
Microsoft DP-750 Exam Practice Questions
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Every question with the correct answer and why the other options are wrong.
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Three of the 108 questions in this pack
Question 1
Note: This section contains one or more sets of questions with the same scenario and problem. Each question presents a unique solution to the problem. You must determine whether the solution meets the stated goals. More than one solution in the set might solve the problem. It is also possible that none of the solutions in the set solve the problem. After you answer a question in this section, you will NOT be able to return. As a result, these questions do not appear on the Review Screen.You have an Azure Databricks workspace named Workspace1 that contains a lakehouse and is enabled for Unity Catalog.You have a connection to a Microsoft SQL Server database named DB1.You need to expose the schemas and tables of DB1 to meet the following requirements:The schemas and tables can be queried in Databricks.The schemas and tables appear alongside other Unity Catalog objects. The data is NOT copied into Databricks-managed storage. Solution: You create a foreign catalog in Catalog Explorer.Does this meet the goal?
Show answer and explanation
Correct answer: A. Yes
A foreign catalog in Azure Databricks Unity Catalog is specifically designed to expose external database schemas and tables (such as those in Microsoft SQL Server) within the Unity Catalog framework. When you create a foreign catalog connected to DB1, the schemas and tables become queryable in Databricks, appear alongside other Unity Catalog objects in Catalog Explorer, and the data remains in the source SQL Server database without being copied into Databricks-managed storage. This solution directly addresses all three requirements.
Why the other options are wrong
- B. Foreign catalogs are the correct mechanism for exposing external database schemas and tables in Unity Catalog without data duplication.
Question 2
You have an Azure Databricks workspace. You are creating a Lakeflow Spark Declarative Pipelines (SDP) pipeline that scales automatically. You need to configure compute for the pipeline. The solution must minimize operational costs and effort. What should you use?
Show answer and explanation
Correct answer: C. a job cluster that uses autoscaling
Job clusters with autoscaling are purpose-built for running Spark Declarative Pipelines. They automatically scale to handle variable workloads, minimizing costs by terminating after job completion and only running when needed. Unlike all-purpose clusters that remain running and incur continuous charges, job clusters are created for specific jobs and destroyed afterward, providing both cost efficiency and operational simplicity for scheduled pipeline execution.
Why the other options are wrong
- A. SQL warehouses are designed for SQL queries on Delta tables, not for Spark transformation pipelines.
- B. All-purpose clusters with autoscaling remain running between jobs, incurring unnecessary costs and requiring manual management.
- D. Single-node clusters cannot handle the scaling requirements of production pipelines and lack distributed processing capabilities.
Question 3
You have an Azure Databricks workspace that is attached to a Unity Catalog metastore named metastore1, metastore1 contains a catalog named catalog1.You need to create a new schema named schema2 that meets the following requirements:Is contained in catalog1 -Uses abfss://[email protected]/data as the managed locationWhich SQL statement should you execute?
Show answer and explanation
Correct answer: B. CREATE SCHEMA catalog1.schema2 -MANAGED LOCATION ‘abfss://[email protected]/data’;
The correct syntax for creating a schema in Unity Catalog with a managed location uses the MANAGED LOCATION clause. The statement CREATE SCHEMA catalog1.schema2 MANAGED LOCATION 'abfss://[email protected]/data' properly specifies that schema2 belongs to catalog1 and designates the Azure Data Lake Storage Gen2 path as the managed location for tables created in this schema.
Why the other options are wrong
- A. The LOCATION clause without MANAGED keyword is deprecated syntax and does not properly designate the managed location in Unity Catalog.
- C. CREATE CATALOG creates a new catalog, not a schema within an existing catalog.
- D. DBPROPERTIES syntax does not support location configuration; the MANAGED LOCATION clause is the correct approach.
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How much of the Microsoft DP-750 bank is free?
108 questions in the bankEach step includes the one before, so buying only adds new questions.
- You are here10questionsFree sampleThree on this page, all ten as a PDF.Download the sample
- 2725% of the bankPractice pageFree on the site, every answer explained.Go to the practice page
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- 108100%, the whole bankFull pack, US$39Plus the questions-only PDF, monthly updates, refund if you fail.Get the full pack
What’s in the Microsoft DP-750 pack
- 108 questions mapped to the DP-750 exam objectives
- Answers and explanations for every question, including the wrong options
- A questions-only PDF for timed practice runs
- Delivered by email shortly after checkout
- Free monthly updates for as long as the exam is live
- Pass or your money back
A DP-750 attempt costs US$165 in the US. This pack is US$39, paid once.
What makes the DP-750 hard
DP-750 is Microsoft's own Databricks exam, launched in March 2026. It overlaps with the Databricks Certified Data Engineer Associate exam but is not the same one: this version is written around the Azure side of the platform, so Microsoft Entra, Azure Data Factory, Key Vault secrets, managed identities, Event Hubs ingestion and Azure Monitor log streaming all appear alongside the Databricks material.
Two thirds of the exam is Prepare and process data plus Deploy and maintain pipelines, and the vocabulary is the current Lakeflow generation: Lakeflow Connect for ingestion, Lakeflow Spark Declarative Pipelines with Auto Loader and expectations, Lakeflow Jobs with triggers, alerts and automatic restarts, and Databricks Asset Bundles deployed through the CLI or REST. Unity Catalog governance is a domain of its own, with attribute-based access control through tags and policies, row filters and column masks, lineage in Catalog Explorer and Delta Sharing.
Performance questions expect candidates to read a DAG and the Spark UI for skew, spill and shuffle, and to know liquid clustering, Z-ordering, deletion vectors, OPTIMIZE and VACUUM. Because the exam is only a few months old, there is very little study material in circulation, and anyone with Databricks experience from a couple of years back will lose marks on the Lakeflow naming alone.
About the exam
DP-750 (Implementing Data Engineering Solutions Using Azure Databricks) leads to Microsoft Certified: Azure Databricks Data Engineer Associate. It covers configuring Azure Databricks compute and Unity Catalog objects, securing and governing Unity Catalog, ingesting, transforming and validating data, and building, deploying and troubleshooting Lakeflow pipelines and jobs. Associate level, no prerequisites. Skills measured as of 11 March 2026.
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Shelby Terron –
I was impressed with the quick support. Whenever I had a question, the team replied fast and gave me clear guidance.
Phillip Ebersold –
The high coverage helped me feel more prepared and reduced my stress before the DP-750 exam.
Moore –
Thanks for your Implementing Data Engineering Solutions Using Azure Databricks dumps.