- Exam Code: DP-750
- Exam Name: Implementing Data Engineering Solutions Using Azure Databricks
- Updated: Sep 13, 2026
- Q & A: 93 Questions and Answers
Microsoft DP-750 Exam : Implementing Data Engineering Solutions Using Azure Databricks
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Microsoft DP-750 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Set up and configure an Azure Databricks environment | 15–20% | - Integrate with Azure services
|
| Topic 2: Secure and govern Unity Catalog objects | 15–20% | - Manage data sharing and permissions
|
| Topic 3: Deploy and maintain data pipelines and workloads | 30–35% | - Build and orchestrate pipelines
|
| Topic 4: Prepare and process data | 30–35% | - Optimize and manage data storage
|
Microsoft Implementing Data Engineering Solutions Using Azure Databricks Sample Questions:
Question #1
You need to curate Unity Catalog objects that reference the ERP data. The solution must meet the governance requirements.
What should you do?
- A. Create Delta tables directly inside the foreign catalog by running the CREATE TABLE AS SELECT (CTAS) command.
- B. Run the ALTER TABLE command on the foreign catalog tables to add new columns that are required for analytics.
- C. Create a volume in the foreign catalog and store curated Delta tables in the volume.
- D. In the managed analytics catalog, create views that reference foreign catalog tables that use three-level naming.
Correct Answer: D 🗳️
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Question #2
You have an Azure Databricks workspace that uses serverless compute.
You need to ingest data by using Lakeflow Jobs. New records must be processed as soon as they become available.
Which type of job trigger should you use for the ingestion?
- A. scheduled
- B. continuous
- C. file arrival
- D. manual
Correct Answer: B 🗳️
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Question #3
You have an Azure Databricks workspace that contains multiple all-purpose clusters. You discover that some clusters remain idle for long periods after users finish their work. You need to reduce compute costs without affecting active workloads. What should you do?
- A. Enable autoscaling.
- B. Configure automatic termination.
- C. Convert the clusters into job clusters
- D. Use spot instances.
Correct Answer: B 🗳️
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Question #4
You have an Azure Databricks workspace that is enabled for Unity Catalog. You plan to run the following PySpark code.
For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point.
Correct Answer:
Explanation:
For HOTSPOT questions, each statement must be evaluated against the actual PySpark code shown in the answer area. Key evaluation principles:
DataFrames are immutable - every transformation returns a new DataFrame; the original is unchanged.
Transformations (filter, select, groupBy, join) are lazy and only execute when an action (show, count, write) is called.
Null handling: df.filter(col != None) is incorrect in PySpark due to SQL null semantics; use col.isNotNull() or dropna() instead. Schema changes: using mergeSchema=true or schema evolution handles new columns.
Write modes: ' overwrite ' replaces existing data; ' append ' adds to it.
Always check whether the code uses the correct Delta format (.format( ' delta ' )), Unity Catalog three-part naming, and whether write operations include a checkpointLocation for streaming queries. Evaluate each statement strictly on what the code does, not on what it might intend to do.
Reference: https://learn.microsoft.com/en-us/azure/databricks/pyspark/basics
Question #5
You have an Azure Databricks workspace named Workspace! that uses a Git repository. The repository contains a Databricks notebook named Notebook1.
From the main branch, you create a feature branch named Branch! and commit changes to Notebooks Another user commits changes to Notebook1 in main.
When you attempt to merge Branch! into main, the merge fails due to conflicts.
You need to merge Branch! into the main branch. The solution must ensure that Notebook1 includes all the changes from both the branches.
What should you do?
- A. Apply the changes directly to the main branch.
- B. From Workspace1, clone the mam branch as a new repository.
- C. From Workspace1, clone Branch! as a new repository.
- D. Apply the main branch changes to Branch! and resolve the conflicts.
Correct Answer: D 🗳️
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