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[FREE] Google Cloud Professional Cloud Architect LATEST CASE STUDIES

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[FREE] Google Cloud Professional Cloud Architect LATEST CASE STUDIES

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Overview
Curriculum
Last updated 11/2024

 

[FREE] Google Cloud Professional Cloud Architect LATEST CASE STUDIES.

 

1. Helicopter Racing League

2. TerramEarth

3. Mountkirk Games

4. EHR Healthcare

 

GCP PCA Google Cloud Professional Cloud Architect FREE Case Studies Practice Exam & Test Questions | Google Cloud Platform Certification Course | ALL Latest Case Studies Questions Covered | Exam Guide | Official Latest Exams Syllabus Practice Tests | Detailed Solution Explanations + Reference Links

 

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Keywords: google cloud professional cloud architect, helicopter racing league case study solution, terramearth case study questions, mountkirk games case study questions, ehr healthcare case study gcp questions

Curriculum

  • 6 Sections
  • 63 Lessons
  • 0m Duration
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Welcome
2 Lessons
  1. we're excited you're here :)
  2. Case Study Description
EHR Healthcare
11 Lessons
  1. EHR Healthcare case study. The EHR sales team comprises remote employees who frequently travel to various locations for their work.
  2. EHR Healthcare case study. You are the lead cloud architect at EHR.
  3. EHR Healthcare case study. Previously, misconfigurations led to public IP addresses being assigned to backend servers, making them accessible from the Internet unintentionally.
  4. EHR Healthcare case study. You are migrating one of the public-facing applications of EHR to GCP.
  5. EHR Healthcare case study. EHR wants to implement a hybrid strategy by connecting its Data Center to GCP.
  6. EHR Healthcare case study. You have a privacy compliance audit coming up.
  7. EHR Healthcare case study. As a member of the EHR customer portal development team, you've overseen the recent migration of the customer portal application to Google Cloud.
  8. EHR Healthcare case study. One of EHR's healthcare clients is a prestigious global research institution and hospital.
  9. EHR Healthcare case study. You must enhance the EHR connection to adhere to their specifications.
  10. EHR Healthcare case study. You are tasked with designing the technical architecture for hybrid connectivity between EHR's on-premises systems and Google Cloud, aligning with Google's recommended practices for production-level applications, considering the specific requirements of EHR Healthcare.
  11. EHR Healthcare case study. You are the lead Cloud Architect at EHR.
Helicopter Racing League
7 Lessons
  1. Helicopter Racing League (HRL) case study. The HRL development team updates its predictive capability application every Tuesday at 3 a.m. UTC.
  2. Helicopter Racing League (HRL) case study. What Google Cloud AI Platform product should HRL use to better predict the accuracy of their ML prediction models and interpret and understand the predictions?
  3. Helicopter Racing League (HRL) case study. Following a recent finance audit of cloud infrastructure, it was observed that a significantly large number of Compute Engine instances are assigned to perform video encoding and transcoding tasks.
  4. Helicopter Racing League (HRL) case study. HRL has recently launched a new racing league in Cape Town, South Africa.
  5. Helicopter Racing League (HRL) case study. As an independent Cloud Architect, tasked by HRL, your objective is to facilitate the delivery of existing recorded video content to new audiences in emerging regions.
  6. Helicopter Racing League (HRL) case study. Your team is tasked with establishing a secure system for storing payment card information.
  7. Helicopter Racing League (HRL) case study. HRL seeks a budget-friendly strategy to store its race-related data, including telemetry.
Mountkirk Games
24 Lessons
  1. Mountkirk Games case study. You are designing the testing strategy for one of the services.
  2. Mountkirk Games case study. You have deployed a new backend service to Google Cloud Platform (GCP).
  3. Mountkirk Games case study. You noticed that the gaming servers are not auto-scaling properly.
  4. Mountkirk Games case study. How can you design a method for testing the analytics platform's resilience when network latency changes?
  5. Mountkirk Games case study. Mountkirk Games intends to transition from its existing analytics and statistics reporting system to align with its technical specifications using the Google Cloud Platform.
  6. Mountkirk Games case study. How can you ensure the isolation of development environments from staging and production while enabling developers and testers to access each other's resources, and allowing staging to access certain production services?
  7. Mountkirk Games case study. Which 2 steps should you take to ensure that Mountkirk Games’ design of their solution can be futuristic and it can take advantage of cloud and technology improvements as they become available?
  8. Mountkirk Games case study. To enhance batch file transfers into Cloud Storage for Mountkirk Games' latest Google Cloud solution, focusing on optimizing the process for game statistics staging and subsequent processing via an extract transform load (ETL) tool, which approach should you take?
  9. Mountkirk Games case study. To implement a network ingress for a new game aligning with Mountkirk Games' requirements for regional game instances to be available across multiple Google Cloud regions, which approach should you take?
  10. Mountkirk Games case study. As the overseer of the new Game Backend Platform architecture, with the game interfacing via a REST API, adhering to Google's recommended practices is paramount.
  11. Mountkirk Games case study. To ensure efficient and cost-effective testing of your new mobile game app across Android and iOS devices with various configurations, what approach should you take?
  12. Mountkirk Games case study. To secure connectivity from the new gaming application platform to Google Cloud, while streamlining the process and adhering to Google-recommended practices, what steps should you take?
  13. Mountkirk Games case study. Mountkirk Games wants to ensure that its new gaming platform operates according to Google's best practices.
  14. Mountkirk Games case study. You want to choose a managed storage option for storing game activity in a time series database service.
  15. Mountkirk Games case study. To fulfill Mountkirk Games' requirements, it's necessary to set up Virtual Private Cloud (VPC) Service Controls.
  16. Mountkirk Games case study. Based on Mountkirk Games’ business and technical requirements, how can you analyze and define the technical architecture for the compute workloads for your company?
  17. Mountkirk Games case study. Considering the technical requirements of Mountkirk Games, how can you analyze and define the technical architecture for the database workloads for your company?
  18. Mountkirk Games case study. You are a Site Reliability Engineer at Mountkirk Games.
  19. Mountkirk Games case study. As you implement Firestore for Mountkirk Games, to grant a new game programmatic access to a legacy game's Firestore database while ensuring restricted access, what steps should you take?
  20. Mountkirk Games case study. As the Chief Information officer at Mountkirk Games, your responsibility is to safeguard customers' personally identifiable information (PII).
  21. Mountkirk Games case study. Your development teams consistently deploy fresh iterations of games operating on Google Kubernetes Engine (GKE) every day.
  22. Mountkirk Games case study. You are designing a CI/CD pipeline for several microservices at Mountkirk Games.
  23. Mountkirk Games case study. Which set of Google technologies would satisfy all the requirements of Mountkirk Games for setting up a real-time analytics platform for their new game?
  24. Mountkirk Games case study. To fulfill Mountkirk Games' objective of restricting the physical location of resources to their designated Google Cloud regions, what steps should you take?
TerramEarth
18 Lessons
  1. TerramEarth case study. Your company aims to link all 20 million vehicles in operation to the cloud.
  2. TerramEarth case study. TerramEarth possesses approximately 1 petabyte (PB) of vehicle testing data stored within a private data center.
  3. TerramEarth case study. You are the lead architect at TerramEarth.
  4. TerramEarth case study. You are the lead cloud architect at TerramEarth.
  5. TerramEarth case study. TerramEarth has a legacy web application that cannot be migrated to the cloud.
  6. TerramEarth case study. you've decomposed a legacy monolithic application into several containerized RESTful microservices.
  7. TerramEarth case study. As the Chief Data Officer at TerramEarth, your responsibility is to ensure the safeguarding of customers' personally identifiable information (PII), such as credit card details.
  8. TerramEarth case study. After analyzing TerramEarth's business need to diminish downtime, it was revealed that a substantial portion of time-saving could be attained by lessening customer wait times for parts.
  9. TerramEarth case study. Your agricultural division is exploring fully autonomous vehicles, and you aim for an architecture that prioritizes robust security during vehicle operation.
  10. TerramEarth case study. TerramEarth has outfitted all connected trucks with servers and sensors to gather telemetry data.
  11. TerramEarth case study. To expedite data retrieval and enhance reliability while minimizing data transfer time over cellular connections, considering the error-prone nature of the current FTP process, which approach should you take?
  12. TerramEarth case study. You are in the process of developing a microservice-based application for TerramEarth using Docker containers.
  13. TerramEarth case study. TerramEarth's fleet of 20 million vehicles is globally distributed.
  14. TerramEarth case study. As you embark on developing a new application utilizing several Cloud Functions for the backend, you encounter a scenario where one function, func_display, needs to call another function, func_query.
  15. [IMAGE] TerramEarth case study. TerramEarth's Chief Technology Officer (CTO) aims to leverage raw data from connected vehicles to predict potential catastrophic failures.
  16. TerramEarth case study. Your development team has crafted a structured API for accessing vehicle data and intends to enable third-party developers to create dealership tools utilizing this data.
  17. TerramEarth case study. You're in the process of transferring a Linux-based application from your private data center to Google Cloud.
  18. TerramEarth case study. To enhance the operational efficiency of TerramEarth's fleet, each vehicle's operational parameters, such as oil pressure, are adjustable to optimize performance based on environmental conditions.
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