CIMA Exam CIMAPRA19-E03-1 Topic 5 Question 68 Discussion

Actual exam question for CIMA's CIMAPRA19-E03-1 exam

Question #: 68
Topic #: 5

[All CIMAPRA19-E03-1 Questions]

DataminingisanimportantpartofanOrganization'sknowledgediscoveryprocess.

Effectivedataminingprovidesinsightandcanhelpunlockpreviouslyhiddenopportunities.

WhichofthefollowingaredisadvantagesofDataMining?

Select ALL that apply.

APrivacy issues

BSecurity issues

CEthical issues

DFinancial crime issues

EManufacturing issues

Show Suggested Answer

Suggested Answer: A, C

by Shawnda at Apr 19, 2023, 08:56 PM

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Rodney

1 months ago

I'm going to go with A, B, and C on this one. Those seem like the most relevant disadvantages of data mining that organizations need to be aware of. Financial crime and manufacturing issues? I'm not so sure those are directly related to the data mining process.

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Roxane

2 days ago

C) Ethical issues

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Royal

4 days ago

B) Security issues

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Kimberlie

17 days ago

A) Privacy issues

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Latricia

2 months ago

I think the main disadvantages are the privacy, security, and ethical concerns. Those are the big ones that organizations need to address when implementing data mining strategies. Financial crime is also a risk, but not as directly tied to the data mining process itself.

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Lawanda

4 days ago

C) Ethical issues

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Delila

7 days ago

B) Security issues

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Aliza

8 days ago

A) Privacy issues

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Paulina

21 days ago

C) Ethical issues

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Jani

1 months ago

B) Security issues

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Tammi

1 months ago

A) Privacy issues

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Benedict

2 months ago

Wow, data mining is a treasure trove of potential problems! I'm just glad I don't have to worry about any manufacturing issues. That's the least of my worries when it comes to this topic.

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Glenn

26 days ago

C) Ethical issues

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Rene

27 days ago

B) Security issues

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Carman

1 months ago

A) Privacy issues

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Adolph

2 months ago

Privacy, security, and ethical issues are definitely drawbacks of data mining that need to be carefully considered. Financial crime is another concern, but manufacturing issues don't seem directly related to the data mining process itself.

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