Alteryx-Core Data Manipulation Practice Question
You need to change the data type of a column from 'String' to 'Integer' because it contains numeric identifiers. What happens if the column contains non-numeric values like 'A101'?
⚠ Common exam trap
Candidates often assume Alteryx will throw an error and stop the workflow when converting invalid alphanumeric text to numeric types, rather than silently converting those values to nulls.
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
✓
The values will be converted to Null.
Alteryx enforces data type integrity. When a conversion from string to a numeric type is attempted, any data that does not conform to a strictly numeric format will be converted to a null value. This behavior is a safeguard to prevent downstream mathematical errors. Understanding this allows you to pre-clean your data or use conditional logic to handle exceptions rather than letting data silently drop into null values.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
The conversion will fail and the workflow will stop with a fatal error.
Why it's wrong here
Alteryx does not stop the workflow for type conversion failures. It is designed to continue execution by assigning nulls to invalid data points. While this might affect analytical results, it does not trigger a fatal error, allowing the workflow to finish processing the remaining valid data rows.
- ✗
The values will be converted to 0.
Why it's wrong here
Alteryx does not default invalid string-to-numeric conversions to zero. Instead, it assigns a null value to any entry that cannot be parsed as a number. Using zero as a default would introduce artificial data, which could lead to incorrect statistical calculations like averages or sums in your analysis.
- ✓
The values will be converted to Null.
Why this is correct
When casting a string field to an integer, any character that is not a numeric digit will cause that specific record to become null. This is the standard behavior in the Select tool and the Auto Field tool when handling incompatible data types during type conversion operations.
- ✗
The invalid values will be ignored and remain as strings.
Why it's wrong here
The column as a whole must have a single data type. You cannot have a column that is an integer for some rows and a string for others. Once the conversion is triggered, it applies to the entire field, resulting in the non-numeric values being converted to null.
About these practice questions
One of 142 original Alteryx-Core practice questions on Courseiva, each with a full explanation and wrong-answer analysis — not exam dumps or protected exam content. 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.