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Google Professional Data Engineer Exam - Topic 1 Question 113 Discussion

Actual exam question for Google's Professional Data Engineer exam
Question #: 113
Topic #: 1
[All Professional Data Engineer Questions]

You are working on a sensitive project involving private user dat

a. You have set up a project on Google Cloud Platform to house your work internally. An external consultant is going to assist with coding a complex transformation in a Google Cloud Dataflow pipeline for your project. How should you maintain users' privacy?

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Suggested Answer: C

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Bernardine
1 day ago
B could expose sensitive data. D keeps it secure.
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Susy
7 days ago
But what about B? The consultant needs access to do their job.
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Elvis
12 days ago
Agreed! Protecting user privacy is crucial.
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Lourdes
17 days ago
I think D is the best option. Anonymized data is safer.
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Kelvin
22 days ago
A service account sounds like a good compromise.
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Paola
27 days ago
Can we really trust the consultant with any access?
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Jesusa
2 months ago
Anonymized data is the safest way to go!
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Mabelle
2 months ago
I think the Cloud Dataflow Developer role is necessary for coding.
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Olive
2 months ago
C) Create a service account and allow the consultant to log on with it. Sounds like the most secure option to me.
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Dahlia
2 months ago
D) Create an anonymized sample of the data for the consultant to work with in a different project. Gotta keep that user data under lock and key, you know?
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Dorathy
2 months ago
B) Grant the consultant the Cloud Dataflow Developer role on the project. This gives them the necessary permissions to work on the transformation.
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Helga
2 months ago
C) Create a service account and allow the consultant to log on with it. This way, the consultant can access the data without using their own account.
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Andra
3 months ago
D) Create an anonymized sample of the data for the consultant to work with in a different project. This ensures the consultant doesn't have access to the actual private user data.
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Veronique
3 months ago
I practiced a similar question where we had to balance access and privacy. I feel like the service account option could be a safe way to limit exposure.
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Vilma
3 months ago
I think creating an anonymized sample of the data could be a good approach, but I'm not sure if it would be sufficient for the complex transformation they need to do.
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Mammie
3 months ago
I remember we discussed the importance of minimizing access to sensitive data. Granting the Viewer role might not be enough for the consultant's needs.
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Avery
3 months ago
I'm a bit confused on the differences between the roles and how they impact access. I'll need to review the Cloud Platform documentation to make sure I fully understand the implications of each option.
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Franklyn
3 months ago
Yeah, that makes sense. Creating an anonymized sample for them to work with is also a good idea, just to be extra cautious.
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Johnna
4 months ago
I think the best approach here is to create a service account for the consultant. That way they can log in and do their work without having direct access to the private user data.
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Shonda
4 months ago
Granting the Viewer role is too risky!
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Harrison
4 months ago
I’m a bit confused about the roles. Granting the Cloud Dataflow Developer role seems too broad for someone who shouldn't access user data directly.
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Pok
4 months ago
A) Grant the consultant the Viewer role on the project. That's just asking for trouble, mate!
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Jolanda
5 months ago
Okay, let's see. I'm pretty sure granting the Viewer role is not enough, since the consultant still needs to be able to actually work on the pipeline. And I don't think we want to give them full Cloud Dataflow Developer access either.
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Candida
5 months ago
Hmm, this seems like a tricky one. I'll need to think carefully about how to balance giving the consultant access while still protecting user privacy.
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Terry
4 months ago
I think creating an anonymized sample is the safest bet.
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