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Google Cloud Professional Cloud Developer

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Google Cloud Professional Cloud Developer

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Overview
Curriculum
Last updated 11/2024

 

Google Cloud Professional Cloud Developer.

 

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GCP PCD Google Cloud Professional Cloud Developer Practice Exam & Test Questions | Google Cloud Platform Certification Course | Official Latest Exams Syllabus Practice Tests | Exam Guide | Detailed Solution Explanations + Reference Links

 

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Curriculum

  • 2 Sections
  • 301 Lessons
  • 0m Duration
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EXAM TIPS
1 Lesson
  1. README
QUESTIONS, ANSWERS, & SOLUTIONS
300 Lessons
  1. You have deployed an application on GCP.
  2. You are tasked with re-designing a legacy application that is built using the monolithic architecture.
  3. You are working as a Devops Engineer at a global retailer.
  4. You are overseeing a data migration initiative from on-premises to GCP.
  5. Your new API for managing partnership accounts is hosted on Compute Engine.
  6. You are planning to release a new update to one of your applications on GCP.
  7. You work as a Cloud Developer at a retail company where an internal travel expenses management application stores its data in a BigQuery dataset named "Travel," organized by the employee department.
  8. You are building a social media app.
  9. You are migrating one of your application’s microservices to GCP.
  10. Your company specializes in developing APIs for technical tools utilized by developers in their applications.
  11. You have chosen Compute Engine to deploy one of your new applications, which is configured to write log files to disk.
  12. You work at a pharmaceutical company where your team utilizes Cloud Build to construct and push Docker images to the Container Registry.
  13. [code] You used the following script to deploy an HTTP(s) LoadBalancer.
  14. You are reviewing your teammate’s code to efficiently add a large number of small rows to a BigQuery table.
  15. You are leading the incident response team at your company.
  16. Which monitoring technique should you choose to be alerted when your application, deployed on Compute Engine via a managed instance group and accessed through an HTTP(s) load balancer, becomes unavailable? (Stackdriver is now called 'Google Cloud Operations Suite')
  17. [code] Your application operates within a Google Kubernetes Engine (GKE) cluster.
  18. As the Cloud Engineer on your team, you intend to leverage Cloud Build to construct a Docker image for your application.
  19. You are leading the deployment of one of your applications to Google Kubernetes Engine (GKE).
  20. You're conducting load testing on your server application.
  21. You're a lead developer at a tech company crafting a single-page web app with a UI linked to a third-party API via XMLHttpRequest.
  22. You have a Cloud Function deployed in a GCP Project named project-1.
  23. You have a photo-sharing application that uses Cloud Storage to store and serve images.
  24. You've deployed your company's E-commerce website on GKE using a multi-cluster setup.
  25. Your company, primarily operating in the United States, is expanding globally with one of its popular E-commerce sites.
  26. You are working at a large enterprise that has files in on-premise VMs that need to be migrated to Cloud Storage for consumption by Cloud DataProc Hadoop clusters in GCP.
  27. You're developing an application for deployment on Compute Engine using a managed instance group.
  28. You are working as the database architect for your company’s accounting application.
  29. You have a web application running in GCP.
  30. You work at an E-commerce company with a BigQuery data mart serving analytics to various teams within the organization.
  31. You work for a global logistics firm planning to move a MySQL database to Google Cloud's managed Cloud SQL service.
  32. Your team has built a new app and you deployed it to the App Engine Standard environment.
  33. Your application code is stored in Cloud Source Repositories.
  34. You are building a file-sharing app that uses the user’s Google Drive to store files.
  35. You are working at an E-commerce company.
  36. You are tasked with building a GKE cluster to support one of your flagship applications.
  37. You have an application deployed on Compute Engine.
  38. As a database architect at a large enterprise, you're tasked with designing a schema for a Cloud Spanner customer database.
  39. You are tasked with deploying your company’s website on http://algo-textiles.com.
  40. You have developed a custom machine image packaging your application and deployed it across multiple instances.
  41. Your security team wants to analyze your application running on App Engine for insecure binaries and XSS attack vulnerabilities.
  42. Your team is building a social media app that will be used to share images.
  43. Your company recently managed a large application to Google Cloud but they are still using the same monitoring platform to monitor the application.
  44. As the lead cloud engineer for one of your company's flagship projects, you're utilizing Cloud Build to generate a new Docker image with each source code commit to a Cloud Source Repositories repository.
  45. You have installed Stackdriver Logging Agent in one of your VMs to send your application's log file to Stackdriver.
  46. You have deployed your new application on Google Kubernetes Engine (GKE).
  47. You have deployed an application on Compute Engine.
  48. You are building a Mobile application for both Android and iOS platforms.
  49. You are working as a developer in a finance company.
  50. You have deployed your application on App Engine.
  51. You work at an e-commerce company with a data warehouse storing application data in BigQuery, totaling 2 PBs of user data.
  52. You have deployed an application on the App Engine standard environment using the following configuration.
  53. You're encountering permission errors from the BigQuery CLI during query execution within your analytics system.
  54. You have deployed your application on Compute Engine.
  55. You have multiple apps running on a GKE cluster.
  56. As the lead architect responsible for deploying one of your company's new applications on the Google Kubernetes Engine (GKE) cluster, you require a solution that enables horizontal scaling while ensuring each instance of your application possesses a stable network identity and its dedicated persistent disk.
  57. You have built an application in Python that uses the Bigquery API to query one of your tables in BigQuery to generate analytics.
  58. Your application utilizes Cloud Storage for storing files uploaded by users.
  59. You have built a Cloud Build pipeline to deploy your application using Docker to various environments like Development, Test, and Production.
  60. You have developed an application that uses Cloud Spanner as its database.
  61. You are working at a company that builds HRMS software.
  62. You're developing a social media app where user input gets published to their contacts.
  63. You have built a microservices-based application that is deployed on multiple cloud providers.
  64. You have deployed an application on GCP.
  65. You're migrating an application from an Apache/MySQL/PHP stack on a single VM to GKE, aiming to follow Google-recommended best practices for availability.
  66. As an SRE team member at a large enterprise, you are developing an application that will be deployed to Compute Engine instances across multiple projects, each corresponding to different stages of your software development process.
  67. You are developing an application that relies on Pub/Sub to publish messages that are consumed by your application.
  68. You have an application hosted on Compute Engine in a GCP project named project-1.
  69. Your application reads messages from a Pub/Sub topic and stores the data in a database.
  70. You work for a web development team at a small startup.
  71. Your team has developed a user-facing application on GCP.
  72. You are working as a lead Cloud Architect at a large organization.
  73. You built a Cloud Function that calls GCP APIs to manage resources in the project.
  74. As the lead DevOps engineer overseeing the deployment of multiple packaged and in-house applications on a Linux-based Compute Engine instance, you aim to redirect the log records written as text in local files to Cloud Logging.
  75. You are developing a social media website that will be deployed on GKE.
  76. You have built a SaaS service to create dedicated environments for each customer in your GKE cluster.
  77. You have built a user-facing application for sharing files that uses the Cloud Storage API to work with the files.
  78. You're a cloud architect responsible for migrating an application from Compute Engine to Google Kubernetes Engine.
  79. You're developing an application for your company's staff to manage projects.
  80. You're planning a new release for your web application on App Engine.
  81. Your team is developing a website to be hosted on Compute Engine, accessible via HTTP and HTTPS.
  82. You are the lead engineer in a team that is building accounting software.
  83. You aim to generate fully baked or golden Compute Engine images for your application, ensuring it connects to the correct database based on the environment (test, staging, production).
  84. Your company utilizes Cloud Source Repositories as the version control system and aims to build and test code with each source code commit, seeking a managed solution with minimal operational overhead.
  85. You are developing a B2B portal that will be deployed on Compute Engine and use Cloud SQL as its database.
  86. You work at a large enterprise, and your security team has outlined guidelines for managing service account credentials on GCP.
  87. You possess two tables within an ANSI-SQL compliant database, both sporting identical columns.
  88. Your team is developing a microservices-based application deployed on Google Kubernetes Engine (GKE).
  89. You recently migrated a monolithic application to Google Cloud by breaking it down into microservices.
  90. You've deployed an application on a Compute Engine instance group and configured it to automatically scale based on overall CPU usage.
  91. You are developing a blogging website.
  92. Your application is deployed on a Compute Engine instance with only a private IP address.
  93. You work at a retail company where migrating Hadoop clusters from on-premises data centers to GCP is a priority.
  94. You've deployed an application on a Compute Engine managed instance group.
  95. You developed a new release package for your application using Hashicorp Packer, which will be used as an image in Compute Engine.
  96. You're building a microservices application on Compute Engine.
  97. You're developing an ecommerce website where users can log in, add items to their shopping cart, and automatically log out after 30 minutes of inactivity.
  98. You are a Site Reliability Engineer responsible for managing a GKE cluster used by multiple teams in your company.
  99. You're designing a new application adhering to the latest design best practices, with the following requirements.
  100. You have deployed your latest application on a Google Kubernetes Engine (GKE) cluster.
  101. You're working as a DevOps Engineer and have containerized a legacy application that stores its configuration on an NFS share.
  102. Your company website is a simple static site built with plain HTML, CSS, Javascript, and images.
  103. Your team is developing a new application that will be deployed on Cloud Run.
  104. You are developing an internal portal on Compute Engine that is only supposed to be used by the finance department in your company.
  105. You have an existing monolithic application that needs to be converted to microservices.
  106. You've deployed a new application to Google Kubernetes Engine and are encountering performance issues.
  107. As a Cloud Architect at a large enterprise, you're tasked with planning the migration of the company's on-premises application to Google Cloud.
  108. You are building an app to manage to-do lists.
  109. You are developing an internal application for the employees of your company.
  110. You are working at a retail company that is evaluating developer tools that work with GKE.
  111. You have built an application using App Engine and Memorystore for Redis.
  112. Your company is evaluating data processing solutions on GCP using Cloud Functions.
  113. While trying to deploy a new application on multiple Compute Engine instances, you find that one of the instances failed to launch.
  114. You built an app using Javascript for cleaning unnecessary files from users’ Google Drive.
  115. You are working as a DevOps Engineer, responsible for planning the release of a new version of your application deployed on Google Kubernetes Engine.
  116. You are leading the migration of one of your company’s internal applications that was hosted on the corporate intranet.
  117. You have an application with an HTTP Cloud Function responsible for processing user activity from desktop browsers and mobile application clients.
  118. You have built a Cloud Function that processes some data that is provided as data in a POST request.
  119. You're building a new stateless web app that will be deployed to GCP.
  120. You are working at a company that does security audits at large enterprises.
  121. Your company has migrated some of their applications to Google Cloud but they have not migrated their monitoring system yet.
  122. You oversee an ecommerce application handling customer purchases, which may be subsequently canceled or modified by customers.
  123. You are looking for a Database solution for a new application that can store customer purchase history and is suitable for the following requirements.
  124. You have multiple applications running on Google Kubernetes Engine (GKE).
  125. You have an application deployed on Cloud Run, which authenticates via a custom service and writes transactional data to a Cloud Spanner database.
  126. You have built a CI/CD pipeline on Cloud Build that performs various tasks, including the transfer of specific files to Compute Engine virtual machines.
  127. You plan to utilize multiple open-source operating systems in Docker builds for a new microservices-based application.
  128. You built a Cloud Build pipeline to automate the deployment of new container images to Google Kubernetes Engine (GKE).
  129. You're in the process of developing a data processing solution on Google Cloud to handle messages from a Pub/Sub topic and subsequently store them.
  130. You are facilitating an audit of your Cloud Services.
  131. You have a stateless application running in a Google Kubernetes Engine (GKE) cluster.
  132. You are supervising a microservices-based application operating on Compute Engine.
  133. You're employed as a Cloud Developer at a logistics firm, tasked with maintaining a legacy .NET application.
  134. You're attempting to deploy an application on Compute Engine but encounter an issue where the instance fails to boot up properly due to a typing error in one of the low-level configuration files.
  135. Your team is gearing up to introduce a new release for their SAAS application, currently hosted on Google Kubernetes Engine.
  136. You are reviewing an architecture for streaming data from thousands of devices.
  137. You are working at a logistics company where a shipment tracking application operates on Google Kubernetes Engine, with container images stored in the Container Registry.
  138. You encounter an issue where requests from your on-premises application to access objects in a Cloud Storage bucket are consistently resulting in a 403 Permission Denied error code.
  139. You're developing a website where users can download a file for a specific time period.
  140. You're developing a mobile application intended to store hierarchical data structures in a database, with offline functionality for syncing changes once users regain connectivity.
  141. You have an application that stores user-uploaded files to Cloud Storage.
  142. Your company requires that each source file include a copyright comment at the top, and you aim to create a custom step in Cloud Build triggered by each source commit.
  143. As a Cloud Consultant nearing the completion of migrating an on-premises data center to Google Cloud, you encounter a web API running on a server scheduled for decommissioning.
  144. You have multiple applications running in GKE.
  145. You oversee the payment system of your company's ecommerce platform, operated on Google Cloud.
  146. Your security team requires that all data stored in Google Cloud be encrypted using customer-managed encryption keys.
  147. You have been assigned the responsibility of transferring a standalone Java application from an on-premises Linux virtual machine (VM) to Google Cloud in a cost-effective manner.
  148. You are managing a Java-based Cloud Function, and your team has developed integration and service tests for the application intended to run within a Cloud Build pipeline.
  149. You are in the process of migrating an application from on-premises to GKE.
  150. You're in the process of developing a REST API intended for deployment on Compute Engine.
  151. You are working at a game development firm currently building a novel single-player mobile game, anticipating fluctuating traffic volumes with users engaging throughout the day and night.
  152. You're building a microservices-based application wherein each microservice possesses its RESTful API and will be deployed individually as a distinct Kubernetes Service.
  153. You've developed a customer-facing application on the Google Cloud Platform.
  154. You are working in the Cloud Governance team at a large enterprise.
  155. As an application architect designing a microservices-based application intended for deployment both in the cloud and on-premises, with a focus on scalability and leveraging managed services, what approach do you recommend?
  156. You are building an application that uses the Go programming language and Cloud Spanner as its database.
  157. You are working at an E-commerce company that wants to expand their business to Europe.
  158. You have an application running on a Google Kubernetes Engine (GKE) cluster.
  159. You have a website running in a managed instance group (MIG) in multiple zones.
  160. You are building a multiplayer game on GKE that will have hundreds of microservices.
  161. You are building an application for internal use by your company that stores and accesses unstructured data in a Cloud Storage bucket.
  162. You are working as a technical support engineer for a customer-facing application.
  163. You're employed as a Site Reliability Engineer (SRE) for a major corporation.
  164. You have a container running in your on-premises environment on Knative.
  165. Recently, one of the GCP’s zones went offline due to a natural disaster.
  166. You are working on a microservices-based application with a distributed architecture.
  167. You're developing a web scraping tool to retrieve news articles from various websites.
  168. You have built an application that processes messages received from Pub/Sub.
  169. You have a web application running in GKE.
  170. As a DevOps Engineer managing an application deployed in Google Kubernetes Engine (GKE) responsible for reading and processing Pub/Sub messages.
  171. You have built a social media platform on GCP.
  172. You have hosted your web application on Cloud Run.
  173. You plan to utilize Terraform for deploying infrastructure on Google Cloud utilizing a service account.
  174. Your application generates a large amount of log data that is stored in Cloud Logging.
  175. You have built a solution that relies on metadata stored in objects located in Cloud Storage Buckets.
  176. You have a live multiplayer game deployed on Google Kubernetes Engine, expecting unpredictable traffic patterns and large variations in concurrent users.
  177. You are employed at a rapidly expanding startup with a financial services application written in Go, hosted on Cloud Run in the Singapore region (asia-southeast1).
  178. You've developed a static website intended for global usage, and now you need to configure the storage and serving components.
  179. You are leading an initiative at your company to re-platform legacy applications onto Google Kubernetes Engine.
  180. You have an application deployed in GCP that uses Cloud Spanner as its database.
  181. You have an application written in Go deployed on a GKE cluster.
  182. You're a developer tasked with constructing a component for an internal application dedicated to payroll processing.
  183. You have an application running in a GKE cluster that needs to be accessed by another application.
  184. Your application uses OpenTelemetry, and you want to measure the latency of your application requests on the Google Cloud Platform using Trace.
  185. You are using Cloud Shell to connect to your Google Kubernetes Engine (GKE) cluster.
  186. You've developed a web application utilizing Cloud Storage to store images, accessible only to users authorized to view their images.
  187. You plan to deploy an app on GKE.
  188. You are deploying an API that has the following endpoints.
  189. You have a microservices-based application to deploy in Google Kubernetes Engine (GKE), receiving daily updates.
  190. You're part of a large enterprise developing a Go application deployed on a Google Kubernetes Engine (GKE) cluster.
  191. You are setting up a build pipeline for an application destined for Google Kubernetes Engine (GKE), with a strict requirement for only pipeline-produced images to be deployed to your GKE cluster.
  192. You have a Python backend application operating in Cloud Run, necessitating the ability to read and write data stored in a Cloud Storage bucket within the same project.
  193. As a Cloud Developer responsible for deploying a new internet-facing microservices application to Google Kubernetes Engine (GKE) and implementing A/B testing, you have specific deployment requirements.
  194. You are tasked with developing unit tests for Cloud Function code stored in a Cloud Source Repositories repository.
  195. You're overseeing the performance of your application on Cloud Run and notice a sudden increase in errors.
  196. You have a microservices-based application operational on Google Kubernetes Engine (GKE) with Istio installed in the cluster.
  197. You're building a Java web app that taps into Google Cloud services via its API, leveraging users' Google Cloud identities for authentication.
  198. You are the lead architect at a startup that is designing a chat application with multiple rooms.
  199. You are part of the data security team at your company that is auditing a web application on Google Kubernetes Engine.
  200. You're a DevOps Engineer at a large company, and your application is currently running on Google Kubernetes Engine (GKE), with logs being output to standard output using a logging library.
  201. Your company is gearing up to expand its ecommerce website globally, but currently, it operates within a specific region.
  202. You have a Go application running in Google Kubernetes Engine which is experiencing an increase in CPU and memory utilization.
  203. You are a devops engineer working for a startup.
  204. You have an ecommerce site running behind a global HTTP(S) load balancer.
  205. You are planning a new release for your existing application running as a deployment in GKE.
  206. You are working at a major bank.
  207. You are working as a Devops engineer for a large organization.
  208. You are constructing an application that transfers logs to Cloud Storage daily.
  209. You're developing an application triggered by Cloud Storage events and aiming to expedite the testing and development of your Cloud Function while adhering to Google-recommended best practices.
  210. You are developing a microservices-based application where the services must remain internal to the cluster.
  211. You are building an app using PHP that will use a Global HTTP(s) Load Balancer to expose it to the internet.
  212. You are managing a sizable Google Kubernetes Engine (GKE) cluster where multiple application teams collaborate within the same namespace to develop microservices.
  213. A new governmental regulation mandates changes to your application.
  214. You aim to deploy a new Go application to Cloud Run, with the source code stored in Cloud Source Repositories.
  215. Your team has developed an application hosted on a Google Kubernetes Engine (GKE) cluster that needs to connect to a legacy REST service deployed in two GKE clusters across different regions.
  216. You have an application deployed in a production Google Kubernetes Engine (GKE) cluster, and you utilize Cloud Deploy for automated deployments.
  217. You aim to deploy your new application on Cloud Run without a Dockerfile, adhering to your organization's policy of pushing container images to a centrally managed repository.
  218. [code] You are deploying a Python application to Cloud Run via Cloud Source Repositories and Cloud Build.
  219. Your application is tasked with processing messages received via Pub/Sub.
  220. You're developing a microservices-based application on Cloud Run and utilizing Cloud Functions.
  221. You are developing a microservices-based application for deployment on Google Kubernetes Engine (GKE).
  222. You're developing software to manage your company's interactive voice response (IVR) system for customer support, which possesses the following technical attributes
  223. You are working as a senior build engineer for a large enterprise.
  224. You're a member of the Cloud Engineering team and tasked with creating a Cloud Function in Project-1 to save output in a Cloud Storage bucket located in Project-2, adhering to the principle of least privilege.
  225. As a Site Reliability Engineer for a major bank, you're confronted with the task of migrating an application's user data storage from an ephemeral disk due to a recent regulatory requirement banning sensitive information storage on such disks.
  226. You're the lead developer overseeing an application running on Cloud Run.
  227. You are building a web application on Cloud Run, that connects to Cloud Storage to access files stored in a private bucket.
  228. You're managing an E-commerce site running on Cloud Run.
  229. You have developed a user-facing application that stores customers' data in a Cloud Storage bucket, with each object encrypted using the customer's encryption key.
  230. You're part of the SRE team at a company overseeing multiple Google Kubernetes Engine clusters.
  231. You're working on an E-commerce website on Cloud Run, utilizing Firestore for data storage.
  232. As the lead developer of a new retail system operating on Cloud Run and Firestore in Datastore mode, you've encountered a challenge a few months post-launch.
  233. Your team utilizes Git for source code management, aiming to adhere to Google-recommended best practices to enhance software delivery efficiency.
  234. You have an application running in GCP that publishes messages to Pub/Sub.
  235. You have an E-commerce website that uses a third-party API service for credit card processing, shipping, and inventory management.
  236. Your team is deploying a new application to Google Kubernetes Engine (GKE).
  237. Your Java application, hosted on Cloud Run, needs connectivity to a Cloud SQL database.
  238. You're gearing up to launch a new feature in your application to production, and you're keen on testing it across a diverse user base.
  239. You're developing an application that should only activate upon updates to a specific file within your Cloud Storage bucket.
  240. You have deployed an application on Cloud Run, which is experiencing HTTP 500 errors that are impacting its usability.
  241. You are managing an application on Cloud Run and need to establish system tests, ensuring the testing environment remains separate from production.
  242. You're building a microservice component for a substantial application, intending to develop it in C++ and deploy it on GCP.
  243. You are in the process of building a web application that requires containerization for deployment on Google Cloud, facilitated by a global load balancer with SSL certificates.
  244. You are part of a startup that has rapidly gained popularity for its application, resulting in a significant surge in traffic.
  245. Your microservices application runs on Compute Engine VMs and Cloud Run instances.
  246. You're managing a global application utilizing Cloud Spanner as its database.
  247. Your application is currently deployed in Cloud Run, with its source code residing in Cloud Source Repositories.
  248. You're a member of the Security team at your company, responsible for tracking user permissions to resources using Identity and Access Management (IAM).
  249. You are working at a company that develops software for the stock market.
  250. You are part of a company heavily investing in analytics, having developed a new use case requiring data analysts to perform near real-time event analysis using SQL.
  251. You have a social media website running in your on-premises data center.
  252. You are monitoring an application deployed on Google Kubernetes Engine (GKE) and aim to receive alerts when the average memory consumption of your containers deviates from the optimal range of under 20% or above 80%.
  253. You are building a user-facing application on Google Cloud, employing a MySQL relational database schema.
  254. You are rolling out a new update for your application, but you've observed that during the Deployment update in Google Kubernetes Engine, the application was forcibly terminated without closing the database connection.
  255. You have deployed a Go-based application in a Google Kubernetes Engine cluster which is experiencing elevated CPU and memory utilization.
  256. You have deployed an application on Cloud Run that writes every Pub/Sub message to both a Cloud Storage object and a BigQuery table.
  257. You're constructing an E-commerce website employing the microservices architecture, featuring the following microservices.
  258. You are building a user-facing application that writes files to the user's Drive regardless of their account domain.
  259. As you oversee the migration of your on-premises data center to Google Cloud, you encounter a critical issue: a web API is currently running on a server scheduled for decommissioning.
  260. You have deployed a Node.js cloud function, with its source code stored in a Git repository.
  261. You are on the development team for an online game on Google Kubernetes Engine (GKE), and you need to investigate and identify performance bottlenecks causing long response times for certain URLs.
  262. You are building a microservices-based application. One of your microservices must remain private within the cluster.
  263. You have a microservices-based application running in a Google Kubernetes Engine (GKE) cluster.
  264. You have built a CI pipeline using Cloud Build.
  265. You are a backend developer building an API endpoint that processes orders from a web application and saves the data into a collection in Firestore in Datastore mode.
  266. Your application deployed on Google Kubernetes Engine relies on Cloud SQL as its database.
  267. You are in the process of developing a web application deployed on Cloud Run.
  268. One of the services in your microservices-based application deployed on Google Kubernetes Engine (GKE) needs to access several Google Cloud APIs.
  269. Your website is deployed on Cloud Run, and currently, the application writes log records as text in local files.
  270. You are working as a Cloud Architect at your company and you are planning to add new features to an existing application quickly and easily.
  271. You are tasked with redesigning the audit event ingestion process for your authentication service to accommodate a significant surge in traffic.
  272. Your application built on Java is deployed in Cloud Run.
  273. Your web application, deployed on Compute Engine, needs to communicate with Cloud Storage using the API.
  274. You are administering a Google Kubernetes Engine (GKE) cluster which is enrolled in a release channel.
  275. You are working at a fast-growing startup.
  276. You're constructing an application utilizing a programming language devoid of Cloud Client Libraries support.
  277. You are tasked with maintaining a web application currently storing user session data in an on-premises PostgreSQL database, which causes high latency between the application and the database due to its location in your on-premises data center.
  278. You are managing a Google Kubernetes Engine (GKE) cluster within your GCP project, which is equipped with Istio configuration.
  279. You are reviewing the Cloud Monitoring metrics for a website running in Google Kubernetes Engine.
  280. You are creating an E-commerce application on Google Cloud where users log in, add items to their shopping cart, and are automatically logged out after 30 minutes of inactivity.
  281. You are the lead Cloud Architect at your company.
  282. Your team has built a custom web application to transfer logs to Cloud Storage daily.
  283. You have an application operating within a Google Kubernetes Engine (GKE) cluster that needs to connect to a legacy REST service deployed in two GKE clusters across different regions.
  284. You are constructing an application necessitating multiple open-source operating systems in its container images.
  285. You are working at a company that develops software for the stock market.
  286. You have developed a business-critical media application utilizing Cloud Storage for storing and retrieving contract files.
  287. You are working at a startup that builds project management software.
  288. You are a part of the application monitoring team at your company, overseeing the performance of an application.
  289. You have a website deployed on Compute Engine.
  290. You operate an E-commerce application on Google Cloud utilizing a microservices architecture.
  291. You have a container currently deployed in Knative, and you're seeking to transition it to Google Cloud Platform (GCP) without disrupting your application's deployment strategy.
  292. You have a Cloud Function running in Project-1 that needs to store files in a Cloud Storage bucket present in Project-2.
  293. You have an application that seems to perform fine in the Developer’s machine but it has significant latency issues when deployed on Compute Engine.
  294. You're developing a web scraping tool to retrieve news articles from various websites.
  295. You have developed an application that communicates with Pub/Sub to push messages.
  296. You're employed at a game development studio.
  297. You are tasked with devising a strategy to capture crucial audit activity in Cloud Logging for analysis.
  298. You are building an ecommerce web application utilizing Cloud Run and Memorystore for Redis.
  299. You have developed an application enabling users to vote on diverse topics, expecting significant global traffic during specific 30-minute voting intervals.
  300. As the lead engineer overseeing the migration of your company’s legacy application to Google Kubernetes Engine, your task is to break down the monolithic architecture into microservices.

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