Microsoft PL-300 Microsoft Power BI Data Analyst 07 31Oct2024 - Practice Quiz

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Question 1 of 30

A data analyst is tasked with importing a large dataset from an Excel file into Power BI. The dataset contains sales data for multiple regions, with columns for Region, Sales Amount, and Date. However, the analyst notices that the Sales Amount column contains some erroneous entries, such as text values and negative numbers, which could skew the analysis. To ensure accurate reporting, the analyst decides to clean the data before importing it into Power BI. Which of the following approaches would be the most effective way to handle these data quality issues in the Excel file before importing it?

Use Excel's built-in data validation features to restrict the Sales Amount column to only accept positive numerical values and remove any non-numeric entries.

Manually delete all rows with negative values and text entries from the Sales Amount column without any validation.

Import the data into Power BI and use DAX formulas to filter out negative values and text entries during the analysis phase.

Convert the Sales Amount column to a text format to avoid errors during the import process.

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