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Microsoft DP-750 Exam Syllabus Topics:

Microsoft Implementing Data Engineering Solutions Using Azure Databricks Sample Questions:

Question 1

You have an Azure Databricks workspace that is enabled for Unity Catalog.
You need to share curated data with an external organization. The solution must meet the following requirements:
* The organization will use its own compute platform to query the data.
* Access to the data must be centrally governed by using Unity Catalog.
* Administrative effort must be minimized.
What should you do?

A. Create a Lakeflow Connect pipeline.
B. Use Delta Sharing.
C. Create a SQL warehouse for external users.
D. Grant workspace access to external users.
E. Create a pipeline to move the data to an SFTP server.

Question 2

You have an Azure Databricks workspace that is enabled for Unity Catalog.
You need to profile a table to meet the following requirements:
* The count of null values per column must be evaluated repeatedly as new records are added to the table.
* Changes in the count of null values must be observable over the progression of the dataset.
Which type of profile should you create?

A. inference
B. snapshot
C. time series

Question 3

You have an Azure Databricks workspace that is enabled for Unity Catalog and contains:
* A catalog named Finance
* A schema named Purchases in the Finance catalog
* A table named Transactions in the Purchases schema
You need to ensure that a user named finance_user can query the Transactions table. The solution must follow the principle of least privilege.
Which permission should you grant to finance_user for each object? To answer, drag the appropriate permissions to the correct objects. Each permission may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

Question 4

You have an Azure Databricks workspace and a remote Git repository named Repo1. Repo1 contains two branches named main and Branch1.
You are on a development team that works in Repo1.
You commit changes to Branch1 and must merge the changes into main.
Before completing the merge, you need to meet the following requirements:
* Ensure that Branch1 includes the changes committed to main since Branch1 was created.
* Ensure that merge conflicts are detected and resolved.
What should you do first?

A. Create a pull request for Branch1.
B. Pull the latest changes from main.
C. Merge main into Branch1.
D. Pull the latest changes from Branch1.

Question 5

You have an Azure Databricks workspace that is enabled for Unity Catalog and contains a Delta table named Orders.
You load the Orders table into an Apache Spark DataFrame named df.
You need to create a DataFrame that excludes rows where the order amount is null.
Solution: You run the following expression.
df.filter(df.order_amount.isNotNull())
Does this meet the goal?

A. No
B. Yes

Solutions: