CertNexus AIP-210 Exam - Topic 2 Question 45 Discussion

Actual exam question for CertNexus's AIP-210 exam

Question #: 45
Topic #: 2

[All AIP-210 Questions]

Which of the following principles supports building an ML system with a Privacy by Design methodology?

AAvoiding mechanisms to explain and justify automated decisions.

BCollecting and processing the largest amount of data possible.

CUnderstanding, documenting, and displaying data lineage.

DUtilizing quasi-identifiers and non-unique identifiers, alone or in combination.

Show Suggested Answer

Suggested Answer: C

Data lineage is the process of tracking the origin, transformation, and usage of data throughout its lifecycle. It helps to ensure data quality, integrity, and provenance. Data lineage also supports the Privacy by Design methodology, which is a framework that aims to embed privacy principles into the design and operation of systems, processes, and products that involve personal data.By understanding, documenting, and displaying data lineage, an ML system can demonstrate how it collects, processes, stores, and deletes personal data in a transparent and accountable manner3.

by Ezekiel at Jul 13, 2025, 02:23 PM

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Anisha

2 months ago

Collecting more data (B) seems counterintuitive to privacy.

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Marylin

3 months ago

Wow, I didn't realize data lineage was so important!

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Barbra

3 months ago

I think A is more relevant, honestly.

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Vicki

3 months ago

Not sure if D really fits with Privacy by Design.

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Kenneth

3 months ago

C is definitely the right choice!

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Shantell

3 months ago

I think D is definitely not the right choice. Using quasi-identifiers seems like it would go against the idea of Privacy by Design.

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Colette

4 months ago

I feel like A could be a trick option. Avoiding explanations sounds counterintuitive to privacy, but I can't recall the exact principle.

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Pearlene

4 months ago

I remember practicing a question about data collection, and it emphasized that collecting too much data can be risky. So, I don't think B is right.

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Marquetta

4 months ago

I think the answer might be C, but I'm not entirely sure. It seems like understanding data lineage is really important for privacy.

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Marica

4 months ago

A and B seem like the opposite of what Privacy by Design is about. I'm leaning towards C or D, but I'll need to think it through.

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Lai

4 months ago

Option D sounds like it could be the right answer, but I'm not 100% confident. I'll need to double-check my understanding of quasi-identifiers.

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Delmy

5 months ago

I think the answer is C. Understanding and documenting data lineage is key to ensuring privacy in an ML system.

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Herman

5 months ago

Hmm, I'm not sure about this one. I'll have to review my notes on Privacy by Design to figure out which principle is most relevant.

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Cristy

5 months ago

This one seems tricky. I'll need to think carefully about the principles of Privacy by Design and how they relate to the options provided.

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Catarina

6 months ago

Ooh, D sounds interesting. Using non-unique identifiers could be a clever way to protect privacy. I'll have to look into that more.

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Tiara

5 months ago

True, but combined with other methods, it could be safer.

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Lenna

5 months ago

Understanding data lineage is crucial too, though.

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Arlyne

5 months ago

I agree, option D has some potential!

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Rasheeda

5 months ago

But isn't it risky? Non-unique identifiers might still expose data.

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Candida

7 months ago

Ha! Avoiding explanations for automated decisions? That's the opposite of what we want. Privacy by Design is all about transparency and accountability.

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Vernell

5 months ago

User 2: Definitely, we need to understand and document data lineage.

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Adell

6 months ago

User 1: I agree, transparency is key for Privacy by Design.

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Pearly

7 months ago

That's a good point, Leonora. Both C) and D) could be valid answers for building a privacy-focused ML system.

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Leonora

7 months ago

I'm not sure about that. I think D) Utilizing quasi-identifiers and non-unique identifiers is also important for privacy.

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Margot

7 months ago

I'm not sure, but B sounds like a terrible idea for a privacy-focused system. Collecting massive amounts of data without regard for privacy is a big no-no.

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