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Microsoft DP-750 Exam Dumps -Updated Questions Answers Practice Test

Exam Code: DP-750 (Updated 108 Q&A with Detailed Explanation)
Exam Name: Implementing Data Engineering Solutions Using Azure Databricks
Last Update: 30-Oct-2026
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Microsoft DP-750 Exam Breakdown

Domain

Key topics to study

Priority

Azure Databricks environment setup

Configure compute types, clusters, serverless compute, SQL warehouses, autoscaling, libraries, runtime versions, and workspace permissions

High

Unity Catalog objects

Create catalogs, schemas, volumes, tables, views, and materialized views; understand managed and external tables

High

Security and access control

Configure privileges, service principals, managed identities, row-level security, column-level access, secrets, and Azure Key Vault integration

High

Data governance

Implement tags and policies, row filters, column masks, lineage tracking, audit logging, data retention, and Delta Sharing

High

Data ingestion and modeling

Use Lakeflow Connect, notebooks, Azure Data Factory, SQL, batch and streaming ingestion, and suitable table formats

Very High

Data transformation

Use SQL and Python to clean, filter, join, aggregate, pivot, merge, and load data; handle nulls, duplicates, and schema changes

Very High

Data quality

Apply validation checks, schema enforcement, schema-drift management, and pipeline expectations

High

Pipeline design

Build pipelines using notebooks and Lakeflow Spark Declarative Pipelines; design dependencies, task logic, and error handling

Very High

Lakeflow Jobs

Configure jobs, schedules, triggers, alerts, automatic restarts, and job execution settings

Very High

Development lifecycle

Use Git, branching, pull requests, automated testing, Declarative Automation Bundles, Databricks CLI, and REST APIs

High

Monitoring and optimization

Troubleshoot Spark jobs, analyze the Spark UI and query profiles, resolve skew and shuffle issues, and optimize Delta tables using OPTIMIZE and VACUUM

Very High

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