Alteryx-Core Data Transformation Practice Question
Which TWO settings in the 'Text to Columns' tool allow you to define how data is split?
⚠ Common exam trap
Candidates often forget that parsing text requires specifying both the splitting character and the desired layout structure of the resulting parsed data.
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
✓
Delimiter
The Text to Columns tool requires a 'Delimiter' to identify where to split the text and an 'Output' method to decide whether to create new columns or new rows. These two configurations are the fundamental controls that determine the shape of your output data. Understanding how these interplay is essential for converting flat files or messy strings into structured, analytical datasets.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Delimiter
Why this is correct
The delimiter is the character that separates the data, such as a comma, pipe, or tab. Defining this is the first step in the tool, as it tells Alteryx exactly where to cut the string. Without a defined delimiter, the tool cannot identify the data segments.
- ✗
Number of columns
Why it's wrong here
While you can specify the number of columns if splitting to columns, this is a result of the split rather than the defining setting. The primary configuration settings that drive the logic are the delimiter and the output method (rows vs columns), rather than the count itself.
- ✓
Output method (Columns or Rows)
Why this is correct
The output method determines the orientation of the resulting data. Choosing 'Split to Columns' creates a wide structure, while 'Split to Rows' normalizes data into a long structure. This setting is just as critical as the delimiter for ensuring the data is in the correct format for analysis.
- ✗
Data type of the resulting fields
Why it's wrong here
The Text to Columns tool does not allow you to define the data type of the resulting fields directly. It defaults to string types, and you must use a subsequent Select or Formula tool to cast those fields to numeric or date types after the split is performed.
- ✗
Encoding format of the input file
Why it's wrong here
Encoding is handled by the Input Data tool when reading the file, not by the Text to Columns tool. The Text to Columns tool operates on data already loaded into the workflow, making this setting irrelevant to the configuration of the splitting logic itself.
About these practice questions
Courseiva writes every Alteryx-Core question from scratch — 142 in total, each with an explanation and a wrong-answer breakdown. None are copied from real exams or dumps. Learn why practice questions differ from exam dumps →
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.