Google Exam Professional Data Engineer Topic 5 Question 107 Discussion

Actual exam question for Google's Professional Data Engineer exam

Question #: 107
Topic #: 5

[All Professional Data Engineer Questions]

You want to optimize your queries for cost and performance. How should you structure your data?

APartition table data by create_date, location_id and device_version

BPartition table data by create_date cluster table data by location_Id and device_version

CCluster table data by create_date location_id and device_version

DCluster table data by create_date partition by locationed and device_version

Show Suggested Answer

Suggested Answer: B

by Melita at May 03, 2025, 11:37 PM

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Loren

Option B all the way! Partitioning and clustering, it's like a dance of optimization. Now, if only I could get my boss to understand the importance of this...

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Portia

4 days ago

Option D? Really? Clustering by create_date and then partitioning by location_id and device_version? Sounds like a recipe for disaster if you ask me.

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Patria

17 days ago

I prefer option D, clustering table data by create_date and partitioning by location_id and device_version can help with query optimization.

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Madelyn

18 days ago

Hmm, this is a tough one. I'm going to have to go with Option C. Clustering all three columns seems like the simplest approach, and it might be good enough for most use cases.

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Erick

4 days ago

I think Option C is the best choice too. It simplifies the structure and should help with performance.

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Aretha

18 days ago

I think option C makes the most sense, clustering table data by create_date, location_id, and device_version can provide both cost and performance benefits.

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Lizette

1 months ago

I disagree, I believe option B is more efficient because clustering table data by location_id and device_version can improve performance.

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Pamella

2 months ago

I'm leaning towards Option A. Partitioning by all three columns should provide the best overall optimization, even if it's a bit more complicated to set up.

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Wade

3 days ago

User 3: Option A does seem like the most comprehensive approach. It's worth the extra effort for better optimization.

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Shawnda

4 days ago

User 2: I agree, it may be a bit more work to set up, but it should optimize both cost and performance.

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Joni

1 months ago

User 1: I think Option A is the way to go. Partitioning by all three columns seems like the best choice.

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Keshia

2 months ago

I think option A is the best choice because partitioning by create_date, location_id, and device_version can help optimize queries.

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Thea

2 months ago

Option B seems like the way to go. Partitioning by create_date and then clustering by location_id and device_version sounds like a good strategy to optimize both cost and performance.

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Olen

1 months ago

Partitioning by create_date and then clustering by location_id and device_version sounds like a good strategy to optimize both cost and performance.

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Vi

1 months ago

Option B seems like the way to go.

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