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?

AGrant the consultant the Viewer role on the project.

BGrant the consultant the Cloud Dataflow Developer role on the project.

CCreate a service account and allow the consultant to log on with it.

DCreate an anonymized sample of the data for the consultant to work with in a different project.

Show Suggested Answer

Suggested Answer: C

by Deeann at Nov 25, 2025, 09:39 PM

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Jesusa

7 hours ago

Anonymized data is the safest way to go!

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Mabelle

5 days ago

I think the Cloud Dataflow Developer role is necessary for coding.

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Olive

11 days 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

16 days 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

21 days 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

26 days 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

1 month 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

1 month 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

1 month 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

2 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

2 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

2 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

2 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

2 months ago

Granting the Viewer role is too risky!

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Harrison

3 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

3 months ago

A) Grant the consultant the Viewer role on the project. That's just asking for trouble, mate!

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Jolanda

3 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

3 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

2 months ago

I think creating an anonymized sample is the safest bet.

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