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Data Manipulation →easyMultiple Choice

Alteryx-Core Data Manipulation Practice Question

Which tool effectively removes all rows that contain a null value in a specific column?

⚠ Common exam trap

Candidates often rely solely on the Data Cleansing tool and miss that a simple Filter tool expression provides granular, explicit control over specific null removal conditions.

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

✓

Filter

The Filter tool is the most common way to remove nulls by setting a condition like 'Field Is Not Null'. While the Data Cleansing tool also removes nulls automatically, the Filter tool provides explicit control over the criteria. Mastering null handling is critical because null values can break downstream math or join operations, leading to inaccurate results or workflow failures that significantly compromise data integrity during analysis.

Answer analysis

Option-by-option breakdown

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

  • ✓

    Filter

    Why this is correct

    The Filter tool allows users to define a custom condition to include only rows where the specified field is not null. This offers granular control, as you can choose exactly which columns to check for nulls before proceeding.

  • ✗

    Select

    Why it's wrong here

    The Select tool can change metadata but does not evaluate row content. It cannot remove rows based on null values, as its primary purpose is renaming, reordering, and casting field types rather than cleaning data content.

  • ✗

    Sort

    Why it's wrong here

    The Sort tool only reorders records. While nulls might appear at the top or bottom of a sorted list, the tool does not remove them from the dataset; it simply organizes them according to the specified sort order.

  • ✗

    Unique

    Why it's wrong here

    The Unique tool finds duplicates. It does not consider null values as a condition for removing records, meaning it will keep all rows containing nulls unless they are identical to another row in the dataset.

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JA

Written and reviewed by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

Last reviewed September 2026 · checked against the official Alteryx exam blueprint

This Alteryx-Core practice question is part of Courseiva's free Alteryx certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the Alteryx-Core exam.