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iSQI CT-AI Exam - Topic 8 Question 21 Discussion

Which of the following is an example of a clustering problem that can be resolved by unsupervised learning?
A) Associating shoppers with their shopping tendencies
B) Grouping individual fish together based on their types of fins
C) Classifying muffin purchases based on the perceived attractiveness of their packaging
D) Estimating the expected purchase of cat food after a particularly successful ad campaign

iSQI CT-AI Exam - Topic 8 Question 21 Discussion

Actual exam question for iSQI's CT-AI exam
Question #: 21
Topic #: 8
[All CT-AI Questions]

Which of the following is an example of a clustering problem that can be resolved by unsupervised learning?

Show Suggested Answer Hide Answer
Suggested Answer: A

Clustering is a form of unsupervised learning, which groups data points based on similarities without predefined labels. According to ISTQB CT-AI Syllabus, clustering is used in scenarios where:

The objective is to find natural groupings in data.

The dataset does not have labeled outputs.

Patterns and structures need to be identified automatically.

Analyzing the answer choices:

A . Associating shoppers with their shopping tendencies Correct

Shoppers can be grouped based on purchasing behaviors (e.g., luxury shoppers vs. budget-conscious shoppers), which is a typical clustering application in market segmentation.

B . Grouping individual fish together based on their types of fins Incorrect

If the types of fins are labeled, it becomes a classification problem, which requires supervised learning.

C . Classifying muffin purchases based on packaging attractiveness Incorrect

Classification, not clustering, because attractiveness scores or labels must be predefined.

D . Estimating the expected purchase of cat food after an ad campaign Incorrect

This is a prediction task, best suited for regression models, which are part of supervised learning.

Thus, Option A is the best answer, as clustering is used to group shoppers based on tendencies without predefined labels.

Certified Tester AI Testing Study Guide Reference:

ISTQB CT-AI Syllabus v1.0, Section 3.1.2 (Unsupervised Learning - Clustering and Association)

ISTQB CT-AI Syllabus v1.0, Section 3.3 (Selecting a Form of ML - Clustering).


by Darell at Mar 09, 2025, 10:04 AM

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Carole
8 months ago
C seems more like classification, not clustering.
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Eulah
8 months ago
I think A is the best choice, totally agree!
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Iola
8 months ago
Wait, can you really cluster fish by fins? Sounds odd.
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Walker
8 months ago
B is a solid example too, love that one!
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Jose
8 months ago
Definitely A, makes sense for shopper tendencies!
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Salina
9 months ago
I feel like A could be a clustering problem, but it also sounds a bit like a supervised task. B seems clearer to me for clustering.
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Lorean
9 months ago
I practiced a question similar to this, and I remember that clustering is definitely not about classification. So, I think C and D are out.
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Tiffiny
9 months ago
I'm not entirely sure, but I remember something about unsupervised learning being used for patterns. A seems like it could fit too, but I lean towards B.
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Phil
9 months ago
I think clustering is about grouping similar items, so maybe B is the right choice since it talks about grouping fish by fins.
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Elke
9 months ago
I'm a bit confused - the cat food purchase estimation seems like a regression problem, not clustering. I'll have to review my notes on the different machine learning techniques.
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Nickie
9 months ago
I think the fish fin grouping is the best choice here. Unsupervised learning is all about finding patterns in data without labels, so that seems to match the question.
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Ernest
9 months ago
Hmm, I'm not sure about this one. The shopping tendencies and muffin packaging options seem more like classification problems to me. Let me think this through a bit more.
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Kristofer
9 months ago
This looks like a clustering problem, so I'll focus on the unsupervised learning options. Grouping fish by fin type seems like a good fit.
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Jamal
1 year ago
I'm voting for Option B, because who doesn't love a good fin-tastic clustering problem? It's like a fish version of 'Six Degrees of Kevin Bacon', but with more gills and less Hollywood.
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Alesia
1 year ago
I see your point, but I still think Option B is the most exciting choice for a clustering problem.
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Angelo
1 year ago
I think Option A could also be a good example of a clustering problem using unsupervised learning.
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Cathrine
1 year ago
I agree, Option B sounds like a fun and interesting clustering problem!
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Martina
1 year ago
I think D) Estimating cat food purchases after an ad campaign is also a valid clustering problem.
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Cassie
1 year ago
I see your point, but I think C) Classifying muffin purchases based on packaging attractiveness is a better example.
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Gregoria
1 year ago
Option D all the way! Estimating cat food purchases after a successful ad campaign? That's like predicting how many hairballs a cat will produce after a nap. Unsupervised learning at its finest!
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Erick
1 year ago
C) Classifying muffin purchases based on the perceived attractiveness of their packaging
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Tashia
1 year ago
B) Grouping individual fish together based on their types of fins
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Whitley
1 year ago
A) Associating shoppers with their shopping tendencies
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Colette
1 year ago
Hmm, this is a toughie. But I think Option C is the winner. Classifying muffins based on their packaging? That's like a beauty pageant for baked goods. Definitely an unsupervised learning problem.
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Effie
1 year ago
I'm gonna have to go with Option A on this one. Associating shoppers with their buying habits is a perfect example of an unsupervised learning task. It's like a digital version of people-watching, but with more math!
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Daniel
1 year ago
B) Grouping individual fish together based on their types of fins
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Lillian
1 year ago
That's a great choice! It's all about finding patterns in the data without any predefined labels.
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Ben
1 year ago
A) Associating shoppers with their shopping tendencies
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Joanna
1 year ago
I disagree, I believe it's B) Grouping individual fish together based on their types of fins.
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Amber
1 year ago
Option B seems like the obvious choice here. Grouping fish by their fin types is a classic clustering problem that can be solved with unsupervised learning. Easy peasy!
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Brock
1 year ago
Absolutely, grouping individual fish together based on their types of fins is a great example of a clustering problem for unsupervised learning.
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Angelo
1 year ago
I think option B stands out as the most clear-cut example of a clustering problem that can be solved with unsupervised learning.
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Lashaunda
1 year ago
It's definitely a classic example, grouping fish by their fin types is a perfect fit for unsupervised learning.
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Raymon
1 year ago
I agree, option B is the best example of a clustering problem for unsupervised learning.
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Gaston
1 year ago
I think the answer is A) Associating shoppers with their shopping tendencies.
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