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Google Professional Cloud Architect Exam - Topic 4 Question 93 Discussion

Actual exam question for Google's Professional Cloud Architect exam
Question #: 93
Topic #: 4
[All Professional Cloud Architect Questions]

For this question, refer to the Dress4Win case study.

Dress4Win has asked you to recommend machine types they should deploy their application servers to. How should you proceed?

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Suggested Answer: D

https://cloud.google.com/storage/docs/gsutil/commands/hash


by Horace at Sep 18, 2024, 06:13 AM

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Jillian
6 days ago
Totally agree, monitoring is key!
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Jaime
12 days ago
I think option D makes the most sense for scaling.
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Jamal
18 days ago
Option D seems comprehensive since it involves identifying specific resources and scaling. I feel like that aligns with what we learned about performance monitoring.
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Maile
23 days ago
I practiced a similar question where we had to scale instances based on performance. Option C sounds familiar, but I wonder if starting small is always the best strategy.
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Pansy
28 days ago
I'm not entirely sure, but I think the RAM to CPU ratio is important for performance. Option B might be worth considering, but I need to double-check.
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Nana
1 month ago
I remember we talked about mapping on-premises resources to cloud types, so option A seems like a solid approach.
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Arleen
1 month ago
I'm a little confused by all the options. I think I'll need to review the Dress4Win case study again to make sure I understand the requirements before deciding. This one's not as straightforward as it seems.
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Aretha
1 month ago
I'm a bit unsure about this one. Should I focus on the RAM to CPU ratio or try to start small and scale up? Option B and C both sound reasonable.
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Ezekiel
1 month ago
Hmm, this seems like a straightforward question. I think I'll go with option A and map the on-premises hardware to the nearest cloud machine types.
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Carman
1 month ago
Okay, I've got a strategy here. I'll identify the VM specs and align them to a custom machine type, then monitor performance and scale up as needed. Option D seems like the way to go.
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Merrilee
2 months ago
Encapsulation is one of the core principles of OOP, so I feel confident about this question. Option A seems to capture the essence of encapsulation, which is about controlling access to the internal state of an object.
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Herman
6 months ago
Hmm, the Dress4Win case study, you say? I bet they could use some 'Dress4Success' machine types. Get it? Dress4Win? Dress4Success? I'll see myself out.
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Leslie
6 months ago
Option A - the ol' 'lift and shift' approach. Can't go wrong with that, right? It's the cloud equivalent of 'if it ain't broke, don't fix it'.
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Yolando
6 months ago
Option B is intriguing, but I'm not sure the highest RAM to CPU ratio is always the best choice. Gotta consider the application's specific needs.
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Georgene
5 months ago
D) Identify the number of virtual cores and RAM associated with the application server virtual machines align them to a custom machine type in the cloud, monitor performance, and scale the machine types up until the desired performance is reached.
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Han
5 months ago
C) Recommend that Dress4Win deploy into production with the smallest instances available, monitor them over time, and scale the machine type up until the desired performance is reached.
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Lai
5 months ago
A) Perform a mapping of the on-premises physical hardware cores and RAM to the nearest machine types in the cloud.
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Alaine
6 months ago
Option C is interesting - starting small and then scaling up as needed. I like the idea of monitoring the performance before making changes.
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Bok
6 months ago
I'm thinking Option D is the way to go. Identifying the specific resource requirements and then scaling up as needed is a more thoughtful approach.
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Ammie
5 months ago
User 3: Monitoring performance and scaling up as needed is definitely a smart approach for Dress4Win.
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Xochitl
5 months ago
User 2: It makes sense to align the virtual cores and RAM with a custom machine type for better scalability.
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Caitlin
5 months ago
User 1: I agree, Option D seems like a strategic way to ensure optimal performance.
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Valentin
7 months ago
Option A seems like the most straightforward approach. Mapping the on-premises hardware to the cloud instances makes a lot of sense to me.
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Dylan
6 months ago
User 3: Agreed. It's important to ensure we have the right resources in the cloud for optimal performance.
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Cathrine
6 months ago
User 2: That sounds like a good plan. It will help us choose the right machine types for our application servers.
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Theron
6 months ago
User 1: I think we should perform a mapping of the on-premises hardware to the cloud instances.
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Antonio
7 months ago
That's a valid point, but I still think starting with the smallest instances and scaling up gradually, as mentioned in option C, could be a more cost-effective strategy.
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Rolande
7 months ago
I disagree, I believe option D is the best approach as it allows for customization based on the application server's requirements.
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Antonio
7 months ago
I think option A makes sense because it ensures a smooth transition from on-premises to the cloud.
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