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Microsoft Certified:Azure Databricks Data Engineer Associate

DP-750Azure Databricks Data Engineer Associate

The Microsoft Certified: Azure Databricks Data Engineer Associate certification validates your expertise in integrating and modeling data, building optimized pipelines, and maintaining workloads in Azure Databricks. It is designed for professionals who work with data engineering solutions and want to demonstrate their skills in data governance and quality.

Practice Free Questions

402 practice questions · Updated 2026-07-13

4Domains
12Objectives
110Concepts
402Questions

DP-750 Curriculum

Every domain, objective, and concept the DP-750 exam measures.

Select and configure compute in a workspace

5 concepts · 27 questions
  1. Compute Type Selection
  2. Compute Performance Configuration
  3. Compute Feature Settings
  4. Library Installation
  5. Access Permissions Configuration

Create and organize objects in Unity Catalog

9 concepts · 42 questions
  1. Naming Conventions
  2. Catalog Creation
  3. Schema Creation
  4. Volume Creation
  5. Table Creation
  6. View Creation
  7. Foreign Catalog Implementation
  8. DDL Operations
  9. AI/BI Genie Configuration

Secure Unity Catalog objects

7 concepts · 26 questions
  1. GrantingPrivileges
  2. TableLevelAccessControl
  3. ColumnLevelAccessControl
  4. RowLevelSecurity
  5. AccessAzureKeyVault
  6. ServicePrincipalAuthentication
  7. ManagedIdentityAuthentication

Govern Unity Catalog objects

9 concepts · 35 questions
  1. TableDefinitions
  2. ColumnDefinitions
  3. ABACConfiguration
  4. RowFilters
  5. ColumnMasks
  6. DataRetentionPolicies
  7. DataLineageTracking
  8. AuditLogging
  9. DeltaSharingSecurity

Design and implement data modeling in Unity Catalog

10 concepts · 42 questions
  1. Data Ingestion Logic Design
  2. Data Ingestion Tool Selection
  3. Data Loading Method Selection
  4. Data Table Format Selection
  5. Data Partitioning Scheme Design
  6. Slowly Changing Dimension Type Selection
  7. Granularity Selection
  8. Temporal Table Design
  9. Clustering Strategy Design
  10. Managed vs Unmanaged Tables

Ingest data into Unity Catalog

11 concepts · 44 questions
  1. Lakeflow Connect Batch Ingestion
  2. Lakeflow Connect Streaming Ingestion
  3. Notebook Batch Ingestion
  4. Notebook Streaming Ingestion
  5. SQL CTAS Ingestion
  6. SQL Create or Replace Table
  7. SQL COPY INTO Ingestion
  8. CDC Feed Ingestion
  9. Spark Structured Streaming Ingestion
  10. Azure Event Hubs Streaming Ingestion
  11. Lakeflow Spark Declarative Pipelines

Cleanse, transform, and load data into Unity Catalog

18 concepts · 20 questions
  1. Data Profiling
  2. Select Column Data Types
  3. Resolve Duplicates
  4. Handle Missing Values
  5. Manage Null Values
  6. Data Filtering
  7. Data Grouping
  8. Data Aggregation
  9. Data Joining
  10. Data Union
  11. Data Intersection
  12. Data Except
  13. Data Denormalization
  14. Data Pivoting
  15. Data Unpivoting
  16. Data Merge
  17. Data Insert
  18. Data Append

Implement and manage data quality constraints in Unity Catalog

7 concepts · 33 questions
  1. Nullability Checks
  2. Data Cardinality Checks
  3. Range Checking
  4. Data Type Checks
  5. Schema Enforcement
  6. Schema Drift Management
  7. Pipeline Expectations in Lakeflow

Design and implement data pipelines

6 concepts · 39 questions
  1. Order of Operations in Data Pipelines
  2. Notebook vs Lakeflow Spark Declarative Pipelines
  3. Task Logic Design for Lakeflow Jobs
  4. Error Handling in Data Pipelines
  5. Notebook-based Data Pipeline Creation
  6. Lakeflow Spark Declarative Pipeline Creation

Implement Lakeflow Jobs

5 concepts · 11 questions
  1. Job Creation
  2. Job Trigger Configuration
  3. Job Scheduling
  4. Job Alert Configuration
  5. Automatic Restart Configuration

Implement development lifecycle processes in Azure Databricks

12 concepts · 36 questions
  1. GitVersionControl
  2. BranchManagement
  3. PullRequestHandling
  4. ConflictResolution
  5. TestingStrategyImplementation
  6. UnitTesting
  7. IntegrationTesting
  8. EndToEndTesting
  9. UserAcceptanceTesting
  10. DatabricksAssetBundles
  11. CLIAssetBundleDeployment
  12. RESTAPIAssetBundleDeployment

Monitor, troubleshoot, and optimize workloads in Azure Databricks

11 concepts · 47 questions
  1. Cluster Consumption Monitoring
  2. Cluster Management
  3. Lakeflow Job Troubleshooting
  4. Spark Job Performance Tuning
  5. Spark Notebook Troubleshooting
  6. DAG Analysis
  7. Spark UI Utilization
  8. Query Profile Analysis
  9. Delta Table Optimization
  10. Log Streaming Implementation
  11. Alert Configuration
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Practice Free Questions

Percentages reflect share of the current practice bank, not official exam weightings — no structured per-skill weight is published for DP-750, so none is invented.