IAPP CIPT Exam - Topic 7 Question 49 Discussion

Actual exam question for IAPP's CIPT exam

Question #: 49
Topic #: 7

[All CIPT Questions]

A clinical research organization is processing highly sensitive personal data, including numerical attributes, from medical trial results. The organization needs to manipulate the data without revealing the contents to data users. This can be achieved by utilizing?

Ak-anonymity.

BMicrodata sets.

CPolymorphic encryption.

DHomomorphic encryption.

Show Suggested Answer

Suggested Answer: D

by An at May 07, 2022, 01:17 PM

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Golda

4 months ago

Microdata sets can be useful too, but not as secure as homomorphic.

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Noble

5 months ago

k-anonymity is another option, but it has its limits.

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Rashad

5 months ago

Wait, can homomorphic encryption really handle all that data efficiently?

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Shonda

5 months ago

Totally agree, it keeps data secure while allowing computations.

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Leota

5 months ago

Homomorphic encryption is the way to go for this!

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Walton

5 months ago

Microdata sets seem less secure for this scenario; I believe they expose too much information even if anonymized.

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Leoma

5 months ago

I practiced a similar question about data privacy methods, and I feel like polymorphic encryption was mentioned, but I can't recall its specifics.

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Nathalie

5 months ago

I think homomorphic encryption might be the right choice since it allows computations on encrypted data without revealing it.

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Nickolas

5 months ago

I remember studying k-anonymity, but I'm not sure if it fully protects sensitive data like this.

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Davida

5 months ago

Hmm, I'm a little unsure about this one. I know continuous testing is important for continuous delivery, but I'm not sure if the options fully capture how they're connected. I'll have to think this through carefully.

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Goldie

5 months ago

This looks like a tricky one. I'll need to carefully read through the question and options to figure out the right principles.

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Ammie

5 months ago

I'm a bit confused by this question. I'm not sure if mark-up and margin are the same thing or if they provide different information about the supplier's profitability.

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Alaine

10 months ago

Polymorphic encryption? Sounds like something straight out of a sci-fi movie. Homomorphic encryption is the real deal, the Schwarzenegger of data protection.

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Jeannine

10 months ago

Homomorphic encryption, the solution that's more secure than a vault filled with titanium locks. I'm feeling confident about this one!

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Tashia

9 months ago

C) Polymorphic encryption.

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Carma

9 months ago

D) Homomorphic encryption.

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Truman

9 months ago

A) k-anonymity.

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Emmett

10 months ago

Microdata sets? Really? That's like trying to hide a elephant in a shoebox. Homomorphic encryption is the way to go, no doubt about it.

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Xuan

9 months ago

Microdata sets may not be the most secure option, but they can still have their uses.

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Ahmad

10 months ago

I agree, k-anonymity can also be useful in certain situations.

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Thora

10 months ago

Homomorphic encryption is definitely the best option for protecting sensitive data.

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Thurman

11 months ago

I was torn between k-anonymity and homomorphic encryption, but after reading the question again, homomorphic encryption seems like the clear winner. Time to brush up on those encryption techniques!

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Jamika

9 months ago

It's always good to brush up on encryption techniques to ensure data security.

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Veronika

9 months ago

I was considering k-anonymity, but homomorphic encryption seems more suitable for this scenario.

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Estrella

9 months ago

I agree, it allows for data manipulation without revealing the contents to users.

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Selene

9 months ago

That's right, homomorphic encryption is the way to go for processing sensitive data securely.

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Denny

9 months ago

I think homomorphic encryption is the way to go for protecting sensitive data.

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Stevie

9 months ago

Homomorphic encryption allows data manipulation without revealing the contents.

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Virgina

9 months ago

Homomorphic encryption definitely seems like the best choice for this scenario.

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Janna

9 months ago

D) Homomorphic encryption.

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Penney

9 months ago

C) Polymorphic encryption.

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Cassi

9 months ago

That's true, k-anonymity is more about anonymizing data rather than manipulating it.

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Johanna

9 months ago

I agree, it allows for computations to be done on encrypted data without revealing the contents.

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Stevie

10 months ago

B) Microdata sets.

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Earlean

10 months ago

A) k-anonymity.

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France

10 months ago

I think homomorphic encryption is the way to go for protecting sensitive data.

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Rosann

11 months ago

Homomorphic encryption, hands down! I can't imagine a better way to manipulate sensitive data without exposing it. This is exactly what I need to know for the exam.

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