the product family from demos or high-level study.

Why it matters

Azure Databricks Data Engineer Associate (beta) has practical value because it gives employers and teams a recognizable signal around Databricks-centered data engineering. This is most valuable for teams using Databricks as a serious data engineering platform rather than a side tool. For role-based candidates, the value is stronger when the job actually depends on the product family, because the certification helps show role-specific capability rather than broad interest alone.

Requirements

Microsoft does not list a mandatory prerequisite certification for Azure Databricks Data Engineer Associate (beta) (DP-750), but the certification page clearly assumes hands-on experience. Candidates are generally expected to know the relevant admin tools, delivery patterns, and day-to-day workflows well enough to make sensible choices under exam pressure. In practice, that means this badge works best when it validates real role experience rather than serving as a first introduction to Azure Databricks.

Best fit

Who Microsoft Certified: Azure Databricks Data Engineer Associate (beta) is best suited for

Microsoft Certified: Azure Databricks Data Engineer Associate (beta) is best suited to candidates already handling data engineer responsibilities in Azure Databricks. Microsoft expects candidates who should have subject matter expertise in integrating and modeling data, building and deploying optimized pipelines, and troubleshooting and maintaining workloads in Azure Databricks. It is a better fit for practitioners with genuine day-to-day exposure than for candidates who only know the product family from demos or high-level study.

Who should take it

Candidates should consider Azure Databricks Data Engineer Associate (beta) if their current or target role depends on Azure Databricks and they want a credential that mirrors real job expectations. It is strongest for practitioners who already perform at least part of the role and want proof that their experience lines up with Microsoft's own role definition. If the product family is central to your day-to-day work, this certification is usually a better fit than a broader but less role-specific Microsoft badge.

Best for

Microsoft Certified: Azure Databricks Data Engineer Associate (beta) is best suited to candidates already handling data engineer responsibilities in Azure Databricks. Microsoft expects candidates who should have subject matter expertise in integrating and modeling data, building and deploying optimized pipelines, and troubleshooting and maintaining workloads in Azure Databricks. It is a better fit for practitioners with genuine day-to-day exposure than for candidates who only know the product family from demos or high-level study.

Career value

Career value of Microsoft Certified: Azure Databricks Data Engineer Associate (beta)

Azure Databricks Data Engineer Associate (beta) can support roles such as data engineer and nearby positions that rely on Azure Databricks. For associate and specialty paths, the career impact is strongest where hiring teams want role-specific Microsoft validation rather than general platform familiarity.

Azure Databricks Data Engineer Associate (beta) has practical value because it gives employers and teams a recognizable signal around Databricks-centered data engineering. This is most valuable for teams using Databricks as a serious data engineering platform rather than a side tool. For role-based candidates, the value is stronger when the job actually depends on the product family, because the certification helps show role-specific capability rather than broad interest alone.

Learning outcomes

Microsoft Certified: Azure Databricks Data Engineer Associate (beta) Learning Outcomes

These learning outcomes outline the functional areas tested within the DP-750 exam. Candidates are evaluated on their ability to configure environments, implement Unity Catalog governance, process complex data pipelines, and maintain production-ready workloads using Azure Databricks.

  • Set up and configure an Azure Databricks environment in Azure Databricks with a practical, exam-aligned approach.
  • Secure and govern Unity Catalog objects in Azure Databricks with a practical, exam-aligned approach.
  • Prepare and process data in Azure Databricks with a practical, exam-aligned approach.
  • Deploy and maintain data pipelines and workloads in Azure Databricks with a practical, exam-aligned approach.

Tags and keywords

Certification tags and search topics

Azure DatabricksUnity CatalogData pipelinesData EngineerAn Azure Databricks EnvironmentUnity Catalog ObjectsAzure Databricks Data Engineer AssociateAzure Databricks Data Engineer Associate certificationDP-750DP-750 examDP-750 certificationAzure Databricks Data Engineer Associate examData Engineer certificationAzure certificationAzure Databricks certificationAzure Databricks

Reference

Quick facts

Provider
Microsoft
Code
DP-750
Level
Associate
Credential type
Professional certification
Active exams
1
Known price
$165
Study time
60-120h
Last verified
Apr 16, 2026
Register

Provider

Microsoft

Microsoft

Private company

Exam details

Exam DP-750 Details: Microsoft Certified: Azure Databricks Data Engineer Associate (beta)

Exam DP-750 evaluates technical competency in Azure Databricks through a structured written assessment. This summary outlines core exam specifications, including the 100-minute duration and the professional testing format, helping candidates assess their readiness before scheduling.

DP-750

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

Proctored certification exam in beta with Microsoft’s standard exam experience.

Official exam
Type
Written
Duration
100 min

Passing score: 700 Scaled score

Exam sections

01

Set up and configure an Azure Databricks environment

Covers selecting and configuring compute types like job compute and serverless, managing performance settings such as autoscaling and node counts, and organizing Unity Catalog objects including catalogs, schemas, and tables while setting access permissions and libraries.

17.5% Weight
Preparation tips

Focus on understanding the different compute types and their performance settings, as well as the hierarchical organization of Unity Catalog objects.

02

Secure and govern Unity Catalog objects

Focuses on securing Unity Catalog objects through privileges, row-level security, and column masks. It also includes governing objects by managing tags, ABAC policies, and data lineage tracking, alongside implementing secure Delta Sharing strategies and audit logging.

17.5% Weight
Preparation tips

Understand how to implement fine-grained access control and how to track data lineage and audit logs within the Unity Catalog framework.

03

Prepare and process data

Covers data ingestion via Lakeflow Connect and Spark Structured Streaming, data cleansing, and complex transformations. Includes designing partitioning schemes, liquid clustering, and enforcing data quality constraints while managing schema drift and data modeling.

32.5% Weight
Preparation tips

Practice various ingestion methods and transformation techniques, particularly focusing on Delta Lake features like liquid clustering and schema enforcement.

04

Deploy and maintain data pipelines and workloads

Focuses on designing and implementing pipelines with Lakeflow Jobs and Asset Bundles. Includes managing development lifecycles via Git, monitoring workloads for performance tuning, and troubleshooting Spark jobs while optimizing Delta tables.

32.5% Weight
Preparation tips

Gain hands-on experience with Lakeflow Jobs and development lifecycle tools like Databricks Asset Bundles and Git integration.

Study effort

Preparation and Difficulty for Azure Databricks Data Engineer Associate (beta)

This certification targets candidates with significant day-to-day exposure to Azure Databricks. Exam scenarios test real-world administration and pipeline maintenance, making hands-on experience in Unity Catalog and data transformation essential for success in this role-based assessment.

Study time

60-120h

Difficulty

Recommended experience

24 months

Practice exam useful
Hands-on lab useful

Exam cost

Exam Fee and Pricing for Microsoft Certified: Azure Databricks Data Engineer Associate (beta)

Use the structured fee rows for the latest known amount and compare region, tax, voucher, or membership notes before registering.

$165

United States

Standard priceTax may vary

Prerequisites

What to know before starting Microsoft Certified: Azure Databricks Data Engineer Associate (beta)

Microsoft does not list a mandatory prerequisite certification for Azure Databricks Data Engineer Associate (beta) (DP-750), but the certification page clearly assumes hands-on experience. Candidates are generally expected to know the relevant admin tools, delivery patterns, and day-to-day workflows well enough to make sensible choices under exam pressure. In practice, that means this badge works best when it validates real role experience rather than serving as a first introduction to Azure Databricks.

Career fit

Roles and skills connected to this certification

Explore the roles and skills most directly connected to this certification, then use those paths to compare adjacent credentials.

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