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CIPS Exam L6M7 Topic 2 Question 6 Discussion

Actual exam question for CIPS's L6M7 exam
Question #: 6
Topic #: 2
[All L6M7 Questions]

Identifying patterns in data using data from more than one source is commonly known as...?

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Suggested Answer: A

Collaborative filtering is a technique used in recommendation systems where multiple data sources (e.g., previous purchases, browsing habits, and ratings from other users) are combined to predict user preferences.


by Macy at Feb 06, 2025, 07:49 AM

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Margart
6 months ago
I hope the instructor doesn't try to trick us with some obscure 'black box' nonsense. Just give me the good old-fashioned data mining option, please!
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Deane
6 months ago
Yeah, collaborative filtering sounds too complicated.
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Juliana
6 months ago
I agree, data mining is the way to go.
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Marnie
6 months ago
C) Black box problem solving? What kind of made-up answer is that? Clearly, the correct option is B, data mining.
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Leandro
6 months ago
D) Data analysis? Nah, that's too broad. This is definitely about finding connections between datasets, so I'm going with B.
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Reuben
6 months ago
Hmm, I'm not sure. Could it be A) Collaborative filtering? That seems like it could involve combining data from different sources.
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Dorethea
6 months ago
I believe it's A) Collaborative filtering. It makes sense to combine data from different sources to identify patterns.
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Lavonda
6 months ago
I'm not sure, but I think it could be D) Data analysis. That also involves looking at data from various sources to draw conclusions.
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Berry
6 months ago
I think it might actually be B) Data mining. That also involves analyzing data from different sources to find patterns.
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Cruz
6 months ago
Yes, you're right! Collaborative filtering involves using data from multiple sources to identify patterns.
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Dorthy
7 months ago
I'm not sure, but I think A) Collaborative filtering could also be a possible answer.
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Tanja
7 months ago
I agree with Matthew, data mining involves identifying patterns in data from multiple sources.
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Yuette
7 months ago
I think the answer is B) Data mining. It seems like the most logical choice for identifying patterns across multiple data sources.
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Vincenza
6 months ago
I think collaborative filtering could also be a good option for identifying patterns across different data sources.
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Magnolia
7 months ago
I agree, B) Data mining is the correct answer for identifying patterns in data from multiple sources.
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Matthew
7 months ago
I think the answer is B) Data mining.
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