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Google Cloud Professional Cloud Architect

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Google Cloud Professional Cloud Architect

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Overview
Curriculum
Last updated 11/2024

 

Google Cloud Professional Cloud Architect.

 

  • 1-year course access
  • Detailed solution explanations + reference links
  • Questions as per the latest syllabus laid by the official certification team
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GCP PCA Google Cloud Professional Cloud Architect Practice Exam & Test Questions | Google Cloud Platform Certification Course | Official Latest Exams Syllabus Practice Tests | Case Studies and Exam Guide | Detailed Solution Explanations + Reference Links

 

Keywords: google cloud professional cloud architect, google cloud architect certification, google cloud architect, professional cloud architect, gcp professional cloud architect, google cloud architecture certification, gcp architect

Curriculum

  • 3 Sections
  • 212 Lessons
  • 0m Duration
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EXAM TIPS
1 Lesson
  1. README
QUESTIONS, ANSWERS, & SOLUTIONS
210 Lessons
  1. You are tasked with migrating 150 TB of log data from your on-premises server to Google Cloud to make use of its analytics features.
  2. You are working at a large retailer that has multiple E-commerce websites.
  3. You are working at a startup where your teammates have deployed a database server on Google Compute Engine but it is having performance issues.
  4. You are working at a major international bank that has a data set of 10 Petabytes which needs to be migrated to the cloud.
  5. You are running a production database on Compute Engine.
  6. Your company provides an API to edit PDF files.
  7. Your company has hired third-party auditors to review all GCP IAM policy changes during the whole year.
  8. You have a high availability configuration in your MySQL database but during peak time,  your database crashed but the replica was never promoted to a master.
  9. Your application uses a PostgreSQL database running in your on-premises data center.
  10. You have migrated some parts of your on-premises application to Google Cloud.
  11. Due to compliance reasons, your company needs to retain metrics from its applications for 5 years.
  12. You work at a large enterprise that has many different departments that use GCP.
  13. You have launched a new app, which is deployed on Compute Engine with an autoscaling instance group that serves web traffic.
  14. Your team is designing a new application and they have defined the following requirements.
  15. You have rolled out a new update for your application running on the app engine and you have received complaints from users that the application is taking very long to load after the update.
  16. You are building an enterprise-grade application on Compute Engine.
  17. Your application relies on a nightly batch process to aggregate data about usage patterns.
  18. You are part of the Devops team for a new application in your company and you believe that the current logging tool will be insufficient for the new product in the Cloud.
  19. You have 90 TB of files stored in the on-premises servers that you want to migrate to Cloud Storage.
  20. Your company has an application built on top of a standard LAMP stack, which is replicated across two zones in the us-central1 region.
  21. You are experimenting with Google Kubernetes Engine.
  22. Several teams in your company are using the Google Cloud Platform.
  23. Your company’s product is a real-time weather-charting application.
  24. You are working at a startup that is exploring GCP.
  25. Your team has implemented a disaster recovery plan by replicating one of the critical production MySQL databases from the on-premises data center to GCP using a Google Cloud VPN connection.
  26. You are working at a logistics company that is using BigQuery as its data warehouse.
  27. You've created an application on Cloud ML Engine for identifying famous paintings in uploaded images.
  28. You are working at a major payment gateway provider.
  29. You have VMs running on both your on-premises data center and Google Compute Engine.
  30. You are working at a logistics company that has applications running in on-premises data centers.
  31. You are leading a new cost-saving initiative at your company to move developers’ environments from on-premises VMs to Google Cloud Platform.
  32. You are experimenting with Google App Engine.
  33. You have built a CI/CD workflow to deploy changes to source code to your infrastructure in instance groups for self-healing.
  34. Your team uses an in-house custom tool to deploy VMs in your on-premises data center.
  35. You are building a real-time chat feature in your social media platform.
  36. You are working at a logistics company where you are tasked with migrating an existing on-premises application to the Google Cloud Platform.
  37. You are running a customer-facing application in a Compute Engine managed instance group.
  38. You're tasked with ensuring your social media app complies with the European Union's GDPR.
  39. You are the CTO of a new-age startup.
  40. You're tasked with setting up Microsoft SQL Server on the Google Cloud Platform for a customer-facing productivity app, ensuring no downtime in case of a data center outage within a GCP region.
  41. [code] You are working at a news agency.
  42. You are the lead devops architect in your team and you are designing a CI/CD pipeline for one of your projects stored in a Git source repository.
  43. You have a J2EE application that you need to migrate to the Google Cloud Platform.
  44. You are exploring Kubernetes.
  45. You are promoting a new application from the development phase to Production.
  46. Your organization is in the process of adopting the Google Cloud Platform (GCP).
  47. Your web application has three tiers(web, API, and database).
  48. You are working at a large enterprise that is slowly moving its on-premises software to Google Cloud.
  49. You are experimenting with Python scripting to connect to Bigquery from Compute Engine.
  50. You are designing a social media platform using the microservices architecture.
  51. You have built a project management tool using microservices.
  52. You have built an internal tool to track support requests.
  53. You are building a note-taking application for your organization that is only going to be used by your employees during work hours.
  54. You are building a product for tracking meeting room usage.
  55. You have deployed a shipment tracking application on App Engine that stores data on Cloud Datastore.
  56. You have built a dynamic website on App Engine that uses Datastore as its database.
  57. You are migrating stored files in your on-premises servers to Google Cloud Storage.
  58. You are working at a large game studio that is building a real-time online multiplayer game.
  59. You are running an application using preemptible Linux virtual machines on Google Compute Engine.
  60. You are building a simple texting application using Python that has many dependencies and it requires 0.1 CPU cores and 128 MB of memory to work in production.
  61. You are working as a Cloud Architect for a major bank.
  62. You are part of the SRE team that manages Hadoop and Spark at your company.
  63. You are working at a large wholesale enterprise that has Microsoft Active Directory running on-premises that manages the identity of all users in the company.
  64. You have built an HRMS platform on Kubernetes Engine (GKE).
  65. You have built an E-commerce website that uses a Cloud SQL instance deployed in a specific zone.
  66. You have deployed the backend of your application on a Compute Engine Instance.
  67. Your team is exploring Docker for their new application.
  68. You are the lead SRE for a consumer-facing application.
  69. You have built a microservices-based application using multiple Compute Engine VM instances.
  70. You have built a trading application on Google Cloud that uses Cloud SQL as its primary database.
  71. Your team is building an online analytical processing (OLAP) marketing analytics and reporting tool for your organization.
  72. You have deployed the backend of your application on Google Kubernetes Engine as a deployment.
  73. You are working at a major bank.
  74. You have a microservices-based application running on several Compute Engine Instances in 2 different regions in a single VPC.
  75. You're tasked with crafting protocols to ensure the robustness of disaster recovery mechanisms for remote recovery utilizing GCP.
  76. You are working at a hi-tech firm that has a hybrid cloud microservices-based application with one of the services deployed on App Engine that connects to a database on-premises.
  77. You have built a hospital management system that is used across the country.
  78. You have built an application that will be used by big enterprises.
  79. Your finance team has asked for a breakdown of the number of BigQuery queries conducted by each user in the previous month.
  80. You manually deployed an application using a managed instance group.
  81. You are working at an E-commerce company that uses Google Analytics 360 to capture activity on their website and then the data is stored in BigQuery.
  82. You are leading the migration efforts for a large enterprise from on-premises to GCP.
  83. You are building a web application that will be deployed on Google Kubernetes Engine.
  84. You have a static website on a Compute Engine instance group.
  85. Your company monitors all on-premises VMs and you have tools that generate reports on the data.
  86. Your security team has mandated that all admin activity and VM system logs must be collected in a centralized location.
  87. You want to roll out a new update on your application running on App Engine.
  88. You have built an application that will be deployed on GKE.
  89. You have an application that requires load balancing based on the URL path.
  90. You have a photo-sharing application where the images are stored in Cloud Storage.
  91. You have a mission-critical application running on GCP.
  92. You have developed an open-source desktop application that can be downloaded from your company’s website.
  93. You are storing backup files of your apps on Cloud Storage.
  94. You have built a product that deals with patients’ health information in hospitals.
  95. You have deployed an application on App Engine Standard Environment that uses Cloud SQL as its database.
  96. You are working as a lead cloud architect at a major bank that has a hybrid cloud setup with some infrastructure on GCP and some on-premises.
  97. You have Linux RHEL 6.5+ VMs running in your on-premises VMWare environment which need to be migrated to GCP.
  98. You are building a stateful application to GCP.
  99. You are designing an application for managing construction projects.
  100. One of your services running on Compute Engine needs to communicate with an on-premises server using internal IPs.
  101. Your team is exploring Cloud Run for Anthos.
  102. You are part of the Cloud Platform Support team and you are tasked with monitoring Google Kubernetes Engine (GKE) clusters in a Cloud Monitoring workspace.
  103. You are building an application that will be used to perform financial transactions.
  104. Your company has a mobile app that is used to track the health data of individuals from ages 8 to 30.
  105. You have built a recommendation engine for news articles on the Google Cloud Platform.
  106. You are building an application on GCP.
  107. You have an app running on Compute Engines.
  108. You are building a disaster recovery system for your on-premises application on Google Cloud that will use Compute Engine and Cloud SQL.
  109. Your security team has mandated that instances on Google Cloud must not have public IP addresses unless approved by them.
  110. Your security team uses the Google Network Intelligence Center to get firewall insights.
  111. Your company has stored sensitive financial data in Cloud Storage.
  112. You have created a new instance template with the update that you want to release for an application running in a managed instance group.
  113. You are designing a new application on Compute Engine.
  114. You have deployed Active Directory in a VPC on GCP.
  115. Your company is merging with another company and you have to connect your Google Cloud environment with the other company’s data center.
  116. Your company is migrating its on-premises Hadoop jobs to GCP.
  117. You have three separate Compute Engines on three different VPCs in the same project in GCP.
  118. You are building a social media website on Google Cloud.
  119. You are developing an application for the stock market that will be available globally.
  120. You are migrating a Debian Linux VM to Compute Engine.
  121. You have deployed a customer-facing application on Google Kubernetes Engine (GKE).
  122. You have a stateful application that you want to migrate to Google Cloud.
  123. You are building an app that will be deployed on Kubernetes Engine.
  124. You are building an application on GCP that requires reliable task scheduling to function correctly.
  125. You have a microservices-based application running in Anthos clusters (formerly Anthos GKE).
  126. You are developing a microservices application that will be deployed on GKE.
  127. Your application is receiving complaints from users about performance issues.
  128. You are adding several internal microservices to an existing application in GKE.
  129. You are working at a large enterprise that uses Windows Servers in their on-premises data centers.
  130. An application running on Compute Engine instances contains sensitive data.
  131. You are building a web application with a few APIs that will be used by businesses to manage their inventory.
  132. Cloud Logging is the centralized logging solution for all your applications.
  133. You have multiple Compute Engine instances running in GCP, which don’t have a public IP address and there is no VPN connection between your on-premise network and your VPC.
  134. You have two folders under your Google Cloud Organization: Marketing and Finance.
  135. You are using GKE to develop a microservices-based web app.
  136. Your company has built a recommendation engine for news and blogging websites.
  137. You have a file-sharing application deployed in a traditional 3-tier architecture.
  138. You are the CTO of a startup that is planning to use GKE to deploy its new application.
  139. You have deployed an application on Kubernetes that reads Pub/Sub messages and sends them to Filestore.
  140. You are working at a finance company that has an application running on GCP.
  141. You are the tech lead at your company.
  142. You are designing a data lake on Google Cloud for your company.
  143. You are part of the Cloud Governance team responsible for your company.
  144. You are using GKE to run your application.
  145. You have a database running on-premises, whose size is 12 TB.
  146. You are working at a logistics company.
  147. You are planning to use BigQuery as a data warehouse to store sensitive data.
  148. You have sensitive data on Cloud Storage and you need to rotate encryption keys from time to time to ensure compliance.
  149. You need to deploy a GKE cluster for deploying your new application.
  150. You have a backend service running in the App Engine Standard environment.
  151. You have uploaded 100 GB of files on Cloud Storage.
  152. You have a customer-facing application running in Anthos clusters (formerly Anthos GKE).
  153. You have optimized VMs in your data center that you are migrating to GCP.
  154. You have hosted a MySQL instance on Compute Engine that is used by multiple applications to store data in their respective databases.
  155. You have a set of servers in your on-premises data center that are used throughout the day for running tests on a custom C++ application.
  156. You are building a chat application that requires Websockets and HTTP sessions that are not distributed across the servers.
  157. You are working at a finance company that has sensitive documents on Cloud Storage.
  158. You have hired external auditors to review your GCP activities.
  159. Your company uses Cloud Identity to manage users.
  160. You have created a new project in your GCP Organization.
  161. You want to create a replica of a VM running in the US-East region in GCP.
  162. You are developing a social media app that is going to be used by people from all over the world.
  163. You have a social media app running on App Engine.
  164. Your data warehousing team has external partners that provide data containing personally identifiable information (PII), that needs to be processed.
  165. You are deploying one service, which is part of a complete microservices-based application on GCP.
  166. Due to compliance reasons, the Cloud VPN logs must be stored in your company for one year.
  167. You are storing sensitive financial contract files on Cloud Storage.
  168. You are launching a new application on GCP using a managed instance group.
  169. Your operations team seeks assistance in storing logs exclusively from all production projects within your Organization, excluding logs from non-production projects.
  170. You have acquired a company that has its own Google Cloud Organization.
  171. You are running an application in GKE.
  172. You have a customer-facing web application running on Compute Engine.
  173. You have workloads running on GCP as well as on-premises.
  174. Your company has sensors in agriculture farms around the world that collect data about crop health, soil quality, weather, etc.
  175. You are designing the deployment architecture of a microservices-based application.
  176. Your development team has been instructed to use GCP instead of provisioning on-premises VMs.
  177. Some teams in your company have created GCP Projects outside your Google Cloud organization.
  178. You are deploying one service, which is part of a complete microservices-based application on GCP.
  179. You have an app running in a Google Kubernetes Engine (GKE) cluster in the us-central1 region.
  180. You are working at a legacy company that is migrating its applications from on-prem to GCP.
  181. Your financial services application runs on Compute Engine and it generates 1 TB of log data every day.
  182. To reduce costs, the Director of Engineering has required all developers to move their development infrastructure resources from on-premises virtual machines (VMs) to Google Cloud.
  183. You are developing a hospital management platform.
  184. You are part of the Cloud Platform Engineering team at your company and you need to use the gcloud CLI tool daily to manage BigQuery, Bigtable, and Kubernetes Engine in multiple projects.
  185. Your company’s data warehouse is BigQuery, being used on a pay-per-use basis.
  186. You are working at a retail company that is moving its applications to GCP.
  187. Your team is exploring a new load-testing tool to test the performance of one of your customer-facing applications that is deployed on Compute Engine and Bigtable as its database.
  188. You are developing a video streaming application on GCP using Compute Engine and Cloud Storage.
  189. You are running an application on Compute Engine.
  190. Your company is using BigQuery in a GCP project as their data warehouse.
  191. Your company is slowly adopting the Google Cloud Platform.
  192. You have 15 TB of data stored in a third-party provider’s object storage, which needs to be moved to Cloud Storage.
  193. You have 15 TB of files in your on-premises data center which you need to migrate to Cloud Storage.
  194. Your company is exploring the Google Cloud Platform.
  195. Your company uses BigQuery for data warehousing.
  196. Your application is configured to send all server events to Google Cloud Storage for eventual analysis.
  197. You are working at a cutting-edge startup and you need to respond to customer requests quickly to stay in business.
  198. You're facing performance challenges with a database server hosted on Compute Engine.
  199. You are working at a retail company that wants to roll out a promotional email campaign, while your development team wants to streamline operational management.
  200. All company applications operate within a GKE environment.
  201. You want to integrate your app with one of the applications of another company and you want to do it over private IP space.
  202. Your security team has asked you to devise a strategy to verify that application data is not tampered with.
  203. You are the lead SRE for deploying a 3-tier web application in a single Google Cloud Virtual Private Cloud (VPC).
  204. Your company wants to build a product that tracks whether someone has occupied a meeting room after they reserved it for a scheduled meeting.
  205. Your team is responsible for an application running in an autoscaling Compute Engine managed instance group.
  206. Your note-taking application is deployed in a Google Kubernetes Engine (GKE) cluster as a deployment.
  207. *You're using Cloud Composer to manage ETL pipelines.
  208. *You are leading the deployment of one of your applications to Google Kubernetes Engine (GKE).
  209. *As a startup, you need your application to adjust itself based on the various needs of the users.
  210. *Your team is trying to modernize a legacy application using Docker.
CASE STUDIES
1 Lesson
  1. Mountkirk Games | Helicopter Racing League | TerramEarth | EHR Healthcare

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