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Google Professional Cloud Architect Exam - Topic 5 Question 112 Discussion

Actual exam question for Google's Professional Cloud Architect exam
Question #: 112
Topic #: 5
[All Professional Cloud Architect Questions]

For this question, refer to the Mountkirk Games case study.

Mountkirk Games wants to set up a real-time analytics platform for their new game. The new platform must meet their technical requirements. Which combination of Google technologies will meet all of their requirements?

Show Suggested Answer Hide Answer
Suggested Answer: B

A real time requires Stream / Messaging so Pub/Sub, Analytics by Big Query.

Ingest millions of streaming events per second from anywhere in the world with Cloud Pub/Sub, powered by Google's unique, high-speed private network. Process the streams with Cloud Dataflow to ensure reliable, exactly-once, low-latency data transformation. Stream the transformed data into BigQuery, the cloud-native data warehousing service, for immediate analysis via SQL or popular visualization tools.

From scenario: They plan to deploy the game's backend on Google Compute Engine so they can capture streaming metrics, run intensive analytics.

Requirements for Game Analytics Platform

Dynamically scale up or down based on game activity

Process incoming data on the fly directly from the game servers

Process data that arrives late because of slow mobile networks

Allow SQL queries to access at least 10 TB of historical data

Process files that are regularly uploaded by users' mobile devices

Use only fully managed services


Contribute your Thoughts:

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Carmela
7 hours ago
I disagree, I’d go with option A.
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Iraida
5 days ago
I think option B is the best choice!
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Fausto
11 days ago
Forget the exam, I'm just here for the Mountkirk Games case study. Sounds like a wild ride!
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Cecily
16 days ago
I heard Mountkirk Games is hiring a "Cloud Whisperer" to communicate with their technologies.
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Vallie
21 days ago
I'll just go with the answer that has the most "Cloud" in it. B) it is!
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Kathrine
26 days ago
B) is the way to go. Can't go wrong with BigQuery!
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Shaniqua
1 month ago
Hmm, I'm not sure. D) also looks promising.
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Tijuana
1 month ago
I agree, B) seems to cover all the requirements.
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Brock
1 month ago
I vaguely remember that Cloud Storage is often used for data lakes, but I'm not sure if it's the best fit here.
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Timothy
2 months ago
I think Cloud SQL is important for structured data, but I can't recall if it's necessary for real-time analytics.
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Gretchen
2 months ago
I'm not entirely sure, but I feel like Cloud Dataflow might be the key for analytics. It was highlighted in a similar practice question we did.
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Aimee
2 months ago
This is a tough one, but I'm going to give it my best shot. I'll make sure to read the question carefully, review the case study details, and then systematically evaluate each option before making my choice.
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Clare
2 months ago
I remember we discussed the importance of real-time data processing, so I think options with Cloud Pub/Sub are crucial.
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Karrie
2 months ago
B) looks like the best option to me.
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Minna
2 months ago
I'm feeling pretty confident about this one. The case study provides a lot of useful context, and I'm familiar with most of the Google technologies listed. I'll just need to double-check that the combination I choose meets all the requirements.
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Mi
3 months ago
Option C seems solid too, but I’m not sure about Cloud Storage.
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Tayna
3 months ago
Okay, I think I've got a strategy here. I'll start by identifying the key technical requirements, then match those up with the capabilities of each Google service. That should help me narrow down the options.
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Audra
3 months ago
Hmm, I'm a bit confused by all the different Google services mentioned. I'll need to make sure I understand what each one does before I can decide which combination is the right fit.
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Ronald
3 months ago
This looks like a tricky one. I'll need to carefully review the Mountkirk Games case study and the technical requirements to determine the best combination of Google technologies.
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