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PECB GDPR Exam - Topic 1 Question 3 Discussion

Actual exam question for PECB's GDPR exam
Question #: 3
Topic #: 1
[All GDPR Questions]

When pseudonymization is used in a dataset, the data is divided into restricted access data and non-identifiable dat

a. This restricted access data includes gender, occupation, and age, whereas the non-identifiable data includes only nationality. Is this correct?

Show Suggested Answer Hide Answer
Suggested Answer: B

Pseudonymization does not remove data identifiability but rather reduces the direct link to an individual (GDPR Article 4(5)). Non-identifiable data includes attributes like gender and occupation, whereas restricted access data includes directly identifying details such as names. Anonymization, not pseudonymization, ensures complete irreversibility.


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Jody
2 months ago
Just to clarify, pseudonymization doesn't mean complete anonymity.
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Noah
2 months ago
Wait, only nationality? That seems too limited!
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Olive
3 months ago
Sounds right, but I thought age could also be identifiable.
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Wynell
3 months ago
I disagree, I think nationality can be identifiable too.
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Eura
3 months ago
Yes, that's how pseudonymization works!
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Mel
3 months ago
I believe the answer is A, but I’m not entirely confident. I remember discussing how restricted access data can include various identifiers, not just nationality.
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Viva
4 months ago
I’m a bit confused about the difference between pseudonymization and anonymization. I thought both could involve dividing data, but maybe only anonymization does that?
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Glory
4 months ago
I practiced a similar question where restricted access data included more than just nationality. I feel like gender and occupation should also be in that category.
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Meghan
4 months ago
I think I remember that pseudonymization allows for some identifiable data to remain, but I'm not sure if nationality is the only non-identifiable data.
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Adelina
4 months ago
I'm pretty confident that option A is the correct answer here. The question clearly states that with pseudonymization, the non-identifiable data includes only nationality, while the restricted access data has the other personal details.
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Rikki
4 months ago
Okay, let me think this through step-by-step. Pseudonymization involves replacing identifiable data with a code, while keeping the original data separate. So the non-identifiable data would include only the nationality, while the restricted access data would have the other details like gender and occupation.
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Leanora
5 months ago
Hmm, I'm a bit confused about the difference between pseudonymization and anonymization. I'll need to review those concepts to answer this properly.
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Nenita
5 months ago
This question seems straightforward, but I want to make sure I understand the key details about pseudonymization before answering.
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Beula
10 months ago
Ah, the old 'anonymization versus pseudonymization' conundrum. I'm pretty sure the answer is C, but I'm not going to lie, I'm still trying to figure out the difference between the two.
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Merlyn
9 months ago
B) No, non-identifiable data includes gender, nationality, and occupation, whereas restricted access data includes first name, last name, and age, among others
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Lemuel
9 months ago
A) Yes, when pseudonymization is used, non-identifiable data includes only nationality, whereas restricted access data includes gender, occupation, and age
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Vivienne
10 months ago
B) No, non-identifiable data includes gender, nationality, and occupation, whereas restricted access data includes first name, last name, and age, among others
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Sheron
10 months ago
A) Yes, when pseudonymization is used, non-identifiable data includes only nationality, whereas restricted access data includes gender, occupation, and age
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Kenny
11 months ago
I don't know about you, but I'm pretty sure that a dataset divided into restricted access and non-identifiable data would include a lot more than just gender, occupation, and nationality. Sounds like someone didn't read the question carefully.
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Lelia
9 months ago
C) No, only anonymization can be used to divide a dataset into restricted access data and non-identifiable data
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Colette
9 months ago
A) I agree, it seems like the person misunderstood the question
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Shawna
9 months ago
B) No, non-identifiable data includes gender, nationality, and occupation, whereas restricted access data includes first name, last name, and age, among others
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Tyisha
9 months ago
A) Yes, when pseudonymization is used, non-identifiable data includes only nationality, whereas restricted access data includes gender, occupation, and age
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Glennis
9 months ago
C) No, only anonymization can be used to divide a dataset into restricted access data and non-identifiable data
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Precious
10 months ago
A) I agree, it seems like the person misunderstood the question
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Kerry
10 months ago
B) No, non-identifiable data includes gender, nationality, and occupation, whereas restricted access data includes first name, last name, and age, among others
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My
10 months ago
A) Yes, when pseudonymization is used, non-identifiable data includes only nationality, whereas restricted access data includes gender, occupation, and age
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Lashandra
11 months ago
I agree with Alecia, A) makes more sense based on the definition of pseudonymization
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Alecia
11 months ago
But pseudonymization is about replacing identifying information with a pseudonym, so I still think A) is correct
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Katie
11 months ago
I disagree, I believe the answer is B)
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Denny
11 months ago
Are you kidding me? Non-identifiable data includes nationality? What a joke! Everyone knows that's the first thing people look for to identify someone.
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Regenia
10 months ago
C) No, only anonymization can be used to divide a dataset into restricted access data and non-identifiable data
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Adelle
10 months ago
B) No, non-identifiable data includes gender, nationality, and occupation, whereas restricted access data includes first name, last name, and age, among others
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Viva
11 months ago
A) Yes, when pseudonymization is used, non-identifiable data includes only nationality, whereas restricted access data includes gender, occupation, and age
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Alecia
11 months ago
I think the correct answer is A)
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