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Google Professional Cloud Database Engineer Exam - Topic 12 Question 22 Discussion

You recently launched a new product to the US market. You currently have two Bigtable clusters in one US region to serve all the traffic. Your marketing team is planning an immediate expansion to APAC. You need to roll out the regional expansion while implementing high availability according to Google-recommended practices. What should you do?
D) Maintain a target of 35% CPU utilization by locating: cluster-a in zone us-central1-a cluster-b in zone us-central2-a cluster-c in zone asia-northeast1-b cluster-d in zone asia-east1-b
A) Maintain a target of 23% CPU utilization by locating: cluster-a in zone us-central1-a cluster-b in zone europe-west1-d cluster-c in zone asia-east1-b
B) Maintain a target of 23% CPU utilization by locating: cluster-a in zone us-central1-a cluster-b in zone us-central1-b cluster-c in zone us-east1-a
C) Maintain a target of 35% CPU utilization by locating: cluster-a in zone us-central1-a cluster-b in zone australia-southeast1-a cluster-c in zone europe-west1-d cluster-d in zone asia-east1-b

Google Professional Cloud Database Engineer Exam - Topic 12 Question 22 Discussion

Actual exam question for Google's Professional Cloud Database Engineer exam
Question #: 22
Topic #: 12
[All Professional Cloud Database Engineer Questions]

You recently launched a new product to the US market. You currently have two Bigtable clusters in one US region to serve all the traffic. Your marketing team is planning an immediate expansion to APAC. You need to roll out the regional expansion while implementing high availability according to Google-recommended practices. What should you do?

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Suggested Answer: D

https://docs.google.com/forms/d/e/1FAIpQLSfZ77ZnuUL0NpU-bOtO5QUkC0cnRCe5YKMiubLXwfV3abBqkg/viewform


by Francine at Nov 23, 2023, 09:03 AM

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Samira
6 months ago
Why are we using Europe zones for APAC expansion?
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Cyril
6 months ago
I disagree, option B is better for US traffic.
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Dana
7 months ago
35% CPU utilization? Seems a bit high, right?
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Delmy
7 months ago
I think option D makes the most sense for APAC.
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Lettie
7 months ago
Cluster locations matter a lot for latency!
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Tuyet
7 months ago
I recall that maintaining a target CPU utilization is crucial, but I can't remember if 23% is too low. I think we should aim for a balance between performance and cost.
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Kristin
8 months ago
I’m a bit confused about the zones. Shouldn't we prioritize clusters in the same region for lower latency? I’m not sure if spreading them out is the best approach.
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Veronika
8 months ago
I think we practiced a question similar to this where we had to choose clusters in different regions. I feel like option C might be the right choice since it covers more regions.
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Simona
8 months ago
I remember we discussed the importance of regional distribution for high availability, but I'm not sure if 23% or 35% CPU utilization is better for this scenario.
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Dean
8 months ago
I feel pretty confident about this one. The Google-recommended practices for high availability suggest using multiple clusters across different zones and regions. Based on the information provided, option D looks like the most comprehensive solution to meet the requirements.
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Venita
8 months ago
This is a tricky one. I'm not sure if I fully understand the implications of the different CPU utilization targets. I'll need to think through the trade-offs between redundancy, performance, and cost before deciding on the best approach.
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Francisca
8 months ago
Okay, I think I've got this. The key is to distribute the clusters across multiple zones and regions to ensure high availability. Based on the options, B and D seem like the best choices since they cover both the US and APAC regions.
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Carmen
8 months ago
Hmm, I'm a bit confused about the CPU utilization targets. Do we need to strictly maintain 23% or 35% in each cluster, or is that just a general guideline? I'll need to re-read the question carefully to make sure I understand the requirements.
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Barrett
8 months ago
This question seems straightforward - we need to set up a highly available Bigtable solution across multiple regions to support the expansion to APAC. The key is to maintain the target CPU utilization while ensuring redundancy.
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Jamal
8 months ago
Hmm, this question seems a bit tricky. Let me think through the 5G NSA Option 3x architecture and the different downlink data split modes that can be supported on the gNodeB side.
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Vicky
8 months ago
I think applying the Redundant Implementation pattern might help but seem to recall that it could complicate the architecture further.
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Keneth
8 months ago
I'm a little confused by the wording here. I'll need to re-read the question and options a few times to make sure I understand what they're asking.
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Keneth
8 months ago
Hmm, I'm a bit unsure about this one. I'm not super familiar with OpenTelemetry, so I'm not sure if that's the best option. Maybe I should look into the other choices a bit more before deciding.
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Barney
8 months ago
This one seems pretty straightforward. I think the answer is B - Ongoing surveys, since the question specifically mentions measuring the quality of a single call or incident.
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Ozell
1 year ago
Ah, the classic 'high availability' question. Gotta love it. I think option B is the safest bet, but if I'm feeling adventurous, maybe I'll go with C and see what happens.
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Dylan
12 months ago
Yeah, option B seems like the best option for maintaining high availability.
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Timothy
12 months ago
I would go with option B for a safer approach.
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Mabel
1 year ago
I think option C could be interesting to try out, but it might be riskier.
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Teddy
1 year ago
I agree, option B seems like the most reliable choice.
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Raymon
1 year ago
Haha, 'Bigtable clusters' - sounds like a supersized version of our regular database! I'm leaning towards option D, just to keep things interesting.
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Helene
12 months ago
Let's go with option D then, it seems like the best fit for our expansion to APAC.
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Bronwyn
1 year ago
Yeah, maintaining a target of 35% CPU utilization with those cluster locations makes sense.
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Nadine
1 year ago
I agree, option D seems like a solid plan for the regional expansion.
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Giuseppe
1 year ago
Option D does sound interesting! I think it's a good choice.
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Louvenia
1 year ago
Wait, we need to maintain a target of 23% CPU utilization? That's a pretty low bar. I'd go with option C and spread the clusters across multiple regions to improve availability.
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Alberta
1 year ago
I'm not sure, option C also looks promising with the 35% CPU utilization target.
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Norah
1 year ago
Hmm, this looks like a tricky one. I'm thinking option B might be the way to go, keeping the clusters in the same US region for now and then adding a third cluster in APAC later.
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Gladys
1 year ago
I think we should consider the long-term scalability and performance benefits of option C for our regional expansion.
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Tomoko
1 year ago
That's true, option C could provide better performance with the higher CPU utilization target and spreading the clusters across different regions.
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Daron
1 year ago
But what about option C? It suggests maintaining a higher CPU utilization target and adding a cluster in APAC as well.
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Kristin
1 year ago
I agree, option B seems like a good choice to maintain CPU utilization and keep the clusters in the same US region.
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Kizzy
1 year ago
I agree with Ollie, option B seems like the best choice for high availability.
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Ollie
1 year ago
I think we should go with option B.
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