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iSQI CT-AI Exam - Topic 10 Question 37 Discussion

Which of the following is a dataset issue that can be resolved using pre-processing?
D) Numbers stored as strings
A) Insufficient data
B) Invalid data
C) Wanted outliers

iSQI CT-AI Exam - Topic 10 Question 37 Discussion

Actual exam question for iSQI's CT-AI exam
Question #: 37
Topic #: 10
[All CT-AI Questions]

Which of the following is a dataset issue that can be resolved using pre-processing?

Show Suggested Answer Hide Answer
Suggested Answer: D

The syllabus describes that data pre-processing includes cleaning (e.g., fixing or removing invalid data) and transforming data (e.g., changing data types such as numbers stored as strings).

'Transformation: The format of the given data is changed... converting categorical data into numerical data, changing image formats...'

(Reference: ISTQB CT-AI Syllabus v1.0, Section 4.1.1, Page 34 of 99)


by Queen at May 03, 2026, 01:38 AM

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Jennifer
2 days ago
I think B) Invalid data is a big issue.
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Mozell
7 days ago
Not sure about C) Wanted outliers... that seems tricky!
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Brett
13 days ago
Agreed, B) Invalid data is super common.
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Melinda
18 days ago
Wait, can you really fix D) Numbers stored as strings?
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Mari
23 days ago
I think A) Insufficient data is a bigger issue.
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Lakeesha
28 days ago
Definitely B) Invalid data!
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Kelvin
1 month ago
I feel like insufficient data might not be a pre-processing issue, but I can't recall the exact details from my notes.
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Dorinda
3 months ago
I'm a bit confused about wanted outliers. Can we really resolve that with pre-processing?
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Xuan
3 months ago
I remember a practice question where we had to deal with numbers stored as strings. That one seems clear to me.
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Shawnee
3 months ago
I think invalid data is definitely something we can fix with pre-processing, but I'm not sure about the others.
upvoted 0 times
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