Microsoft DP-750 : Implementing Data Engineering Solutions Using Azure Databricks

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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 named Workspace1 that contains a Git folder linked to a remote Git repository. The Git folder contains a Databricks notebook named Notebook1.
From the main branch, you create a feature branch named Branch1 and commit changes to Notebook1.
Another user commits changes to Notebook1 in main.
When you attempt to merge Branch1 into main, a merge conflict occurs.
You need to ensure that Notebook1 in main includes the changes from both branches.
What should you do?

A) From Workspace1, clone Branch1 as a new Git folder.
B) Merge main into Branch1, resolve the conflicts, and then complete the merge of Branch1 into main.
C) From Workspace1, clone the main branch as a new Git folder.
D) Apply the changes directly to the main branch.

2. You have an Azure Databricks workspace that contains a Delta table named Table 1. Table 1 has accumulated obsolete files.
You need to reduce storage costs. The solution must preserve 30 days of time travel history. Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

A) Run the vacuum command on Table1.
B) Set the delta.deletedFileRetentionDuration table property to 10 days
C) Run the OPTIMIZE command on Table1
D) Set the delta. logRetentionDuration table property to 30 days.
E) Reduce the deleted file retention period to one day.

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

4. You have an Azure Databricks workspace that is enabled for Unity Catalog. You plan to run the following PySpark code.

For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point.

5. You have an Azure Databricks workspace that contains a job in Lakeflow Jobs named Job1.
Job1 processes raw data files stored in Azure Storage.
New files arrive at unpredictable intervals.
You need to ensure that Job1 starts automatically when new files arrive and does NOT consume compute resources when no data is available.
Which type of job trigger should you use?

A) manual
B) file arrival
C) continuous
D) scheduled

Solutions: