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

Google Exam Professional Data Engineer Topic 6 Question 69 Discussion

Actual exam question for Google's Professional Data Engineer exam
Question #: 69
Topic #: 6
[All Professional Data Engineer Questions]

What are two of the benefits of using denormalized data structures in BigQuery?

Show Suggested Answer Hide Answer
Suggested Answer: C

Contribute your Thoughts:

Roslyn
26 days ago
Wait, so denormalization is like the BigQuery version of a cheat code? Sign me up!
upvoted 0 times
Elizabeth
3 days ago
D) Reduces the amount of data processed, increases query speed
upvoted 0 times
...
Irma
5 days ago
C) Reduces the amount of storage required, increases query speed
upvoted 0 times
...
Micah
8 days ago
A) Reduces the amount of data processed, reduces the amount of storage required
upvoted 0 times
...
...
Blossom
1 months ago
Option D is close, but I think C is the better answer. Reducing data processed and increasing speed - that's the sweet spot for denormalization.
upvoted 0 times
...
Hui
1 months ago
Hmm, I'm not sure I fully understand the benefits of denormalization. But hey, at least it's not as confusing as trying to figure out the optimal number of shards in a BigQuery table!
upvoted 0 times
Tula
6 days ago
A) Reduces the amount of data processed, reduces the amount of storage required
upvoted 0 times
...
...
Carin
1 months ago
I agree, C is the way to go. Denormalized data structures are all about trading off storage for speed, and that's exactly what this question is asking about.
upvoted 0 times
Rosenda
16 hours ago
Yes, denormalized data structures are all about that trade-off.
upvoted 0 times
...
Ruthann
2 days ago
I think C is the correct answer. It reduces storage and increases query speed.
upvoted 0 times
...
...
Levi
2 months ago
So, the benefits are reducing data processed and increasing query speed.
upvoted 0 times
...
Bernardo
2 months ago
Option C seems like the most comprehensive answer. Denormalization can definitely reduce storage requirements and improve query performance.
upvoted 0 times
Georgiann
28 days ago
Yes, denormalized data structures in BigQuery can definitely improve performance and reduce storage needs.
upvoted 0 times
...
Rosendo
1 months ago
I agree, denormalization can really help with reducing storage and speeding up queries.
upvoted 0 times
...
...
Reid
2 months ago
Yes, that's true. It also increases query speed.
upvoted 0 times
...
Levi
2 months ago
I think using denormalized data structures in BigQuery can reduce the amount of data processed.
upvoted 0 times
...

Save Cancel