A company wants to enable real-time analytics on streaming data while also making the same data available for historical analysis in a lakehouse. They plan to use an Eventhouse. What should they configure to ensure data flows seamlessly from the Eventhouse to OneLake?

Create a shortcut from the lakehouse to the Eventhouse.

Use a Dataflow Gen2 to copy data from the Eventhouse to the lakehouse on a schedule.

Use a Spark notebook to read from the Eventhouse and write to the lakehouse.

Enable OneLake integration on the Eventhouse database.

Which of the following is a common method to ingest data into a Fabric Lakehouse?

Using the OneLake catalog to import data

Using the Copy Data activity in a Data Factory pipeline

Using the Real-Time hub to load historical CSV files

Using a semantic model to push data

A data modeler wants to create a semantic model that uses data from multiple lakehouses in different workspaces. The modeler wants to avoid duplicating data and ensure the model reflects the latest data. What should the modeler do?

Use the Real-Time hub to connect to the lakehouses and build the semantic model.

Copy the data from all lakehouses into a single new lakehouse and then create the semantic model.

Export the data from each lakehouse to CSV files and import them into the semantic model.

Create a semantic model that references tables from the lakehouses directly via OneLake.

A data engineer needs to access data stored in an Azure Data Lake Storage (ADLS) Gen2 account that is in a different tenant. The engineer wants to avoid copying the data into Fabric. What should the engineer do?

Use a Dataflow Gen2 to copy the data into a lakehouse.

Create a OneLake shortcut to the ADLS Gen2 account.

Create a connection to ADLS Gen2 and use it in a Spark notebook.

Use the Real-Time hub to connect to ADLS Gen2.

Which of the following is a valid way to access data in a Fabric Lakehouse?

Using the OneLake catalog to run queries

Using the Real-Time hub to query tables

Using the Power BI service to directly edit tables

Using SQL queries through the SQL analytics endpoint

Microsoft Certified:Fabric Analytics Engineer Associate

Domain 2Objective 1

Get Data DP-600 Practice Questions (Page 4)

Part of the Prepare data domain, which accounts for 45–50% of the DP-600 exam. Microsoft does not publish an official question count, but from its 100-minute exam (~40–65 total, ~18–33 in this domain), expect 6–11 from this objective — we provide 30 practice questions to prepare you well beyond it. (estimate)

30questions here

6free pages

8concepts

45–50%of the exam

Questions 16–20

16application · medium
A company wants to enable real-time analytics on streaming data while also making the same data available for historical analysis in a lakehouse. They plan to use an Eventhouse. What should they configure to ensure data flows seamlessly from the Eventhouse to OneLake?
Select an answer first
17foundation · easy
Which of the following is a common method to ingest data into a Fabric Lakehouse?
Select an answer first
18application · medium
A data modeler wants to create a semantic model that uses data from multiple lakehouses in different workspaces. The modeler wants to avoid duplicating data and ensure the model reflects the latest data. What should the modeler do?
Select an answer first
19application · medium
A data engineer needs to access data stored in an Azure Data Lake Storage (ADLS) Gen2 account that is in a different tenant. The engineer wants to avoid copying the data into Fabric. What should the engineer do?
Select an answer first
20foundation · easy
Which of the following is a valid way to access data in a Fabric Lakehouse?
Select an answer first

Finished these 5 questions?

Review the revealed explanations, or continue through the curriculum.

Next 5 questions →Back to DP-600

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-600” is a trademark of its owner, used for identification only.