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Helicopter Racing League(HRL) - Case Study | Google Cloud Professional Cloud Architect(PCA) Exam 

The Cloud Pilot
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Hello everyone, welcome back to my channel, The Cloud Pilot. In this video, I'm going to share my proposed solution architecture for the Helicopter Racing League case study, an important case study for the Google Cloud Professional Cloud Architect(GCP PCA) Exam. While there could be many approaches towards the use cases, I have analyzed the requirements and mapped them to build this architecture. I believe this will be helpful for your preparation for your GCP PCA exam.
Case studies play a key role in the GCP PCA exam. It is guaranteed that you will not pass the exam unless you have a good knowledge of the cases. The distribution of the questions from the case studies will be uneven. So, you'll have to focus on all of these. The requirements will be provided even at the time of the exam. However, being familiar with the architecture will save you time to a huge extent.
You can find the document for the case study here: services.google.com/fh/files/...
For other case studies: • Case Studies - GCP Pro...
Contents
0:00 - Helicopter Racing League
0:32 - Company Overview
0:55 - Solution Concept
1:42 - Existing Technical Environment
3:01 - Business Requirements
3:54 - Technical Requirements
4:15 - Executive Statement
4:58 - Solution 1 Architecture
6:25 - Solution 2 Architecture
Please leave your questions and suggestions in the comments below. Let me know if I can improve on this. Feel free to put down your approach. Don't forget to like this video if you enjoyed watching this. Also, subscribe to my channel for more videos, and to stay updated.
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Tags: Google Cloud Professional Cloud Architect Exam, Google Cloud Professional Cloud Architect Certification, GCP PCA Exam, GCP PCA, Helicopter Racing League Case Study, Mountkirk Games Case Study, TerramEarth Case Study, EHR Healthcare Case Study, GCP Cloud Architect Exam
#thecloudpilot #gcpcertifications #pcacasestudy

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16 июл 2024

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Комментарии : 13   
@gauthamkumarvasupalli
@gauthamkumarvasupalli 8 месяцев назад
Solution 1 looks quite Feasible and using the GCP's best services in a right way.
@thecloudpilot
@thecloudpilot 8 месяцев назад
Glad to hear that!
@thecloudpilot
@thecloudpilot 2 года назад
Feel free to discuss your approach towards the solution.
@rajatswain9986
@rajatswain9986 Год назад
Amazing. Thank You
@thecloudpilot
@thecloudpilot Год назад
Glad to hear that!
@johnkennedy7110
@johnkennedy7110 2 месяца назад
@thecloudpilot, Can't we replace the GCE for encoding and transcoding with Cloud Functions?
@thecloudpilot
@thecloudpilot 2 месяца назад
Yes, that's also possible.
@bgroesser
@bgroesser 21 день назад
There was a recent case study that you don't want transcoding in functions. It is more effective to use vms. My company uses vms for video apps. They are just better for it.
@deeptinair1453
@deeptinair1453 7 месяцев назад
Hello Sir, in one of the other solutions someone has suggested APIGEE APi instead of your proposal vertex AIEndpoint to expose to partners, which one is better ot more suitable in your opinion, thank you
@thecloudpilot
@thecloudpilot 7 месяцев назад
I'd go for Vertex AI endpoints, given the fact that Vertex AI is a platform that is capable of running the AI workloads to the best. Besides, they are currently using Tensorflow, which is also supported on Vertex AI.
@deeptinair1453
@deeptinair1453 7 месяцев назад
Makes sense thank you, Tensorflow has also been a requirement
@deeptinair1453
@deeptinair1453 6 месяцев назад
For GCP professional cloud architect - what are your tips or topics we need to study. ?
@thecloudpilot
@thecloudpilot 6 месяцев назад
I have spoken that on a different video on my channel. Please have a look.
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