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Microsoft DP-750 Exam Syllabus Topics:

Microsoft Implementing Data Engineering Solutions Using Azure Databricks Sample Questions:

1. You need to recommend a compute type for the production ingestion workloads and BI workloads. The solution must meet the environment and compute requirements.
What should you recommend for each type of workload? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

2. You use Databricks Asset Bundles to manage two jobs and an app.
You need to deploy the bundle to development and production environments. The solution must meet the following requirements
* Deploy the app to both environments.
* Deploy only one job to development.
* Minimize administrative effort.
What should you use?

A) separate databricks.yml files for each environment
B) a targets node in a databricks.yml file
C) a resources node in a databricks.yml file
D) a variables node in a databricks.yml file

3. You have an Azure Databricks workspace that contains the objects shown in the following table.
Name | Type
Catalog1 | Catalog
Schema1 | Schema
Sales1 | Table
Notebook1 | Notebook
Space1 | AI/BI Genie space
Users often use the following words to refer to a sale: transaction, event, order, and invoice.
You need to create a knowledge store. The solution must ensure that when the users use any of the words in Space1, Genie queries the Sales1 table. Any other Genie spaces must remain unaffected.
To which object should you add the instructions?

A) Sales1
B) Notebook1
C) Space1
D) Schema1

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

5. You have an Azure Databricks workspace that is enabled for Unity Catalog.
You need to implement a daily batch data process that requires complex and highly customized Python transformations. The solution must minimize additional complexity.
What should you include in the solution?

A) a Databricks notebook triggered by a job
B) an Azure Data Factory pipeline that has data flows
C) a continuous job in Lakeflow Jobs
D) a Lakeflow Spark Declarative Pipelines (SDP) pipeline

Solutions: