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Google Professional Data Engineer Exam - Topic 3 Question 3 Discussion

Actual exam question for Google's Professional Data Engineer exam

Question #: 3
Topic #: 3

[All Professional Data Engineer Questions]

Your company handles data processing for a number of different clients. Each client prefers to use their own suite of analytics tools, with some allowing direct query access via Google BigQuery. You need to secure the data so that clients cannot see each other's data. You want to ensure appropriate access to the data. Which three steps should you take? (Choose three.)

ALoad data into different partitions.

BLoad data into a different dataset for each client.

CPut each client's BigQuery dataset into a different table.

DRestrict a client's dataset to approved users.

EOnly allow a service account to access the datasets.

FUse the appropriate identity and access management (IAM) roles for each client's users.

Show Suggested Answer

Suggested Answer: B, D, F

by Cordelia at May 07, 2022, 08:31 PM

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Willard

4 months ago

C sounds confusing, why not just keep it simple with datasets?

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Corazon

4 months ago

Wait, can clients really access each other's data if we mess this up?

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Valentine

4 months ago

A and F seem like solid choices too!

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Stephanie

4 months ago

I think E is a bit overkill, honestly.

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Georgene

5 months ago

Definitely B and D are musts!

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Cornell

5 months ago

I thought about partitioning data, but I'm not convinced that's the best way to secure it. I guess I need to think more about the options.

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Susana

5 months ago

I'm not entirely sure, but I think restricting access to datasets is important too. Maybe option D?

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Devon

5 months ago

I remember something about using different datasets for each client to keep their data separate. That seems like a good option.

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Nan

5 months ago

I practiced a similar question, and I feel like using IAM roles is crucial for managing access. Option F might be the right choice.

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Tammara

5 months ago

This question seems straightforward, but I want to make sure I understand the implications of the KPI importance weight of 11.

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Kattie

5 months ago

I vaguely remember something about "probabilistic" analysis too. It focuses on uncertain outcomes, right? I might get confused with that!

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