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DP-750 Exam Guide

2026: Azure Databricks Data Engineer Associate – Syllabus, Fee and Study Plan

This DP-750 exam guide covers the Microsoft exam for the Azure Databricks Data Engineer Associate certification: a 120-minute proctored exam on Azure Databricks, Unity Catalog and Lakeflow pipelines, priced at ₹4,865 in India.

This DP-750 exam guide gives you everything in one place: syllabus with weightage, exam pattern, ₹4,865 fee, a 6-week study plan, free resources and how DP-750 compares with DP-700.

120 minutes Pass mark 700/1000 India fee: ₹4,865 4 domains Free yearly renewal
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By Dinesh, Azure Data Engineering Trainer (9+ years) · Brolly Academy · Updated 19 October 2026 · Skills measured as of 19 October 2026

DP-750 exam guide 2026 Azure Databricks Data Engineer Associate – Brolly Academy

Quick answer

DP-750 (Implementing Data Engineering Solutions Using Azure Databricks) is the exam for Microsoft Certified: Azure Databricks Data Engineer Associate. This DP-750 exam guide explains what it tests: setting up Azure Databricks, securing and governing data in Unity Catalog, preparing and processing data, and deploying and maintaining pipelines.

  • Exam time: 120 minutes, proctored, passing score 700 out of 1,000
  • Fee: ₹4,865 in India; USD 165 in the US
  • Languages you use: SQL and Python
  • Validity: one year, renewed free online

Key takeaways

  1. DP-750 is Microsoft's Azure Databricks data engineer exam. DP-700 is the Microsoft Fabric one.
  2. The biggest domains are Prepare and process data (30–35%) and Deploy and maintain pipelines and workloads (30–35%).
  3. Unity Catalog security and governance is a full domain (15–20%).
  4. You are expected to know Git, Microsoft Entra, Azure Data Factory and Azure Monitor alongside Databricks.
  5. Search interest in DP-750 in India jumped from almost zero to over 700 searches a month in 2026, so it is a new and growing credential.

Comparing Microsoft data engineering certifications? Read our Azure data engineer certification guide.

1. What is the DP-750 exam?

Short answer: DP-750 is a Microsoft associate-level exam for data engineers who build solutions on Azure Databricks. Passing it earns the Microsoft Certified: Azure Databricks Data Engineer Associate credential.

Microsoft describes the candidate as someone with subject-matter expertise in integrating and modeling data, building and deploying optimized pipelines, and troubleshooting and maintaining workloads in Azure Databricks, with experience applying data quality and data governance best practices in Unity Catalog.

Your responsibilities in this role include:

  • Setting up and configuring an Azure Databricks environment
  • Securing and governing Unity Catalog objects
  • Preparing and processing data
  • Deploying and maintaining data pipelines and workloads

You work with administrators, platform architects, solution architects, data scientists and data analysts.

2. DP-750 exam pattern and fee

Short answer: DP-750 is a single 120-minute proctored exam with a passing score of 700, taken online or at a Pearson VUE centre. It costs ₹4,865 in India.

Detail DP-750 Full name Implementing Data Engineering Solutions Using Azure Databricks Credential Microsoft Certified: Azure Databricks Data Engineer Associate Level Intermediate (Associate) Exam time 120 minutes Passing score 700 on a scale of 1–1,000 Format Proctored; may include interactive components Delivery Pearson VUE test centre or online from home Fee ₹4,865 in India; USD 165 in the US (Microsoft Learn pricing, October 2026) Exam languages English, Japanese, Chinese (Simplified), Chinese (Traditional), Korean, German, French, Italian, Portuguese (Brazil), Spanish Retake 24 hours after the first attempt; longer waits after that Validity 1 year; renew free with an online assessment

Source: DP-750 certification page and Microsoft Learn exam pricing, checked 19 October 2026.

3. DP-750 syllabus (skills measured as of 19 October 2026)

Short answer: The DP-750 syllabus has four domains. Two small ones cover setup and governance (15–20% each) and two big ones cover data processing and pipelines (30–35% each).

Domain Weight 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%

Domain 1: Set up and configure an Azure Databricks environment (15–20%)

Skill group What it covers Select and configure compute in a workspace Job, serverless, warehouse, classic and shared compute; node type, autoscaling, termination, pooling; Photon and runtime versions; libraries; compute permissions Create and organize objects in Unity Catalog Naming conventions; catalogs, schemas and volumes; tables, views and materialized views; foreign catalogs; DDL on managed and external tables; AI/BI Genie instructions

Domain 2: Secure and govern Unity Catalog objects (15–20%)

Skill group What it covers Secure Unity Catalog objects Granting privileges; table- and column-level access control; row-level security; Azure Key Vault secrets; service principals and managed identities Govern Unity Catalog objects Table and column descriptions; attribute-based access control (ABAC) with tags and policies; row filters and column masks; data retention; lineage in Catalog Explorer; audit logging; Delta Sharing

Domain 3: Prepare and process data (30–35%)

Skill group What it covers Design and implement data modeling in Unity Catalog Ingestion design; choosing Lakeflow Connect, notebooks or Azure Data Factory; batch vs streaming; table formats (Parquet, Delta, CSV, JSON, Iceberg); partitioning; slowly changing dimensions; liquid clustering and Z-ordering; managed vs unmanaged tables Ingest data into Unity Catalog Lakeflow Connect; notebooks; CTAS and COPY INTO; change data capture (CDC) feeds; Spark Structured Streaming; Azure Event Hubs; Lakeflow Spark Declarative Pipelines with Auto Loader Cleanse, transform and load data Profiling; data types; duplicates and nulls; filter, group, aggregate; joins, unions, pivot and unpivot; merge, insert and append Implement and manage data quality constraints Validation checks; data type checks; schema enforcement and schema drift; pipeline expectations

Domain 4: Deploy and maintain data pipelines and workloads (30–35%)

Skill group What it covers Design and implement data pipelines Order of operations; notebooks vs Lakeflow Spark Declarative Pipelines; Lakeflow Jobs task logic; error handling Implement Lakeflow Jobs Creating jobs; triggers; schedules; alerts; automatic restarts Implement development lifecycle processes Git branching and pull requests; unit, integration, end-to-end and user acceptance tests; Declarative Automation Bundles deployed with the Databricks CLI or REST APIs Monitor, troubleshoot and optimize workloads Cluster consumption; repairing jobs; Spark tuning with the DAG, Spark UI and query profile (caching, skew, spill, shuffle); OPTIMIZE and VACUUM; Azure Monitor logs and alerts

What changed on 19 October 2026: minor updates to Design and implement data modeling in Unity Catalog and Implement development lifecycle processes in Azure Databricks. See the official DP-750 study guide.

4. DP-750 vs DP-700: which one should you take?

Short answer: Take DP-750 if your company runs Azure Databricks. Take DP-700 if it uses or is moving to Microsoft Fabric. Many Hyderabad teams use both, so the second exam is easier once you have the first.

DP-750 DP-700 Credential Azure Databricks Data Engineer Associate Fabric Data Engineer Associate Platform Azure Databricks Microsoft Fabric Exam time 120 minutes 100 minutes Languages you use SQL and Python SQL, PySpark and KQL Governance focus Unity Catalog Fabric workspaces, OneLake security Pipelines Lakeflow Jobs, Lakeflow Spark Declarative Pipelines Data Factory pipelines, Dataflow Gen2, notebooks Fee in India ₹4,865 ₹4,865

Verdict: Check the job descriptions you are targeting. "Databricks", "Unity Catalog" or "Delta Live Tables/Lakeflow" point to DP-750; "Fabric", "OneLake" or "Lakehouse in Fabric" point to DP-700.

DP-750 vs the Databricks Certified Data Engineer Associate

Databricks also runs its own Data Engineer Associate exam (90 minutes, USD 200, valid two years). DP-750 is Microsoft's credential: it adds Azure-specific skills such as Microsoft Entra, Azure Key Vault, Azure Data Factory and Azure Monitor, and it renews free every year.

5. Skills to learn before DP-750

Short answer: You need solid SQL and Python, Spark basics, Delta Lake and Git. Azure basics (Entra ID, Key Vault, Monitor) help with the Azure-specific questions.

Skill Minimum level SQL Joins, window functions, MERGE, CTAS, COPY INTO Python + PySpark DataFrames, read/write Delta, Structured Streaming basics Delta Lake Managed vs external tables, OPTIMIZE, VACUUM, Z-ordering, liquid clustering Unity Catalog Catalog → schema → table hierarchy, grants, row filters and column masks Git Branches, pull requests, merge conflicts Azure Microsoft Entra service principals and managed identities, Key Vault, Azure Monitor

6. 6-week DP-750 study plan

Short answer: Spend 10–12 hours a week for six weeks, most of it hands-on in an Azure Databricks workspace.

Week Focus Hands-on goal 1 Workspace, compute types, Unity Catalog objects Create a catalog, schema, volume and managed table 2 Security and governance Grant privileges; add a row filter and a column mask; view lineage 3 Ingestion COPY INTO, Auto Loader, Event Hubs streaming, a CDC feed 4 Transformation and data quality Clean, join and MERGE data; add pipeline expectations 5 Pipelines and lifecycle Build a Lakeflow Job with retries and alerts; deploy with a bundle and Git 6 Monitoring, tuning and revision Fix skew or spill using the Spark UI; OPTIMIZE and VACUUM; practice assessment

7. Free official resources

Short answer: Use the free DP-750 study guide, the practice assessment on AI Skills Navigator, the exam sandbox and the Azure Databricks documentation.

Resource Use it for DP-750 study guide The official skills list and change log Practice assessment (AI Skills Navigator) Readiness check; linked from the certification page Exam sandbox Learning the exam interface and question types Azure Databricks documentation Looking up Unity Catalog, Lakeflow and compute details

For booking, exam day, retakes and renewal, the steps are the same as DP-700: see our Azure data engineer certification guide.

8. Common mistakes on DP-750

  1. Studying only Spark. Unity Catalog governance and Azure integration are two full topics.
  2. Ignoring Lakeflow. Jobs and Spark Declarative Pipelines appear across the pipeline domain.
  3. Skipping Git and testing. Branching, pull requests, unit and integration tests and bundles are tested.
  4. Never reading the Spark UI. Troubleshooting skew, spill and shuffle needs practice on real jobs.
  5. Using old Databricks material. Product names changed; study with the October 2026 skills list.

Learn Azure Databricks hands-on

Our Databricks Course covers SQL, Spark, Delta Lake, Unity Catalog and data pipelines in 8 practical modules with data engineering projects. Book a free demo to review the syllabus and batch timings.

9. How Brolly Academy helps

  • Our Databricks Course covers SQL, Spark, Delta Lake, Unity Catalog and data pipelines in 8 practical modules, taught by Ravi.
  • Our Azure Data Engineer Training in Hyderabad, taught by Dinesh (9+ years), covers Azure Data Factory, Synapse, Databricks, PySpark, SQL and Python with real-time projects, from ₹9,999.
  • Classroom, online and hybrid batches in English and Telugu, with a free demo class. Explore all courses at Brolly Academy.

Frequently asked questions

What is DP-750?

DP-750 is the Microsoft exam "Implementing Data Engineering Solutions Using Azure Databricks". Passing it earns the Microsoft Certified: Azure Databricks Data Engineer Associate credential.

How much does the DP-750 exam cost in India?

₹4,865 in India and USD 165 in the US, according to Microsoft Learn's exam pricing in October 2026. Taxes may be added at checkout.

How long is the DP-750 exam?

120 minutes. It is proctored and may include interactive components.

What is the DP-750 passing score?

700 on a scale of 1–1,000.

What is the DP-750 syllabus?

Four domains: set up and configure an Azure Databricks environment (15–20%), secure and govern Unity Catalog objects (15–20%), prepare and process data (30–35%), and deploy and maintain data pipelines and workloads (30–35%).

Is DP-750 better than DP-700?

Neither is better overall. DP-750 is for Azure Databricks work; DP-700 is for Microsoft Fabric work. Choose the platform your target jobs use.

Does DP-750 replace DP-203?

DP-203 was retired on 31 March 2025. Microsoft introduced DP-700 as its replacement; DP-750 is a separate certification focused on Azure Databricks.

Which programming languages does DP-750 need?

SQL and Python. You should also know Git and be familiar with Microsoft Entra, Azure Data Factory and Azure Monitor.

Is there a free DP-750 practice test?

Yes. Microsoft offers a free practice assessment on AI Skills Navigator, linked from the DP-750 certification page.

How long does it take to prepare for DP-750?

About 6 weeks at 10–12 hours a week if you already know SQL, Python and Spark basics. Beginners usually need 3–4 months.

Is DP-750 the same as the Databricks Data Engineer Associate?

No. The Databricks certification is run by Databricks (90 minutes, USD 200, valid two years). DP-750 is run by Microsoft, includes Azure-specific skills and renews free every year.

Does the DP-750 certification expire?

Yes. Microsoft associate certifications expire annually, and you renew them free by passing an online assessment on Microsoft Learn.

Sources and further reading

Learn with Brolly Academy

Review the syllabus, practical projects and batch timings, and book a free demo before you enrol.

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