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CIMAPRA19-E03-1 Exam - Topic 8 Question 114 Discussion

'Big data' refers to datasets whose size is outside the ability of typical database software tools to capture, store, manage and analyze.Which of the following statements is NOT a valid statement with regard to 'big data'?
A) 'Big data' will require the right infrastructure, incentives and safeguards to address public concerns.
B) As technology advances overtime, the size of datasets that qualify as 'big data' will also increase.
C) The definition of 'big data' can vary by sector, depending on the software tools and dataset sizes common to a particular industry.
D) Sufficient analytical and managerial talent is available to exploit the opportunities associated with 'big data'.

CIMAPRA19-E03-1 Exam - Topic 8 Question 114 Discussion

Actual exam question for CIMA's CIMAPRA19-E03-1 exam
Question #: 114
Topic #: 8
[All CIMAPRA19-E03-1 Questions]

'Big data' refers to datasets whose size is outside the ability of typical database software tools to capture, store, manage and analyze.

Which of the following statements is NOT a valid statement with regard to 'big data'?

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Suggested Answer: A

by Joana at Jul 30, 2025, 03:42 PM

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Micheal
7 months ago
Yeah, tech is evolving, so 'big data' will too!
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Chaya
7 months ago
The definition does change by industry, that's for sure.
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Lavera
7 months ago
Wait, is there really enough talent out there for this?
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Mendy
8 months ago
I agree, especially with all the privacy concerns.
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Isabella
8 months ago
'Big data' definitely needs proper infrastructure!
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Marti
8 months ago
I recall a practice question about how definitions can vary by sector, so I think option C is probably valid as well.
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Marsha
8 months ago
I think option B makes sense because as technology progresses, the definition of 'big data' will evolve too.
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Tabetha
9 months ago
I’m not entirely sure, but I feel like option D might be the one that doesn't hold true. There seems to be a talent gap in the industry.
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Terrilyn
9 months ago
I remember discussing how 'big data' definitely needs the right infrastructure, so I think option A is valid.
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Hector
9 months ago
I feel confident about this one. The definition of big data is pretty clear, and I think I can spot the statement that doesn't align with that.
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Kathrine
9 months ago
Okay, I've got a strategy here. I'll go through each statement and think about whether it accurately describes big data or not. The one that doesn't fit will be the answer.
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Tammi
9 months ago
Hmm, I'm a bit unsure about this one. The definitions and characteristics of big data can be tricky. I'll need to carefully consider each option.
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Valentin
9 months ago
This question seems pretty straightforward. I think the key is to identify which statement is not a valid one about big data.
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Kate
10 months ago
I think option B is the one that doesn't make sense.
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Queenie
10 months ago
Option C is the way to go. The definition of 'big data' is highly context-dependent, just like my high school girlfriend.
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Carole
10 months ago
I agree with Mayra, option D seems off.
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Lorrie
10 months ago
Hmm, I'm torn between A and D. Safeguards are crucial, but talent is in short supply. Guess I'll have to flip a coin on this one.
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Ma
6 months ago
Maybe just go with your gut! Safeguards or talent?
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Lorean
7 months ago
But D seems more accurate. There’s a real talent gap.
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Stanford
7 months ago
I think A is definitely important. We need safeguards.
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Thaddeus
8 months ago
I agree with both points, but A feels more critical right now.
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Irma
11 months ago
I'm going with B. As technology evolves, the definition of 'big data' is always expanding. It's a moving target, not a fixed one.
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Moon
10 months ago
C) The definition of 'big data' can vary by sector, depending on the software tools and dataset sizes common to a particular industry.
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Burma
10 months ago
A) 'Big data' will require the right infrastructure, incentives and safeguards to address public concerns.
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Mayra
11 months ago
I disagree, I believe option D is the incorrect statement.
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Jonelle
11 months ago
I think option A is not a valid statement.
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Cornell
12 months ago
Option D is clearly the right answer. There's no way we have enough talent to fully exploit big data, especially with the rapid growth in data volumes.
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Thea
10 months ago
User 3: It's a valid concern. We need to invest in developing more analytical and managerial skills.
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Kanisha
10 months ago
User 2: I think so too. We definitely need more talent to fully utilize big data.
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Gianna
10 months ago
User 1: I agree, option D seems to be the most accurate.
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