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

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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 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.

2. You have an Azure Databricks workspace that is attached to a Unity Catalog metastore named metastore1.
Metastore1 contains a catalog named catalog 1.
You need to create a new schema named schema2 that meets the following requirements:
* Is contained in catalog1
* Uses abfss://containergstorageaccount.dfs.core.windows.net/data as the Managed location Which SQL statement should you execute?

A) CREATE CATALOG schema2
MANAGED LOCATION ' abfss://[email protected]/data ' ;
B) CREATE SCHEMA catalog1.schema2
MANAGED LOCATION ' abfss://[email protected]/data ' ;
C) CREATE SCHEMA catalog1.schema2
LOCATION ' abfss://[email protected]/data ' ;
D) CREATE SCHEMA catalog1.schema2
WITH DBPROPERTIES (LOCATION= ' abfss://[email protected]/data
' );

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 contains a job in Lakeflow Jobs named Job1.
Job! 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

5. You have an Azure Databricks workspace.
Users report that a Databricks notebook that runs each day takes longer than expected to run.
When reading the Directed Acyclic Graph (DAG), you discover the following issues concerning the Apache Spark stage:
* Most tasks in the stage finish quickly.
* A few tasks in the stage run more slowly.
* The CPU is underutilized at the end of the stage.
* The slow tasks process many more input records.
* The stage is blocked while it waits for the few slow tasks.
What is the root cause of the issues?

A) caching
B) shuffling
C) skewing
D) spilling

Solutions: