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Microsoft DP-750 Exam Syllabus Topics:

Microsoft Implementing Data Engineering Solutions Using Azure Databricks Sample Questions:

1. You have an Azure Databricks workspace that is enabled for Unity Catalog.
You have a Lakeflow Spark Declarative Pipelines (SDP) pipeline that writes numerical data to a table named Table1 by using a data quality validation rule named rule1.
You need to modify rule1 to meet the following requirements:
Ensure that amount is always greater than 0.
Prevent an update to Table1 from being committed when data that violates rule1 is detected.
Which statement should you execute?

A) @dlt.expect( " rule1 " , " amount > 0 " )
B) @dlt.expect_or_fail( " rule1 " , " amount > 0 " )
C) @dlt.expect_all_or_drop({ " rule1 " : " amount > 0 " })
D) @dlt.expect_or_drop( " rule1 " , " amount > 0 " )

2. You have an Azure Databricks workspace.
You have an Azure key vault named kv-secure that stores a secret named storageKey. The value of storageKey is managed and updated by the cloud security team at your company.
You need to enable a Databricks notebook named Notebook 1 to retrieve the value of storageKey securely at runtime. The solution must follow the principle of least privilege and always retrieve the latest value.
What should you do? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

3. You manage Declarative Automation Bundles by using the Databricks CLI.
You run the following command in a terminal window.
databricks bundle init
What occurs when you run the command?

A) The bundle configuration is validated.
B) Bundle-defined resources are deployed to the Databricks workspace.
C) Jobs or pipelines defined in the bundle are run.
D) A new Declarative Automation Bundles project structure is created.

4. 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 a volume in the foreign catalog and store curated Delta tables in the volume.
B) Create Delta tables directly inside the foreign catalog by running the CREATE TABLE AS SELECT (CTAS) command.
C) Run the ALTER TABLE command on the foreign catalog tables to add new columns that are required for analytics.
D) In the managed analytics catalog, create views that reference foreign catalog tables that use three-level naming.

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

Solutions: