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Google Professional Cloud Database Engineer Exam - Topic 13 Question 31 Discussion

Your company is developing a global ecommerce website on Google Cloud. Your development team is working on a shopping cart service that is durable and elastically scalable with live traffic. Business disruptions from unplanned downtime are expected to be less than 5 minutes per month. In addition, the application needs to have very low latency writes. You need a data storage solution that has high write throughput and provides 99.99% uptime. What should you do?
D) Use Bigtable for data storage.
A) Use Cloud SQL for data storage.
B) Use Cloud Spanner for data storage.
C) Use Memorystore for data storage.

Google Professional Cloud Database Engineer Exam - Topic 13 Question 31 Discussion

Actual exam question for Google's Professional Cloud Database Engineer exam
Question #: 31
Topic #: 13
[All Professional Cloud Database Engineer Questions]

Your company is developing a global ecommerce website on Google Cloud. Your development team is working on a shopping cart service that is durable and elastically scalable with live traffic. Business disruptions from unplanned downtime are expected to be less than 5 minutes per month. In addition, the application needs to have very low latency writes. You need a data storage solution that has high write throughput and provides 99.99% uptime. What should you do?

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Suggested Answer: D

by Marge at May 03, 2024, 03:22 AM

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Pamela
9 months ago
Wait, are we sure 5 minutes downtime is realistic with any of these options?
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Odelia
9 months ago
Definitely leaning towards Cloud Spanner, seems like the best fit!
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Lasandra
10 months ago
Bigtable is great for low latency, but not sure about the durability.
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Daren
10 months ago
I think Cloud SQL could work too, but not for 99.99% uptime.
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Kent
10 months ago
Cloud Spanner is the way to go for high write throughput!
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Theola
10 months ago
Bigtable could be a good option for high write throughput, but does it meet the 99.99% uptime requirement? I'm a bit uncertain.
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Jackie
11 months ago
I practiced a similar question, and I feel like Memorystore is more for caching rather than durable storage, right?
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Val
11 months ago
I think Cloud Spanner might be the right choice since it offers scalability and high availability, but I need to double-check its latency specs.
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Page
11 months ago
I remember that Cloud SQL is great for relational data, but I'm not sure it can handle the high write throughput we need.
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Jeanice
11 months ago
I'm a bit confused by all the storage options. I'll need to make sure I understand the tradeoffs before selecting an answer.
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Cassi
11 months ago
This looks straightforward to me. Based on the requirements, I'm leaning towards Cloud Spanner as the best solution.
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Jarvis
11 months ago
Okay, I think I have a strategy here. I'll focus on the key criteria like high write throughput and 99.99% uptime to narrow down the options.
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Lashanda
11 months ago
Hmm, I'm a bit unsure about this. I'll need to review the differences between the Google Cloud storage options to determine the best fit.
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Coral
11 months ago
This seems like a tricky one. I'll need to carefully consider the requirements around durability, scalability, and low latency writes.
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Joaquin
11 months ago
I'm a bit unsure about this one. Does Azure Storage support rotating the encryption keys monthly? I'll need to double-check the documentation to make sure the solution meets all the requirements.
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Celestina
11 months ago
A summary report with cross filters seems like a good option. That would give the client a high-level view of the data while still allowing them to drill down into the details.
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Beatriz
11 months ago
Hmm, I'm leaning towards C. It makes sense that you don't necessarily need to do every single activity, as long as you can execute the key ones effectively.
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Alline
11 months ago
Hmm, this looks like a tricky one. I'll need to carefully analyze the data to determine the most efficient strategy.
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Joseph
1 year ago
Hold up, did someone say 'low latency writes'? I'm sold on Cloud Spanner already! That's like music to my ears. *starts dancing*
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Mila
1 year ago
User 3: I'm glad we're all on the same page. Cloud Spanner it is!
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Ilene
1 year ago
User 2: I agree, Cloud Spanner is perfect for our needs. Let's go with that.
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Lovetta
1 year ago
User 3: I think Cloud Spanner is the best choice for high write throughput and uptime. Let's use it for our data storage solution.
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Desmond
1 year ago
User 1: Cloud Spanner is definitely the way to go for low latency writes!
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Amie
1 year ago
User 2: I agree, Cloud Spanner is perfect for our needs. Let's go with that.
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Ernest
1 year ago
User 1: Cloud Spanner is definitely the way to go for low latency writes!
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Ria
1 year ago
Cloud SQL could work, but it might struggle to handle the high write throughput and low latency requirements. I'd go with Cloud Spanner for this use case.
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Yuki
1 year ago
I'm not sure Memorystore is the best fit since it's primarily an in-memory data store. Cloud Bigtable could work, but it might be overkill for a shopping cart service.
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Denna
1 year ago
D) Use Bigtable for data storage.
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King
1 year ago
C) Use Memorystore for data storage.
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Royce
1 year ago
B) Use Cloud Spanner for data storage.
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Rodolfo
1 year ago
A) Use Cloud SQL for data storage.
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Willodean
1 year ago
I'm not sure, but Cloud Spanner does sound like the best option for our requirements.
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Sylvie
1 year ago
Cloud Spanner seems like the obvious choice here. It's designed for global, mission-critical applications and provides the high availability and low latency writes we need.
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Lettie
1 year ago
B) Use Cloud Spanner for data storage.
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Lyda
1 year ago
A) Use Cloud SQL for data storage.
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Jenelle
1 year ago
I agree with Mozell. Cloud Spanner provides high write throughput and 99.99% uptime.
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Mozell
1 year ago
I think we should use Cloud Spanner for data storage.
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Melissia
1 year ago
I'm not sure about Cloud Spanner. Maybe we should consider using Bigtable for data storage.
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Pearline
1 year ago
I agree with Trina. Cloud Spanner provides high write throughput and 99.99% uptime.
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Trina
1 year ago
I think we should use Cloud Spanner for data storage.
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