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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?

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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
6 months ago
C seems more like classification, not clustering.
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Eulah
6 months ago
I think A is the best choice, totally agree!
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Iola
6 months ago
Wait, can you really cluster fish by fins? Sounds odd.
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Walker
7 months ago
B is a solid example too, love that one!
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Jose
7 months ago
Definitely A, makes sense for shopper tendencies!
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Salina
7 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
7 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
7 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
8 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
8 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
8 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
8 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
8 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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