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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?

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Suggested Answer: C

Contribute your Thoughts:

Roslyn
1 months ago
Wait, so denormalization is like the BigQuery version of a cheat code? Sign me up!
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Elizabeth
12 days ago
D) Reduces the amount of data processed, increases query speed
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Irma
14 days ago
C) Reduces the amount of storage required, increases query speed
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Micah
17 days ago
A) Reduces the amount of data processed, reduces the amount of storage required
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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.
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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!
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Bok
23 hours ago
Yeah, denormalization can definitely help with reducing storage and speeding up queries.
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Diane
2 days ago
C) Reduces the amount of storage required, increases query speed
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Jamal
5 days 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!
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Jaime
6 days ago
A) Reduces the amount of data processed, reduces the amount of storage required
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Gayla
8 days ago
C) Reduces the amount of storage required, increases query speed
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Tula
15 days ago
A) Reduces the amount of data processed, reduces the amount of storage required
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Carin
2 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.
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Erasmo
7 days ago
Definitely, it's important to understand the benefits of denormalized data structures in BigQuery.
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Rosenda
10 days ago
Yes, denormalized data structures are all about that trade-off.
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Ruthann
11 days ago
I think C is the correct answer. It reduces storage and increases query speed.
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Levi
2 months ago
So, the benefits are reducing data processed and increasing query speed.
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Bernardo
2 months ago
Option C seems like the most comprehensive answer. Denormalization can definitely reduce storage requirements and improve query performance.
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Georgiann
1 months ago
Yes, denormalized data structures in BigQuery can definitely improve performance and reduce storage needs.
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Rosendo
2 months ago
I agree, denormalization can really help with reducing storage and speeding up queries.
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Reid
2 months ago
Yes, that's true. It also increases query speed.
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Levi
2 months ago
I think using denormalized data structures in BigQuery can reduce the amount of data processed.
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