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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?

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Suggested Answer: B

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

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Becky
29 days ago
This question is making my head spin like a data-driven tornado. Time to grab a cup of coffee and think it through again.
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Loren
30 days ago
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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Monroe
2 days ago
I agree, it really does make a difference in cost and performance.
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Glenn
5 days ago
Option B all the way! Partitioning and clustering, it's like a dance of optimization.
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Portia
1 months 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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Alva
10 days ago
A) Partition table data by create_date, location_id and device_version
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Daniel
13 days ago
C) Cluster table data by create_date location_id and device_version
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Madonna
23 days ago
B) Partition table data by create_date cluster table data by location_Id and device_version
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Roselle
26 days ago
A) Partition table data by create_date, location_id and device_version
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Patria
2 months 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
2 months 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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Gerardo
28 days ago
I agree, clustering by all three columns seems like a good balance between cost and performance.
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Erick
1 months ago
I think Option C is the best choice too. It simplifies the structure and should help with performance.
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Aretha
2 months 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
2 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
3 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
1 months 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
1 months 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
2 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
3 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
3 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
2 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
2 months ago
Option B seems like the way to go.
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