Dataflow entities in Power BI - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is a dataflow entity in Power BI?

A dataflow entity is a table or dataset created and stored in Power BI dataflows. It holds cleaned and transformed data that can be reused across multiple reports and dashboards.

beginner

How do dataflow entities help in data reuse?

Dataflow entities store data centrally in Power BI service, allowing multiple reports to connect to the same cleaned data without repeating data preparation steps.

intermediate

What is the main difference between a dataflow entity and a dataset?

A dataflow entity is stored in Power BI service as part of a dataflow and focuses on data preparation, while a dataset is a model used directly by reports and dashboards.

intermediate

Can you refresh dataflow entities independently from datasets?

Yes, dataflow entities can be refreshed separately in Power BI service, updating the stored data before reports that use them refresh their datasets.

beginner

What tool is used to create and manage dataflow entities?

Power Query Online is used within Power BI service to create, transform, and manage dataflow entities.

What is stored inside a dataflow entity?

A Cleaned and transformed data tables

B Visual report layouts

C User access permissions

D Raw data files only

Dataflow entities store cleaned and transformed data tables ready for reuse.

Which tool do you use to create dataflow entities in Power BI?

A Power Query Online

B Power BI Desktop

C Excel

D SQL Server Management Studio

Power Query Online is the tool inside Power BI service to create and manage dataflow entities.

Can multiple reports use the same dataflow entity?

A Only if reports are published on the same day

B No, each report needs its own data

C Only if reports are in the same workspace

D Yes, dataflow entities enable data reuse

Dataflow entities are designed to be reused by multiple reports.

What happens when you refresh a dataflow entity?

A User permissions are reset

B The stored data updates with fresh data

C The report visuals refresh automatically

D The dataflow entity is deleted

Refreshing a dataflow entity updates the stored data with the latest source data.

Which of these is NOT a benefit of using dataflow entities?

A Centralized data preparation

B Improved data reuse

C Automatic report design

D Independent data refresh

Dataflow entities do not design reports automatically; they focus on data preparation.

Explain what a dataflow entity is and how it supports data reuse in Power BI.

Think about how one clean data table can serve many reports.

Describe the process and tools used to create and refresh dataflow entities.

Focus on the online tool inside Power BI service.