Designing and Implementing Enterprise-Scale Analytics Using Microsoft Azure and Power BI — Question 37

You have a deployment pipeline for a Power BI workspace. The workspace contains two datasets that use import storage mode.
A database administrator reports a drastic increase in the number of queries sent from the Power BI service to an Azure SQL database since the creation of the deployment pipeline.
An investigation into the issue identifies the following:
One of the datasets is larger than 1 GB and has a fact table that contains more than 500 million rows.
When publishing dataset changes to development, test, or production pipelines, a refresh is triggered against the entire dataset.
You need to recommend a solution to reduce the size of the queries sent to the database when the dataset changes are published to development, test, or production.
What should you recommend?

Answer options

• A. Turn off auto refresh when publishing the dataset changes to the Power BI service.
• B. In the dataset, change the fact table from an import table to a hybrid table.
• C. Enable the large dataset storage format for workspace.
• D. Create a dataset parameter to reduce the fact table row count in the development and test pipelines.

Correct answer: B

Explanation

The correct answer is B because changing the fact table to a hybrid table allows for more efficient data querying and management, especially with large datasets. Options A and C do not address the underlying issue of query size and frequency, while option D may not significantly reduce the query load as it only limits the rows in development and test, not production.