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

11 months ago

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

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Noble

11 months ago

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

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Rashad

11 months ago

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

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Shonda

11 months ago

Totally agree, it keeps data secure while allowing computations.

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Leota

11 months ago

Homomorphic encryption is the way to go for this!

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Walton

11 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

11 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

11 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

11 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

12 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

12 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

12 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

1 year 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

1 year 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

1 year ago

C) Polymorphic encryption.

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Carma

1 year ago

D) Homomorphic encryption.

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Truman

1 year ago

A) k-anonymity.

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Emmett

1 year 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

1 year ago

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

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Ahmad

1 year ago

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

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Thora

1 year 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

1 year ago

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

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Veronika

1 year ago

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

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Estrella

1 year ago

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

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Selene

1 year ago

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

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Denny

1 year ago

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

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Stevie

1 year ago

Homomorphic encryption allows data manipulation without revealing the contents.

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Virgina

1 year ago

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

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Janna

1 year ago

D) Homomorphic encryption.

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Penney

1 year ago

C) Polymorphic encryption.

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Cassi

1 year ago

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

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Johanna

1 year ago

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

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Stevie

1 year ago

B) Microdata sets.

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Earlean

1 year ago

A) k-anonymity.

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France

1 year 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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