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Google Professional Cloud Developer Exam - Topic 4 Question 20 Discussion

You are building a new API. You want to minimize the cost of storing and reduce the latency of servingimages.Which architecture should you use?
B) Compute Engine backed by Persistent Disk
A) App Engine backed by Cloud Storage
C) Transfer Appliance backed by Cloud Filestore
D) Cloud Content Delivery Network (CDN) backed by Cloud Storage

Google Professional Cloud Developer Exam - Topic 4 Question 20 Discussion

Actual exam question for Google's Professional Cloud Developer exam
Question #: 20
Topic #: 4
[All Professional Cloud Developer Questions]

You are building a new API. You want to minimize the cost of storing and reduce the latency of serving

images.

Which architecture should you use?

Show Suggested Answer Hide Answer
Suggested Answer: B

by Levi at May 07, 2022, 09:48 AM

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Rhea
7 months ago
Totally agree with D, it's the best option!
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Kenneth
7 months ago
Wait, isn't C a bit overkill for this?
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Miss
8 months ago
B seems too heavy for just serving images.
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Von
8 months ago
I think A is a solid choice too, especially for cost.
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Charolette
8 months ago
Definitely go with D, CDN is great for reducing latency!
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Alfred
8 months ago
I definitely recall that Cloud CDN is optimized for serving content quickly, but I wonder if it pairs well with Cloud Storage for cost efficiency.
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Chanel
8 months ago
I feel like Compute Engine might be overkill for just serving images, but I can't remember the details about its cost implications.
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Kanisha
8 months ago
I remember that using a CDN can really help with reducing latency for serving images, but I'm not sure if it's the best choice for minimizing storage costs.
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Ernest
8 months ago
I think App Engine with Cloud Storage was mentioned in a practice question, but I can't recall if it was specifically for images.
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Rossana
8 months ago
Okay, let's see. The key here is the late delivery clause in the contract. Since there are no defects, I don't think A or D are correct. I'm leaning towards B, the right of set-off, but I'll double-check the details to make sure.
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Katheryn
8 months ago
Okay, I think I've got this. The key is that attribute data are discrete, not continuous. So the examples given, like total number of patient falls and medication errors, fit the criteria for being plotted on u-charts. I'll select the best answer.
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