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Answer: Open Power BI Desktop, create a new report, and add data sources such as Excel files or SQL databases. Ensure to use query folding and optimize data models for performance.
Option A is the correct approach for creating a new Power BI Desktop project under the given scenario. Starting with Power BI Desktop allows for the direct addition and transformation of data sources, which is crucial for ensuring data accuracy. Utilizing query folding and optimizing the data model are essential steps for enhancing report performance. Effective management of the project, including these steps, facilitates better collaboration among team members, ensures maintainability, and supports efficient deployment of updates. Options B, C, and D either overlook critical steps like data model optimization or misuse tools for purposes they are not designed for, leading to potential issues in data accuracy, performance, and collaboration.
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As a Microsoft Fabric Analytics Engineer Associate, you are tasked with creating a new Power BI Desktop project (.pbix) for a retail company that wants to analyze their sales data across multiple regions. The company emphasizes the importance of data accuracy, report performance, and the ability to share insights across teams. Considering these requirements, which of the following steps would you take to create and manage the Power BI Desktop project effectively? (Choose one option.)
A
Open Power BI Desktop, create a new report, and add data sources such as Excel files or SQL databases. Ensure to use query folding and optimize data models for performance.
B
Create a new folder on your machine, copy the existing Power BI Desktop project files from a similar project, and modify the copied files to fit the new requirements without reviewing the data model.
C
Use Power BI Service to create a new workspace, import data sources directly without transformation, and create a new report without considering data model optimization.
D
Use Azure Data Factory to create a new data pipeline, import data sources, and generate a new Power BI report without using Power BI Desktop for any transformations or optimizations.