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Google Professional Cloud Architect Exam - Topic 7 Question 22 Discussion

Actual exam question for Google's Professional Cloud Architect exam
Question #: 22
Topic #: 7
[All Professional Cloud Architect Questions]

You are working at a sports association whose members range in age from 8 to 30. The association collects a large amount of health data, such as sustained injuries. You are storing this data in BigQuery. Current legislation requires you to delete such information upon request of the subject. You want to design a solution that can accommodate such a request. What should you do?

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Kati
4 months ago
I like A, but what if IDs get mixed up?
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Caprice
4 months ago
Overwriting with SHA256? That feels risky, not sure it’s compliant.
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Kiera
4 months ago
C sounds like a workaround, not a real solution.
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Emogene
4 months ago
I think B is better, using DLP is more secure!
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Lennie
5 months ago
Option A seems straightforward, just delete by ID.
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Gennie
5 months ago
I like option D because it keeps the identifier secure, but I’m unsure if overwriting it with a hash is compliant with the legislation.
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Novella
5 months ago
I remember practicing a question about data privacy, and option B sounds familiar. Using the DLP API could help identify personal info, but I wonder if it adds too much complexity.
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Winfred
5 months ago
I think option A makes sense since using a unique identifier seems straightforward for deletion requests, but I'm not sure if it's the most compliant method.
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Kizzy
5 months ago
Option C seems like a workaround, but I’m not confident it fully meets the legal requirements. Excluding rows in a view might not actually delete the data.
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Lettie
5 months ago
Hmm, this looks like a tricky SQL query question. I'll need to carefully read through the options and think about how to approach it.
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Lavonna
5 months ago
Hmm, I'm not sure about this one. I'm debating between static analysis and dynamic analysis. I'll need to think it through carefully.
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Margarita
5 months ago
This seems like a tricky question. I'll need to carefully review the data sources and indexing options to determine the best approach.
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