Microsoft DP-750 Practice Test & Mock Exam

Last revised: June 15, 2026

Prepare for Microsoft DP-750 with a free diagnostic page, topic drills, timed mocks, detailed explanations, and the current IT Mastery question bank.

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Sample Exam Questions

Try these 12 original sample questions for Microsoft DP-750. Use them for study, self-assessment, and exam-scope review. They are not official Microsoft questions, copied live-exam content, or exam dumps.

Question 1

Topic: workspace setup

A data team needs an Azure Databricks workspace integrated with corporate identity and controlled access. What should be planned?

  • A. Workspace configuration, Microsoft Entra integration, network access, and role assignments.
  • B. A public anonymous workspace for all users.
  • C. A manually shared administrator password.
  • D. A desktop shortcut only.

Best answer: A

Explanation: DP-750-style setup questions focus on secure workspace configuration, access, and integration with Azure controls.

What this tests: Planning Azure Databricks environment setup.

Question 2

Topic: Unity Catalog

A company wants centralized governance for tables, permissions, lineage, and data discovery. Which Databricks capability is most relevant?

  • A. Local laptop folders.
  • B. Unity Catalog.
  • C. Azure DNS only.
  • D. Manual screenshots of schemas.

Best answer: B

Explanation: Unity Catalog provides governance across data and AI assets, including permissions, discovery, and lineage-oriented controls.

What this tests: Recognizing Unity Catalog governance use cases.

Question 3

Topic: data pipeline design

A batch pipeline ingests raw files, validates records, and writes curated tables for analytics. What should the engineer design?

  • A. A virtual desktop host pool.
  • B. A password reset process only.
  • C. A reliable bronze-to-silver-to-gold or equivalent processing workflow with validation.
  • D. A public DNS zone.

Best answer: C

Explanation: Databricks data-engineering work often organizes pipelines into layered processing with validation and curated outputs.

What this tests: Designing data processing stages.

Question 4

Topic: compute choice

A scheduled production job needs reliable execution and controlled cost. What should be selected carefully?

  • A. Browser zoom level.
  • B. Random personal clusters.
  • C. No cluster policy.
  • D. Job compute, cluster policy, sizing, libraries, and scheduling configuration.

Best answer: D

Explanation: Production workloads should use controlled compute configuration. Policies and sizing help balance reliability and cost.

What this tests: Choosing Databricks compute for jobs.

Question 5

Topic: data quality

A pipeline sometimes loads duplicate customer records. What should be added?

  • A. Data-quality expectations, deduplication logic, and failure handling.
  • B. More manual copying.
  • C. No validation.
  • D. A new wallpaper for the cluster.

Best answer: A

Explanation: Data engineering pipelines should include validation and handling for known data-quality issues. Duplicates should not be silently accepted.

What this tests: Applying data-quality controls.

Question 6

Topic: access control

Analysts should query curated tables but not raw sensitive files. What should the governance model use?

  • A. One shared all-access token.
  • B. Table and catalog permissions aligned to least privilege.
  • C. Public links to raw storage.
  • D. No audit logs.

Best answer: B

Explanation: Least-privilege access should be applied through catalog, schema, table, and storage controls where appropriate.

What this tests: Implementing governed access in Databricks.

Question 7

Topic: troubleshooting jobs

A nightly job fails after a library upgrade. What should the engineer inspect?

  • A. Only the job name.
  • B. The meeting calendar.
  • C. Run logs, cluster configuration, library versions, code changes, and data inputs.
  • D. The number of Azure subscriptions.

Best answer: C

Explanation: Job failures should be investigated using run evidence, environment changes, dependencies, code, and data. Library changes are a likely clue.

What this tests: Troubleshooting Databricks pipeline failures.

Question 8

Topic: incremental processing

A pipeline reprocesses all history every hour even though only new files arrive. What should be evaluated?

  • A. Manual deletion of history.
  • B. Running the job less often without understanding data needs.
  • C. Disabling all validation.
  • D. Incremental processing, checkpoints, and change-aware ingestion.

Best answer: D

Explanation: Incremental processing can reduce cost and latency when only new or changed data must be processed. Checkpointing helps reliability.

What this tests: Optimizing data pipeline design.

Question 9

Topic: monitoring and maintenance

Which signals are useful for maintaining Azure Databricks workloads?

  • A. Job success rate, duration, cluster utilization, data-quality failures, and cost trends.
  • B. Developer profile photos.
  • C. The number of browser bookmarks.
  • D. Local keyboard layout only.

Best answer: A

Explanation: Data-engineering operations need workload health, quality, performance, and cost signals. These guide maintenance and optimization.

What this tests: Selecting useful Databricks operational metrics.

Question 10

Topic: SQL and Python roles

A team uses SQL for transformations and Python for custom processing. What should the engineer ensure?

  • A. SQL and Python are never allowed together.
  • B. Workflows, dependencies, permissions, and tests support both languages consistently.
  • C. Only screenshots are saved.
  • D. Every notebook runs as an administrator.

Best answer: B

Explanation: Databricks commonly supports mixed-language workloads. The operational design should handle dependencies, testing, and permissions consistently.

What this tests: Managing multi-language Databricks workflows.

Question 11

Topic: route comparison

A learner wants Microsoft-specific Azure Databricks validation rather than the vendor-neutral Databricks certification route. Which page is closer?

  • A. MB-230.
  • B. AZ-140.
  • C. DP-750.
  • D. PL-900.

Best answer: C

Explanation: DP-750 is the Microsoft Azure Databricks route. Databricks vendor exams may still be useful, but the issuer and scope differ.

What this tests: Distinguishing Microsoft and Databricks certification routes.

Question 12

Topic: security boundary

A pipeline needs to read from Azure storage without embedding account keys in notebooks. What should be preferred?

  • A. Emailing keys to all analysts.
  • B. Hard-coded keys in every notebook.
  • C. Public anonymous storage access.
  • D. Managed identity or secure credential patterns with least-privilege access.

Best answer: D

Explanation: Production data pipelines should avoid embedded secrets and use controlled identity and credential management patterns.

What this tests: Securing data access from Databricks workloads.

Practice bank note: this Microsoft DP-750 bank is live. We continue expanding and refining high-demand banks based on learner usage, feedback, and syllabus updates.

Static diagnostic: a public diagnostic page is available for a one-pass self-check. Use IT Mastery for interactive web-app practice with mixed sets, timed mocks, topic drills, explanations, and progress tracking.

DP-750 is the beta exam for Microsoft Certified: Azure Databricks Data Engineer Associate. It focuses on Azure Databricks environments, Unity Catalog governance, data processing, pipelines, and workload maintenance.

This page includes 12 original sample questions. Use them to confirm that DP-750 matches your target exam, review the exam snapshot, and compare the closest live Azure and Databricks practice paths.

Who DP-750 is for

  • data engineers building and maintaining workloads on Azure Databricks
  • candidates who use SQL, Python, Unity Catalog, Azure Data Factory, Azure Monitor, and Microsoft Entra in data-engineering workflows
  • learners comparing Microsoft Azure Databricks with Databricks vendor certifications and Microsoft Fabric routes

DP-750 exam snapshot

  • Issuer: Microsoft
  • Platform: Microsoft Azure Databricks
  • Official certification name: Microsoft Certified: Azure Databricks Data Engineer Associate
  • Exam code: DP-750
  • Passing score: 700 scaled
  • Assessment style: beta exam with Azure Databricks setup, governance, processing, pipeline, and maintenance scenarios

Topic coverage for DP-750

AreaWhat to review
Environment setupworkspace configuration, compute, integration, access, and platform setup
GovernanceUnity Catalog, security, data quality, and policy-aware access
Data processingSQL, Python, transformation, modeling, and workload design
Pipelinesdeployment, maintenance, troubleshooting, and operational workflow

Practice options

  • Current status: live IT Mastery practice
  • Full IT Mastery bank: included for subscribers
  • Best use right now: start with the free diagnostic, confirm whether you need Microsoft’s Azure Databricks route or the Databricks vendor route, then use topic drills and timed mocks

Free study resources

Use this IT Mastery page for live practice, topic drills, timed mocks, explanations, and app access.

DP-750 Azure Databricks data engineering map

Use this map to connect the sample questions to the decision pattern Microsoft usually tests for this route.

    flowchart LR
	  S1["Ingest source data"] --> S2
	  S2["Transform with notebooks and jobs"] --> S3
	  S3["Store governed lakehouse data"] --> S4
	  S4["Optimize pipelines and clusters"] --> S5
	  S5["Secure workspace access"] --> S6
	  S6["Monitor quality and cost"]

Mini Glossary

  • Cluster: Databricks compute resources used to run notebooks, jobs, and queries.
  • Delta Lake: Storage layer commonly used for reliable lakehouse tables.
  • Job: Scheduled or triggered Databricks workload.
  • Lakehouse: Architecture combining data-lake storage with warehouse-like reliability and governance.
  • Notebook: Interactive document for code, analysis, and pipeline development.

Continue with IT Mastery practice

Use this page to review DP-750 sample questions and continue with IT Mastery practice. The related pages below help you compare adjacent IT Mastery Azure Databricks practice options before choosing what to study next.

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Official sources

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AZ-900
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