IAPP CIPM Exam - Topic 9 Question 45 Discussion

Actual exam question for IAPP's CIPM exam

Question #: 45
Topic #: 9

[All CIPM Questions]

What are you doing if you succumb to "overgeneralization" when analyzing data from metrics?

AUsing data that is too broad to capture specific meanings.

BPossessing too many types of data to perform a valid analysis.

CUsing limited data in an attempt to support broad conclusions.

DTrying to use several measurements to gauge one aspect of a program.

Show Suggested Answer

Suggested Answer: D

The first step to mitigate further risks when a systems audit uncovers a shared drive folder containing sensitive employee data with no access controls is to restrict access to the folder. This can be done by implementing appropriate access controls, such as user authentication, role-based access, and permissions, to ensure that only authorized individuals can view and access the sensitive data.

https://www.sans.org/cyber-security-summit/archives/file/summit-archive-1492158151.pdf

https://www.itgovernance.co.uk/blog/5-reasons-why-employees-dont-report-data-breaches/

https://www.ncsc.gov.uk/guidance/report-cyber-incident

by Markus at Mar 31, 2023, 02:31 PM

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Fredric

4 months ago

I don't know, this feels a bit oversimplified.

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Tammara

4 months ago

B is also a possibility, but C really nails it.

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Salena

5 months ago

Wait, are we sure it's not A? Seems too broad too!

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Laurena

5 months ago

Totally agree, C is spot on!

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Miesha

5 months ago

Overgeneralization means using limited data to support broad conclusions.

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Kizzy

5 months ago

I’m leaning towards A because it makes sense that broad data wouldn’t capture specific meanings, but I could be wrong.

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Anglea

5 months ago

I feel like overgeneralization could also relate to having too many types of data, but that seems more like B. I’m confused!

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Terina

5 months ago

I remember practicing a question like this, and I think overgeneralization is about using limited data to make broad conclusions, which sounds like C.

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Alease

5 months ago

I think overgeneralization means using too broad data, so maybe it's A? But I'm not entirely sure.

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Marylou

5 months ago

Okay, let me see here. Present value is about the current worth of a future amount of money or stream of cash flows, discounted at an appropriate interest rate. So I think the best answer is C, that makes the most sense to me.

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Salley

6 months ago

Okay, I think I've got this. The key is understanding that the neutral line needs to be grounded at multiple points, not just the power transformer. I'll go with True on this one.

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Roxane

6 months ago

I remember discussing Optimal Gateway Routing in class, but I don't think it addresses the root issue here. Maybe it's more about location instead of gateway optimization?

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Malcolm

10 months ago

I'm surprised the answer isn't 'E) All of the above'. That's usually the case with these tricky exam questions!

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Willard

9 months ago

D) Trying to use several measurements to gauge one aspect of a program.

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Raymon

9 months ago

C) Using limited data in an attempt to support broad conclusions.

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Merilyn

9 months ago

A) Using data that is too broad to capture specific meanings.

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Ellen

10 months ago

Hah, I almost picked B. 'Possessing too many types of data' - that's a new one! Gotta watch out for that data overload.

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Tawna

9 months ago

Yeah, it's important to strike a balance and not go to extremes with data analysis.

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Eliz

10 months ago

C) Using limited data in an attempt to support broad conclusions.

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Dominic

10 months ago

A) Using data that is too broad to capture specific meanings.

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Lemuel

10 months ago

I was gonna go with D, but now I'm not so sure. Overgeneralization can definitely happen when you try to measure too many things at once.

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Jeniffer

9 months ago

I agree, it's important to have a balance and not go to extremes.

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Karl

9 months ago

C) Using limited data in an attempt to support broad conclusions.

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Latosha

10 months ago

A) Using data that is too broad to capture specific meanings.

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Shawnda

11 months ago

Hmm, I was leaning towards A, but C makes a lot of sense too. Gotta be careful not to draw big conclusions from a small data set.

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Blossom

9 months ago

User 4: It's definitely crucial to be cautious when drawing conclusions from a small data set. Both A and C highlight the risks of overgeneralization.

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