A pipeline ingests data from multiple sources, performs a join, and then applies a series of transformations. The team notices that the pipeline is slow and wants to optimize the order of operations. Which order is most likely to improve performance?

Join first, then filter, then perform aggregations.

Filter early, then join, then perform aggregations.

Perform all transformations in a single notebook cell.

Aggregate first, then join, then filter.

When designing a task in a Lakeflow Job that reads a Delta table and writes a filtered version, what is the most important consideration for the task logic?

Write the output to the same table as the input to avoid duplication

Ensure the task runs on a cluster with the largest possible number of workers

Use a notebook that prints the schema of the input table

Specify the correct input table and output path, and define the filtering logic clearly

A team wants to build a data pipeline that reads from a Delta table, applies a series of SQL transformations, and writes the results to a new Delta table. The team wants to avoid writing imperative code and prefers a declarative definition that can be easily reviewed and maintained. They also want the pipeline to be triggered on a schedule. Which approach should they use?

Use a Lakeflow Spark Declarative Pipeline to define the read, transform, and write steps, and then schedule the pipeline as a Lakeflow job task.

Write a Python script that uses the Databricks SQL Connector to run the transformations and schedule it with cron.

Use a Delta Live Tables pipeline with a single SQL query that performs all transformations and writes the result.

Create a notebook with SQL cells and schedule it as a Lakeflow job task.

A data engineering team needs to implement a pipeline that requires complex, custom business logic with conditional branching and interactive debugging. Which approach is most appropriate?

Use a SQL query in the Databricks SQL editor

Use a Delta Live Tables pipeline with Python

Use a Lakeflow Spark Declarative Pipeline

A team is creating a notebook-based pipeline that has three tasks: extract, transform, and load. The load task should only run after the transform task succeeds. The team also wants to be notified if the load task fails. What should they do?

Use a single notebook that runs all steps sequentially and add an alert on the notebook failure.

Set the transform task to depend on the load task, and add an alert on the job failure.

Set the load task to depend on the transform task, and add an alert on the load task failure.

Run all tasks in parallel and add an alert on the job failure.

Microsoft Certified:Azure Databricks Data Engineer Associate

Domain 4Objective 1

Design and Implement Data Pipelines DP-750 Practice Questions (Page 1)

Part of the Deploy and maintain data pipelines and workloads domain, which accounts for 30–35% of the DP-750 exam. Microsoft does not publish an official question count, but from its 120-minute exam (~50–80 total, ~15–28 in this domain), expect 4–7 from this objective — we provide 39 practice questions to prepare you well beyond it. (estimate)

39questions here

8free pages

6concepts

30–35%of the exam

Questions 1–5

1application · medium
A pipeline ingests data from multiple sources, performs a join, and then applies a series of transformations. The team notices that the pipeline is slow and wants to optimize the order of operations. Which order is most likely to improve performance?
Select an answer first
2foundation · easy
When designing a task in a Lakeflow Job that reads a Delta table and writes a filtered version, what is the most important consideration for the task logic?
Select an answer first
3application · medium
A team wants to build a data pipeline that reads from a Delta table, applies a series of SQL transformations, and writes the results to a new Delta table. The team wants to avoid writing imperative code and prefers a declarative definition that can be easily reviewed and maintained. They also want the pipeline to be triggered on a schedule. Which approach should they use?
Select an answer first
4foundation · easy
A data engineering team needs to implement a pipeline that requires complex, custom business logic with conditional branching and interactive debugging. Which approach is most appropriate?
Select an answer first
5application · medium
A team is creating a notebook-based pipeline that has three tasks: extract, transform, and load. The load task should only run after the transform task succeeds. The team also wants to be notified if the load task fails. What should they do?
Select an answer first

Finished these 5 questions?

Review the revealed explanations, or continue through the curriculum.

Next 5 questions →Back to DP-750

Free Basic Practice is a study aid with revealable answers — not a scored exam. Examers.io is independent and not affiliated with or endorsed by Microsoft. “DP-750” is a trademark of its owner, used for identification only.