Designing and Implementing Enterprise-Scale Analytics Using Microsoft Azure and Power BI — Question 122

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. Enable the large dataset storage format for workspace.
• B. In the dataset, delete the fact table.
• C. Create a dataset parameter to reduce the fact table row count in the development and test pipelines.
• D. From Capacity settings in the Power BI Admin portal, reduce the Max Intermediate Row Set Count setting.

Correct answer: C

Explanation

The correct answer is C because creating a dataset parameter allows you to filter the number of rows in the fact table for development and test pipelines, thereby reducing the size of the queries sent to the database. Option A does not address the query size directly, option B would eliminate necessary data for analysis, and option D is unrelated to the issue of query size during dataset refreshes.