CIPS L6M7 Exam - 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...?

ACollaborative filtering

BData mining

CBlack box problem solving

DData analysis

Show Suggested Answer

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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Francine

6 months ago

Just to clarify, it involves multiple data sources.

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Tanesha

6 months ago

Wait, are we sure about that? Sounds too simple.

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Lavonna

6 months ago

Nope, it's data analysis for sure.

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Reyes

7 months ago

I thought it was collaborative filtering?

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Vanna

7 months ago

It's definitely data mining!

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Latrice

7 months ago

The black box problem solving doesn't sound right for this question. I think it's either A or B, but I can't recall the exact definitions.

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Rueben

7 months ago

I feel like data analysis is a broader term, but it could fit. I wish I had practiced more with these specific terms.

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Dominic

7 months ago

I remember something about collaborative filtering being used in recommendations, but I'm not confident if that's the right answer here.

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Chauncey

8 months ago

I think this might be related to data mining, but I'm not entirely sure. We covered a lot of terms in class.

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Hortencia

8 months ago

Ah, I think I've got this one. Identifying patterns across data sources is what we call data mining. That's gotta be the right answer here.

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Marya

8 months ago

Okay, let me break this down. Identifying patterns using multiple data sources - that sounds like it could be data analysis or collaborative filtering. I'll have to weigh the options carefully.

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Ona

8 months ago

Hmm, I'm not totally sure about this one. I know data mining is a common way to identify patterns, but I'm not sure if that's the exact term they're looking for here.

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Mary

8 months ago

This looks like a question about data analysis techniques. I'll need to think carefully about the differences between the options to identify the best one.

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Margart

1 year 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

1 year ago

Yeah, collaborative filtering sounds too complicated.

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Juliana

1 year ago

I agree, data mining is the way to go.

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Marnie

1 year 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

1 year 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

1 year 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

1 year 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

1 year 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

1 year 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

1 year ago

Yes, you're right! Collaborative filtering involves using data from multiple sources to identify patterns.

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Dorthy

1 year ago

I'm not sure, but I think A) Collaborative filtering could also be a possible answer.

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Tanja

1 year ago

I agree with Matthew, data mining involves identifying patterns in data from multiple sources.

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Yuette

1 year 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

1 year ago

I think collaborative filtering could also be a good option for identifying patterns across different data sources.

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Magnolia

1 year ago

I agree, B) Data mining is the correct answer for identifying patterns in data from multiple sources.

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Matthew

1 year ago

I think the answer is B) Data mining.

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