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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?

Show Suggested Answer Hide Answer
Suggested Answer: B

Contribute your Thoughts:

Portia
2 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
15 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
16 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
2 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
16 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
1 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
21 hours 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
2 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
1 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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