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DP-700 · Question #96

Your company has three newly created data engineering teams named Team1, Team2, and Team3 that plan to use Fabric. The teams have the following personas: - Team1 consists of members who currently…

Team1: Dataflow Gen2 dataflow Team2: Notebooks Team3: Data pipelines Available options for each team: Data pipelines, Notebooks, Dataflow Gen2 dataflow.

Design and implement data ingestion and transformation

Question

Your company has three newly created data engineering teams named Team1, Team2, and Team3 that plan to use Fabric. The teams have the following personas: - Team1 consists of members who currently use Microsoft Power BI. The team wants to transform data by using by a low-code approach. - Team2 consists of members that have a background in Python programming. The team wants to use PySpark code to transform data. - Team3 consists of members who currently use Azure Data Factory. The team wants to move data between source and sink environments by using the least amount of effort. You need to recommend tools for the teams based on their current personas. What should you recommend for each team? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.

Exhibit

DP-700 question #96 exhibit

Explanation

Team1: Dataflow Gen2 dataflow Team2: Notebooks Team3: Data pipelines

Available options for each team: Data pipelines, Notebooks, Dataflow Gen2 dataflow.

Topics

#Fabric Dataflows Gen2#Fabric Spark Notebooks#Fabric Data Pipelines#Data Ingestion and Transformation

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