IAPP CIPT Exam - Topic 7 Question 49 Discussion

Actual exam question for IAPP's CIPT exam

Question #: 49
Topic #: 7

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

6 months ago

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

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Noble

6 months ago

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

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Rashad

6 months ago

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

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Shonda

7 months ago

Totally agree, it keeps data secure while allowing computations.

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Leota

7 months ago

Homomorphic encryption is the way to go for this!

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Walton

7 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

7 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

7 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

7 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

7 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

7 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

7 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

12 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

12 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

11 months ago

C) Polymorphic encryption.

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Carma

11 months ago

D) Homomorphic encryption.

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Truman

11 months ago

A) k-anonymity.

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Emmett

12 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

11 months ago

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

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Ahmad

11 months ago

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

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Thora

12 months ago

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

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Thurman

1 year 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

10 months ago

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

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Veronika

11 months ago

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

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Estrella

11 months ago

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

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Selene

11 months ago

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

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Denny

11 months ago

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

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Stevie

11 months ago

Homomorphic encryption allows data manipulation without revealing the contents.

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Virgina

11 months ago

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

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Janna

11 months ago

D) Homomorphic encryption.

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Penney

11 months ago

C) Polymorphic encryption.

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Cassi

11 months ago

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

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Johanna

11 months ago

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

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Stevie

11 months ago

B) Microdata sets.

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Earlean

12 months ago

A) k-anonymity.

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France

12 months ago

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

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Rosann

1 year 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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Vicki

1 year ago

I'm not sure, but I think k-anonymity could also be a possible solution to protect sensitive data.

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Tandra

1 year ago

I agree with Willodean, homomorphic encryption allows data manipulation without revealing the contents.

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Willodean

1 year ago

I think the answer is D) Homomorphic encryption.

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