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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 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) Space1
C) Notebook1
D) Schema1

2. You have an Azure Databricks workspace named Workspace1 that is attached to a Unity Catalog metastore named metastore1 You need to register an Azure Storage account named account1 that has a hierarchical namespace enabled as an external location The external location must use a managed identity to authenticate to account1 and the solution must follow the principle of least privilege.
Which three actions should you perform in sequence ' To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

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

4. You need to develop the task logic for a new job in Lakeflow Jobs that processes telemetry data.
Each task must contain only the appropriate logic for its step in the pipeline. The solution must support the planned changes and meet the data ingestion and processing requirements.
What should you do?

A) Use a single Databricks notebook task that performs ingestion, cleansing, and curation in one script.
B) Create three tasks that each contains the identical logic and use task retries.
C) Create separate tasks for ingestion, cleansing, and curation.
D) Use a single SQL task that performs ingestion, cleansing, and curation by running merge commands.

5. You have an Azure Databricks workspace that contains a Delta table named Customer.
A job named Job1 performs frequent upserts into Customer.
You discover that Job1 has created many small Parquet files in Customer, and the small files are degrading query performance.
You need to improve query performance for the current data already stored in Customer. The solution must not affect the travel for the Customer table.
What should you do?

A) Run the OPTIMIZE command on the Customer table.
B) Run the VACUUM command on the Customer table.
C) Set the delta.autoOptimize.optimizeWrite Apache Spark configuration to true.
D) Set the delta.deletedFileRetentionDuration table property to 1 day.

Solutions: