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DP-600 · Question #115

You have a Fabric tenant that contains a lakehouse named Lakehouse1. You plan to use Dataflow Gen2 to ingest and transform data from an Azure SQL Database into Lakehouse1. Which language should you us

The correct answer is B. M. When using Dataflow Gen2 to ingest and transform data from an Azure SQL Database into a Fabric Lakehouse, the M language should be used for the data transformations.

Submitted by kavita_s· Apr 18, 2026Prepare and serve data

Question

You have a Fabric tenant that contains a lakehouse named Lakehouse1. You plan to use Dataflow Gen2 to ingest and transform data from an Azure SQL Database into Lakehouse1. Which language should you use to transform the data in the dataflow?

Options

  • ADAX
  • BM
  • CSQL
  • DXML

How the community answered

(39 responses)
  • A
    3% (1)
  • B
    87% (34)
  • C
    8% (3)
  • D
    3% (1)

Why each option

When using Dataflow Gen2 to ingest and transform data from an Azure SQL Database into a Fabric Lakehouse, the M language should be used for the data transformations.

ADAX

DAX (Data Analysis Expressions) is used for data modeling and calculations within Power BI semantic models, not for data transformation in Dataflow Gen2.

BMCorrect

Dataflow Gen2 in Microsoft Fabric utilizes Power Query for data transformation capabilities. The underlying language for Power Query is the M language, which is specifically designed for querying and transforming data from various sources.

CSQL

SQL (Structured Query Language) is used for querying and manipulating relational databases like Azure SQL Database, but Dataflow Gen2's transformation engine uses M language, although it can execute SQL for source queries.

DXML

XML (Extensible Markup Language) is a markup language for encoding documents and data, and it is not used for data transformation in Dataflow Gen2.

Concept tested: Dataflow Gen2 transformation language

Source: https://learn.microsoft.com/en-us/fabric/data-factory/dataflows-gen2-overview

Topics

#Fabric Dataflow Gen2#M language#Data transformation#Power Query

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