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A business analyst using a shared folder mapped to S:\488957004\ receives an Excel file with more than 100 columns. Many of the columns are duplicates. Any current columns that should be used have the suffix '_c' appended to the column name. Which action should the business analyst take to load the Excel data?
Correct Answer: D
When loading data from an Excel file with more than 100 columns, where only columns with the suffix _c are relevant, the most efficient approach is to use the Data Manager. The Data Manager provides a preview of the table being loaded, allowing the business analyst to deselect columns that do not have the _c suffix. This is a quick and straightforward method that avoids manual editing of the Excel file and allows the analyst to focus on the necessary columns. Key Concepts: Data Manager Preview: The Data Manager allows you to inspect and modify which columns will be loaded into the data model. The preview panel makes it easy to deselect columns that are not needed. Efficient Data Loading: By using the Data Manager, the business analyst can avoid loading unnecessary columns, ensuring a cleaner and more manageable data model. Why the Other Options Are Less Suitable: A . Load all columns: This would load unnecessary columns, leading to a bloated data model with duplicates and irrelevant data. B . Utilize filter functionality: While filtering could work, deselecting fields directly in the preview is more efficient and straightforward. C . Edit the Excel file: Manually editing the Excel file is unnecessary and could lead to errors, especially when Qlik Sense provides tools to handle this within the platform. References for Qlik Sense Business Analyst: Data Manager for Field Selection: Qlik Sense recommends using the Data Manager to inspect and selectively load data fields, which is particularly useful when dealing with large datasets. Thus, D is the best solution because it allows for selective loading of relevant columns, making it the correct answer.
