What is the primary benefit of using Lakeflow Spark Declarative Pipelines for ingestion into Unity Catalog?

They provide a graphical drag-and-drop interface

They eliminate the need for clusters

Declarative configuration reduces the need for custom code

They only support batch ingestion

A data engineer needs to ingest data from a SQL Server database into a Unity Catalog table. The engineer wants to use a Databricks notebook and perform a one-time full load. The engineer also wants to use the Delta table as a managed table in Unity Catalog. Which approach should the engineer use?

Use Spark SQL CTAS: CREATE TABLE ... AS SELECT * FROM jdbc.`sqlserver`

Use Auto Loader with the JDBC source.

Use COPY INTO with the JDBC source.

Use Spark Structured Streaming with the JDBC source.

A data engineering team wants to migrate their existing notebook-based ingestion pipelines to a declarative model. They have both batch and streaming sources, and they want to reduce operational overhead. They also want to use Auto Loader for file-based ingestion. Which approach should they choose?

Use SQL COPY INTO for all ingestion, including streaming sources

Migrate to Lakeflow Spark Declarative Pipelines, defining batch and streaming pipelines with Auto Loader sources

Use Lakeflow Connect for all ingestion, including file-based sources

Keep using notebooks but add more scheduling and monitoring

When using Lakeflow Connect for streaming ingestion, what does the service automatically manage to ensure fault tolerance and exactly-once processing?

Checkpointing and offset tracking

Microsoft Certified:Azure Databricks Data Engineer Associate

Domain 3Objective 2

Ingest Data into Unity Catalog DP-750 Practice Questions (Page 5)

Part of the Prepare and process data domain, which accounts for 30–35% of the DP-750 exam. Microsoft does not publish an official question count, but from its 120-minute exam (~50–80 total, ~15–28 in this domain), expect 4–7 from this objective — we provide 44 practice questions to prepare you well beyond it. (estimate)

44questions here

9free pages

11concepts

30–35%of the exam

Questions 21–25

21foundation · easy
Which SQL command is used to incrementally load data from files in cloud storage into a Delta table in Unity Catalog?
Select an answer first
22foundation · easy
What is the primary benefit of using Lakeflow Spark Declarative Pipelines for ingestion into Unity Catalog?
Select an answer first
23application · medium
A data engineer needs to ingest data from a SQL Server database into a Unity Catalog table. The engineer wants to use a Databricks notebook and perform a one-time full load. The engineer also wants to use the Delta table as a managed table in Unity Catalog. Which approach should the engineer use?
Select an answer first
24expert · hard
A data engineering team wants to migrate their existing notebook-based ingestion pipelines to a declarative model. They have both batch and streaming sources, and they want to reduce operational overhead. They also want to use Auto Loader for file-based ingestion. Which approach should they choose?
Select an answer first
25foundation · easy
When using Lakeflow Connect for streaming ingestion, what does the service automatically manage to ensure fault tolerance and exactly-once processing?
Select an answer first

Finished these 5 questions?

Review the revealed explanations, or continue through the curriculum.

Next 5 questions →Back to DP-750

Free Basic Practice is a study aid with revealable answers — not a scored exam. Examers.io is independent and not affiliated with or endorsed by Microsoft. “DP-750” is a trademark of its owner, used for identification only.