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Google Professional Cloud Architect (PR000213) Exam - Topic 11 Question 84 Discussion

You are using Cloud SQL as the database backend for a large CRM deployment. You want to scale as usage increases and ensure that you don't run out of storage, maintain 75% CPU usage cores, and keep replication lag below 60 seconds. What are the correct steps to meet your requirements?
A) 1) Enable automatic storage increase for the instance. 2) Create a Stackdriver alert when CPU usage exceeds 75%, and change the instance type to reduce CPU usage. 3) Create a Stackdriver alert for replication lag, and shard the database to reduce replication time.
B) 1) Enable automatic storage increase for the instance. 2) Change the instance type to a 32-core machine type to keep CPU usage below 75%. 3) Create a Stackdriver alert for replication lag, and shard the database to reduce replication time.
C) 1) Create a Stackdriver alert when storage exceeds 75%, and increase the available storage on the instance to create more space. 2) Deploy memcached to reduce CPU load. 3) Change the instance type to a 32-core machine type to reduce replication lag.
D) 1) Create a Stackdriver alert when storage exceeds 75%, and increase the available storage on the instance to create more space. 2) Deploy memcached to reduce CPU load. 3) Create a Stackdriver alert for replication lag, and change the instance type to a 32-core machine type to reduce replication lag.

Google Professional Cloud Architect (PR000213) Exam - Topic 11 Question 84 Discussion

Actual exam question for Google's Professional Cloud Architect (PR000213) exam
Question #: 84
Topic #: 11
[All Professional Cloud Architect (PR000213) Questions]

You are using Cloud SQL as the database backend for a large CRM deployment. You want to scale as usage increases and ensure that you don't run out of storage, maintain 75% CPU usage cores, and keep replication lag below 60 seconds. What are the correct steps to meet your requirements?

Show Suggested Answer Hide Answer
Suggested Answer: A

The Data Transfer appliance is a Google-provided hardware device that can be used to transfer large amounts of data from on-premises environments to Cloud Storage. It is suitable for scenarios where the bandwidth between the on-premises environment and Google Cloud is low or insufficient, and the data size is large. The Data Transfer appliance can minimize the time it takes to complete the migration, the overall cost and database load, by avoiding network bottlenecks and reducing bandwidth consumption. The Data Transfer appliance also encrypts the data at rest and in transit, ensuring data security and privacy. The other options are not optimal for this scenario, because they either require a high-bandwidth network connection (B, C, D), or incur additional costs and complexity (B, C). Reference:

https://cloud.google.com/data-transfer-appliance/docs/overview

https://cloud.google.com/blog/products/storage-data-transfer/introducing-storage-transfer-service-for-on-premises-data


by Yaeko at Jun 02, 2024, 07:53 AM

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Paz
9 months ago
I disagree, memcached isn't always the answer for CPU load.
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Tess
9 months ago
Wait, why would you change to a 32-core machine?
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Shawnee
10 months ago
Sharding the database? Sounds complicated!
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Bernardine
10 months ago
I think option B is the best choice here.
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Sharee
10 months ago
Automatic storage increase is a must!
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Kati
10 months ago
I feel like deploying memcached could help with CPU load, but I’m not confident about the specifics of instance types and their impact on replication.
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Margarett
11 months ago
Sharding the database seems familiar, but I’m uncertain if it directly affects replication lag like the question suggests.
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Anastacia
11 months ago
I think we had a practice question about setting alerts for CPU usage, but I can't recall if changing the instance type was the right approach.
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Rozella
11 months ago
I remember we talked about enabling automatic storage increase, but I'm not sure if that's enough for CPU management.
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Art
11 months ago
The key is to focus on the specific requirements stated in the question. Option B seems to directly address the CPU and replication lag, so that might be the best approach.
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Zoila
11 months ago
I'm a bit unsure about the memcached part in options C and D. Does that really help with the CPU usage and replication lag?
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Rikki
11 months ago
I'm confident I can handle this. The steps in option A look like the right approach to meet all the requirements.
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Wenona
11 months ago
Okay, let me think this through step-by-step. Enabling automatic storage increase, monitoring CPU usage, and monitoring replication lag seem like the key things to address.
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Salena
11 months ago
This question seems straightforward, but I want to make sure I understand the requirements correctly before answering.
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Catarina
11 months ago
I've got a good strategy for this. I'll focus on understanding the key terms like "DBA" and "GPON network", then try to match the bandwidth types listed in the answers.
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Sherell
11 months ago
Okay, let me think this through. The question is asking about changing the fill pattern for walls in plan view, so it's probably related to the cut pattern or projection/surface pattern settings. I'll go with B to be safe.
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Elbert
11 months ago
Okay, I've got this. The key is that the question is asking about valid reasons for aggregating the performance test results. So the answer has to be something about how aggregated data is useful for stakeholders, either business or technical. I'll go with C.
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Louis
1 year ago
Option E: Throw the whole thing in the cloud and let the cloud gods handle it. No need to worry about scaling or monitoring when you have a strong faith in the cloud!
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Vesta
1 year ago
Option D looks good, but I'm not sure why you'd need to change the instance type to reduce replication lag if you're already monitoring it and can take action accordingly.
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Joanne
1 year ago
That's a good point. Maybe just increasing storage and deploying memcached would be enough to handle the load.
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Aliza
1 year ago
True, but maybe changing the instance type for replication lag is a bit redundant if we're already monitoring it.
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Kimberely
1 year ago
I think option D covers all the bases for scaling and maintaining performance.
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Lorrine
1 year ago
I'm a bit skeptical of Option C - deploying memcached might not be the best solution for reducing CPU load on a database. And changing the instance type to reduce replication lag seems like an odd approach.
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Whitley
1 year ago
Yeah, changing the instance type to reduce replication lag in Option C does seem like an unusual approach. Option A seems more straightforward.
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Leah
1 year ago
I'm not so sure about Option C either. Deploying memcached for reducing CPU load on a database does seem a bit unconventional.
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Kenda
1 year ago
I agree, Option A seems like the most practical solution to meet the requirements for scaling and maintaining performance.
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Georgiann
1 year ago
I think Option A is the best choice. Enabling automatic storage increase and setting up alerts for CPU and replication lag makes sense.
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Shanda
1 year ago
I like the simplicity of Option B. Increasing the instance type to a 32-core machine should handle the CPU and replication lag requirements. No need to overcomplicate things.
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Devorah
1 year ago
Option A seems to cover all the bases - automatic storage increase, CPU usage monitoring, and replication lag monitoring. Sharding the database is a nice touch to reduce replication time.
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Ettie
1 year ago
User 2
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Blair
1 year ago
User 1
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Alberto
1 year ago
I'm not sure, I think option C could also work. It addresses storage and CPU load.
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Kara
1 year ago
I agree with Cristen. Option D seems to cover all the requirements.
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Cristen
1 year ago
I think the correct steps are in option D.
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