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Which of the following is a dataset issue that can be resolved using pre-processing?
Suggested Answer: D
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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)
26 comments · newest first
RE
Reuben
4 days ago
I’m leaning towards B) Invalid data.
TE
Tegan
9 days ago
Same here! Pre-processing is key.
LA
Lacresha
14 days ago
I feel confident about this question.
RE
Reuben
19 days ago
Right, but we can’t fix that easily.
TE
Tegan
24 days ago
A) Insufficient data is tough too, but pre-processing helps.
LA
Lacresha
30 days ago
True, it affects calculations.
RE
Reuben
1 month ago
D) Numbers stored as strings is also a problem.
TE
Tegan
1 month ago
Agreed! Invalid data can skew results.
LA
Lacresha
2 months ago
I think B) Invalid data is a big issue.
RE
Rebbecca
2 months ago
I’d focus on D) after fixing B).
NO
Novella
2 months ago
Yeah, invalid data can lead to wrong conclusions.
FL
Floyd
2 months ago
I feel like B) is the most critical to address first.
JE
Jennifer
2 months ago
True! Converting them is straightforward.
RE
Rebbecca
2 months ago
But D) Numbers stored as strings can be fixed with pre-processing.
NO
Novella
3 months ago
A) Insufficient data is tough too. Can't fix that easily.
FL
Floyd
3 months ago
Agreed! Invalid data can skew results.
JE
Jennifer
3 months ago
I think B) Invalid data is a big issue.
MO
Mozell
3 months ago
Not sure about C) Wanted outliers... that seems tricky!
BR
Brett
3 months ago
Agreed, B) Invalid data is super common.
ME
Melinda
3 months ago
Wait, can you really fix D) Numbers stored as strings?
MA
Mari
4 months ago
I think A) Insufficient data is a bigger issue.
LA
Lakeesha
4 months ago
Definitely B) Invalid data!
KE
Kelvin
4 months ago
I feel like insufficient data might not be a pre-processing issue, but I can't recall the exact details from my notes.
DO
Dorinda
5 months ago
I'm a bit confused about wanted outliers. Can we really resolve that with pre-processing?
XU
Xuan
6 months ago
I remember a practice question where we had to deal with numbers stored as strings. That one seems clear to me.
SH
Shawnee
6 months ago
I think invalid data is definitely something we can fix with pre-processing, but I'm not sure about the others.