Deal of The Day! Hurry Up, Grab the Special Discount - Save 25% - Ends In 00:00:00 Coupon code: SAVE25
Welcome to Pass4Success

- Free Preparation Discussions
Mail Us support@pass4success.com
Location US
Mob_nav_barsMENU

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

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

Limited Time Offer

25%

Off

Get Premium Professional Data Engineer Questions as Interactive Web-Based Practice Test or PDF

Contribute your Thoughts:

Submit Cancel
Lizette
15 days ago
I disagree, I believe option B is more efficient because clustering table data by location_id and device_version can improve performance.
upvoted 0 times
...
Pamella
28 days 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.
upvoted 0 times
Joni
20 days ago
User 1: I think Option A is the way to go. Partitioning by all three columns seems like the best choice.
upvoted 0 times
...
...
Keshia
28 days ago
I think option A is the best choice because partitioning by create_date, location_id, and device_version can help optimize queries.
upvoted 0 times
...
Thea
1 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.
upvoted 0 times
Olen
21 days 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.
upvoted 0 times
...
Vi
27 days ago
Option B seems like the way to go.
upvoted 0 times
...
...

Save Cancel