You are developing a Databricks Asset Bundle that deploys a job with multiple tasks: a notebook that ingests data, a notebook that transforms it, and a notebook that loads it into a Delta table. You want to verify that the notebooks can pass DataFrames between tasks correctly when run as a multi-task job. Which testing approach should you use?

Run a user acceptance test with business stakeholders.

Run an integration test that executes the multi-task job in a test environment and checks the output Delta table.

Run unit tests on each notebook's functions independently.

Run an end-to-end test on the production pipeline with real data.

What is the primary purpose of a unit test in Azure Databricks?

To validate a single function or transformation in isolation

To test the interaction between multiple notebooks

To verify that the user interface is responsive

To test the entire data pipeline with production data

In Azure Databricks, what is the primary purpose of using Git version control for notebooks and code files?

To automatically schedule notebook executions

To encrypt notebooks for secure sharing

To track changes, collaborate, and maintain a history of code revisions

To store large datasets in a distributed file system

What is the main objective of user acceptance testing in an Azure Databricks project?

To test the performance of the pipeline under load

To confirm that the system meets business requirements and is acceptable for deployment

To verify that all unit tests pass

When a Git merge conflict occurs in Azure Databricks, what does it indicate?

The notebook contains syntax errors

The remote repository is unavailable

Two branches have changes in the same part of a file that cannot be automatically merged

Microsoft Certified:Azure Databricks Data Engineer Associate

Domain 4Objective 3

Implement Development Lifecycle Processes in Azure Databricks 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 36 practice questions to prepare you well beyond it. (estimate)

36questions here

8free pages

12concepts

30–35%of the exam

Questions 1–5

1application · medium
You are developing a Databricks Asset Bundle that deploys a job with multiple tasks: a notebook that ingests data, a notebook that transforms it, and a notebook that loads it into a Delta table. You want to verify that the notebooks can pass DataFrames between tasks correctly when run as a multi-task job. Which testing approach should you use?
Select an answer first
2foundation · easy
What is the primary purpose of a unit test in Azure Databricks?
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3foundation · easy
In Azure Databricks, what is the primary purpose of using Git version control for notebooks and code files?
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4foundation · easy
What is the main objective of user acceptance testing in an Azure Databricks project?
Select an answer first
5foundation · easy
When a Git merge conflict occurs in Azure Databricks, what does it indicate?
Select an answer first

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