BenchMark Quizzes by MDFT Pro

Choose The Function To Cleanse And Transform Data In Power BI Desktop

You work as a business intelligence analyst for MDFT Pro, a well-known training agency that provides Microsoft certification courses. The company collects student enrollment data from multiple sources including online registration systems, partner institutions, and legacy databases. This raw data often contains inconsistencies, missing values, and formatting issues that need to be resolved before creating reports. Mark, the analytics director, has asked you to prepare a comprehensive student performance report using Power BI Desktop.

Claire, the reporting team lead, needs to understand which Power BI Desktop function will allow her to clean up the raw enrollment data by removing duplicate entries, standardizing date formats, filling in missing student information, and transforming the data structure to make it suitable for analysis and visualization.

Which function should you use to cleanse and transform data in Power BI Desktop?

Choose the correct answer from the options below.

Explanations for each answer:

Publish to Power BI Service is incorrect. Publishing to Power BI Service is used to share completed reports with other users in your organization. It doesn't provide any data transformation or cleansing capabilities - it simply uploads your finished report to the cloud service.
Connect to data is incorrect. Connecting to data is the first step in the Power BI workflow that establishes a connection to your data sources. While necessary for accessing data, it doesn't provide the tools needed to cleanse and transform that data.
Report view is incorrect. Report view is where you create visualizations and design the layout of your report using data that has already been cleaned and modeled. It's focused on presentation and visualization, not data transformation.
Power Query Editor is correct. Power Query Editor is the dedicated data transformation tool in Power BI Desktop that provides comprehensive data cleansing and shaping capabilities. It offers a wide range of functions to handle data quality issues, remove duplicates, merge tables, split columns, change data types, and perform complex transformations before loading data into your reports.

Learn more about Power Query Editor:

Power Query Editor

Exam Preparation Quiz

Choose The Function To Cleanse And Transform Data In Power BI Desktop