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Google Professional Cloud Database Engineer Exam - Topic 14 Question 58 Discussion

Actual exam question for Google's Professional Cloud Database Engineer exam
Question #: 58
Topic #: 14
[All Professional Cloud Database Engineer Questions]

You work for a financial services company that wants to use fully managed database services. Traffic volume for your consumer services products has increased annually at a constant rate with occasional spikes around holidays. You frequently need to upgrade the capacity of your database. You want to use Cloud Spanner and include an automated method to increase your hardware capacity to support a higher level of concurrency. What should you do?

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Jerry
6 days ago
I think we practiced a similar question where we had to choose between scaling methods. I feel like the Autoscaler-based architecture is key, but I can't recall the specifics.
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Ula
12 days ago
I remember studying about Cloud Spanner's scaling options, but I'm not sure if linear or direct scaling is the right choice here.
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Alexis
17 days ago
Based on the details provided, I think the best approach is to use linear scaling to implement the Autoscaler-based architecture. That way, the system can automatically scale up as needed to handle the increased traffic.
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Ashton
23 days ago
Upgrading the Cloud Spanner instance on a periodic basis could work, but it might not be the most efficient approach if the traffic volume is constantly increasing. I'd prefer a more dynamic solution.
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Marleen
28 days ago
The question mentions needing to support a higher level of concurrency, so I'm leaning towards the option that involves setting up alerts and scheduling upgrades during maintenance windows.
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Tenesha
1 month ago
Hmm, I'm a bit confused about the differences between linear and direct scaling. I'll need to review that part of the material again before deciding.
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Erick
1 month ago
This question seems straightforward. I think the key is to use the Autoscaler-based architecture to automatically scale the Cloud Spanner instance as needed.
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Nichelle
3 months ago
Option A is the clear winner here. Linear scaling? That's my middle name!
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Geraldine
3 months ago
Hmm, I dunno, these database options are making my head spin. Can we just use a spreadsheet instead?
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Ceola
3 months ago
That's a good point, we should consider both options before making a decision.
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Melita
3 months ago
Direct scaling might be faster, but linear scaling provides more flexibility for our traffic spikes.
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Glendora
3 months ago
I'm not sure, maybe direct scaling could be more efficient in our case.
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Ceola
4 months ago
I agree with Melita, linear scaling would be the best option for our needs.
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Melita
4 months ago
I think we should use linear scaling with Autoscaler-based architecture.
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Elfriede
4 months ago
I'm all for option B. Direct scaling is where it's at! No need to get fancy with Autoscaler-based stuff.
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Rolland
3 months ago
User 2: Yeah, direct scaling seems like the simpler and more efficient choice.
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Sue
3 months ago
User 1: I think we should go with option B for direct scaling.
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Lorean
4 months ago
D sounds good, but I'm a bit concerned about the scheduled maintenance window. What if we need to scale up during off-hours?
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Twana
3 months ago
C) Upgrade the Cloud Spanner instance on a periodic basis during the scheduled maintenance window.
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Miesha
4 months ago
B) Use direct scaling to implement the Autoscaler-based architecture.
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Gail
4 months ago
A) Use linear scaling to implement the Autoscaler-based architecture
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Marcos
4 months ago
Autoscaler is the way to go! Less manual work and more automation, that's what I like to see.
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Tawanna
3 months ago
D) Setting up alerts for utilization metrics is a good proactive approach
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Lacey
4 months ago
B) I agree, using Autoscaler will definitely help with the automation
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Shanda
4 months ago
A) Use linear scaling to implement the Autoscaler-based architecture
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