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CIPS L6M7 Exam - Topic 2 Question 26 Discussion

Which of the following statements about Big Data are true? Select ALL that apply.
A) Big Data must be large enough to provide reliable conclusions and C) Big Data is a new concept, as older computers lacked storage capacity
B) All datasets qualify as Big Data if they provide useful information
D) Big Data is solely the IT department's responsibility
E) Big Data can only be analyzed by humans

CIPS L6M7 Exam - Topic 2 Question 26 Discussion

Actual exam question for CIPS's L6M7 exam
Question #: 26
Topic #: 2
[All L6M7 Questions]

Which of the following statements about Big Data are true? Select ALL that apply.

Show Suggested Answer Hide Answer
Suggested Answer: A, C

Big Data requires large volumes and computing power. Not all datasets qualify as Big Data. It is used across various departments, and computers analyze it, not just humans.


by Paz at May 27, 2026, 06:55 AM

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Tawna
4 days ago
D is a big no. Everyone should be involved in Big Data.
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Tamekia
9 days ago
C is also wrong. Big Data isn't just about storage.
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Onita
14 days ago
Right, B is misleading. Useful info doesn't equal Big Data.
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Gerald
19 days ago
Agreed, A is essential. But B seems off. Not all datasets are Big Data.
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Rima
25 days ago
I think A is definitely true. Size matters for reliability.
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Jospeh
30 days ago
E) I thought machines could analyze data too?
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Rodrigo
1 month ago
D) No way, it's a team effort, not just IT!
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Pok
1 month ago
C) Wait, is Big Data really that new?
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Jeannine
2 months ago
B) Not all datasets are Big Data, that's misleading.
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Chanel
2 months ago
A) is definitely true, size matters!
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Malcom
2 months ago
D sounds wrong; I recall that Big Data involves multiple departments, not just IT.
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Lindsay
2 months ago
C seems a bit off to me. I feel like Big Data has been around for a while, but maybe it just wasn't called that before?
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Rosendo
2 months ago
I'm not so sure about B; I remember a practice question that mentioned not all datasets qualify as Big Data, even if they're useful.
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Mertie
2 months ago
I think A is definitely true because if the data isn't large enough, the conclusions might not be reliable.
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