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Arcitura Education C90.02 Exam - Topic 6 Question 122 Discussion

Posted by Desmond on Mar 30, 2026 at 04:31 PM

We exported data from our on-premise relational database to a cloud-based non-relational database. After the export, we noticed that the size of the cloud-based database was significantly larger than our on-premise database. What is the likely reason that the database size increased?

Select the correct answer.

Suggested Answer: B

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12 comments · newest first
OL
Olive 3 months ago
I’m with C. The state data for scalability could add a lot of size.
AL
Alberta 3 months ago
I lean towards A. Extra metadata from HTTP headers makes sense.
GO
Golda 3 months ago
I think it's definitely B. Normalization to denormalization can really bloat size.
AV
Avery 4 months ago
All of the above? That sounds a bit too convenient, doesn't it?
CH
Chuck 4 months ago
C makes sense too, especially with cloud scalability needs.
MA
Malcom 4 months ago
Wait, isn't it possible that A could also contribute? More metadata could add up.
BA
Barb 5 months ago
Totally agree with B! Non-relational databases usually store more data.
GL
Glory 6 months ago
I think B is the main reason. Normalization vs. denormalization really affects size.
LY
Lynelle 6 months ago
I’m leaning towards D, thinking that all these factors could contribute to the size increase. It feels like a combination of issues we’ve seen in practice questions.
HO
Honey 6 months ago
I feel like option C makes sense too, especially with cloud databases needing to manage state data. But does that really apply to all non-relational databases?
EL
Ellen 7 months ago
I think we covered something about metadata in our last class. Option A could be a factor, but I wonder if it's significant enough to cause such a large increase.
MA
Matilda 7 months ago
I remember discussing how normalization affects database size, so option B seems plausible. But I'm not entirely sure if denormalization always leads to a size increase.
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