Microsoft DP-201 Designing an Azure Data Solution 03 31Oct2024 - Practice Quiz

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Question 1 of 30

A retail company is looking to enhance its data analytics capabilities by integrating Azure Data Lake Storage with Power BI. They want to create a dashboard that visualizes sales data, which is stored in a hierarchical structure within the Data Lake. The sales data includes various dimensions such as product categories, regions, and time periods. To ensure optimal performance and user experience, the company needs to decide on the best approach to load and transform this data into Power BI. Which method should they choose to efficiently handle the hierarchical data structure and enable dynamic reporting in Power BI?

Use Azure Data Factory to orchestrate data movement and transformation, creating a flattened dataset in Azure SQL Database for Power BI consumption.

Directly connect Power BI to Azure Data Lake Storage and use its built-in data transformation capabilities to handle the hierarchical structure.

Export the data from Azure Data Lake Storage to Excel, then import it into Power BI for visualization.

Utilize Azure Synapse Analytics to create a dedicated SQL pool that aggregates the hierarchical data before connecting to Power BI.

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