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Visualization and ReportinghardMultiple SelectObjective-mapped

DA0-002 Visualization and Reporting Practice Question

A sales analyst is building a report to analyze quarterly performance. Which THREE are appropriate uses of a formula language or a data transformation tool? (Select three.)

⚠ Common exam trap

Vendor-neutral exams often test the distinction between data transformation tools and data analysis functions, leading candidates to mistakenly think that analysis functions like iterative summations can perform data cleaning tasks, when in fact they are for analytical calculations within the data model.

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

Using a data transformation tool to remove duplicate rows from the data source

Data transformation tools are specifically designed for data cleaning and preparation tasks, such as removing duplicate rows from a data source before the data is loaded into the analysis model. This is a standard ETL operation that such tools handle efficiently using their deduplication features, which is not a function of a formula language.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Using an iterative summation function to sum a column without using iteration

    Why it's wrong here

    The statement is incorrect because SUMX inherently performs iteration, evaluating an expression for each row of a specified table before summing the results. Its primary purpose is to enable row-context calculations within an aggregation, such as calculating total sales by multiplying quantity and price per transaction. If the requirement was simply to sum an existing column directly, without needing row-by-row evaluation, the SUM function would be the appropriate choice, as it aggregates a column in its entirety.

  • Using a data transformation tool to remove duplicate rows from the data source

    Why this is correct

    Power Query is ideal for data cleaning and transformation.

  • Using a year-to-date calculation function to calculate year-to-date sales

    Why this is correct

    TOTALYTD is a time intelligence function for YTD calculations.

  • Using a function that modifies filter context to change the filter context in a measure

    Why this is correct

    CALCULATE is a core DAX function for modifying filters.

  • Using a lookup function to create a calculated column from a related table

    Why it's wrong here

    RELATED retrieves a value from a related table, but it's not typically used for measures. However, it can be used in calculated columns; but the question asks for appropriate uses in the context of a report; RELATED is less common for performance measures. Given three correct options, E is less essential than the others.

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