2025 CERTIFICATION PROFESSIONAL-CLOUD-DEVELOPER EXAM | GOOGLE CERTIFIED PROFESSIONAL - CLOUD DEVELOPER 100% FREE VALID TEST SIMULATOR

2025 Certification Professional-Cloud-Developer Exam | Google Certified Professional - Cloud Developer 100% Free Valid Test Simulator

2025 Certification Professional-Cloud-Developer Exam | Google Certified Professional - Cloud Developer 100% Free Valid Test Simulator

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Tags: Certification Professional-Cloud-Developer Exam, Professional-Cloud-Developer Valid Test Simulator, Exam Professional-Cloud-Developer Flashcards, Professional-Cloud-Developer Valid Dumps Sheet, Professional-Cloud-Developer Mock Test

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To take the Google Professional-Cloud-Developer exam, you should have a good understanding of cloud-native applications and their deployment on GCP. You should also have hands-on experience in using GCP services such as Cloud Functions, Cloud Storage, and Cloud Pub/Sub. Professional-Cloud-Developer exam consists of multiple-choice and multiple-select questions and is designed to test your knowledge of GCP services, application development, and best practices.

Google Professional-Cloud-Developer Certification Exam is designed to validate the skills and knowledge of developers who are interested in working with cloud-based applications and services on the Google Cloud Platform (GCP). Google Certified Professional - Cloud Developer certification is ideal for professionals who want to demonstrate their expertise in developing, deploying, and managing applications on the GCP.

Google Certified Professional - Cloud Developer Sample Questions (Q82-Q87):

NEW QUESTION # 82
You are developing an online gaming platform as a microservices application on Google Kubernetes Engine (GKE). Users on social media are complaining about long loading times for certain URL requests to the application. You need to investigate performance bottlenecks in the application and identify. which HTTP requests have a significantly high latency span in user requests What should you do?

  • A. Instrument your microservices by installing the OpenTelemetry tracing package Update your application code to send traces to Trace for inspection and analysis Create an analysis report on Trace to analyze user requests
  • B. Install tcpdump on your GKE nodes. Run tcpdump to capture network traffic over an extended period of time to collect data Analyze the data files using Wireshark to determine the cause of high latency
  • C. Update your microservices to log HTTP request methods and URL paths to STDOUT Use the logs router to send container logs to Cloud Logging Create filters in Cloud Logging to evaluate the latency of user requests across different methods and URL paths.
  • D. Configure GKE workload metrics using kubect1 Select all Pods to send their metrics to Cloud Monitoring. Create a custom dashboard of application metrics in Cloud Monitoring to determine performance bottlenecks of your GKE cluster

Answer: D


NEW QUESTION # 83
Your organization has recently begun an initiative to replatform their legacy applications onto Google Kubernetes Engine. You need to decompose a monolithic application into microservices. Multiple instances have read and write access to a configuration file, which is stored on a shared file system. You want to minimize the effort required to manage this transition, and you want to avoid rewriting the application code.
What should you do?

  • A. Create a new persistent disk, and mount the volume as a shared PersistentVolume.
  • B. Create a new Cloud Storage bucket, and mount it via FUSE in the container.
  • C. Create a new ConfigMap and volumeMount to store the contents of the configuration file.
  • D. Create a new Filestore instance, and mount the volume as an NFS PersistentVolume.

Answer: C

Explanation:
Explanation
https://cloud.google.com/kubernetes-engine/docs/concepts/configmap
ConfigMaps bind non-sensitive configuration artifacts such as configuration files, command-line arguments, and environment variables to your Pod containers and system components at runtime.
A ConfigMap separates your configurations from your Pod and components, which helps keep your workloads portable. This makes their configurations easier to change and manage, and prevents hardcoding configuration data to Pod specifications.


NEW QUESTION # 84
You want to view the memory usage of your application deployed on Compute Engine. What should you do?

  • A. Use the Google Cloud Platform Console.
  • B. Install the Stackdriver Client Library.
  • C. Install the Stackdriver Monitoring Agent.
  • D. Use the Stackdriver Metrics Explorer.

Answer: D

Explanation:
Reference:
https://stackoverflow.com/questions/43991246/google-cloud-platform-how-to-monitor-memory-usage-of-vm-ins


NEW QUESTION # 85
For this question, refer to the HipLocal case study.
HipLocal's application uses Cloud Client Libraries to interact with Google Cloud. HipLocal needs to configure authentication and authorization in the Cloud Client Libraries to implement least privileged access for the application. What should they do?

  • A. Create an API key. Use the API key to interact with Google Cloud.
  • B. Use the default compute service account to interact with Google Cloud.
  • C. Create a service account for the application and for each Google Cloud API used by the application.
    Export and deploy the private keys used by the application. Use the service account with one Google Cloud API to interact with Google Cloud.
  • D. Create a service account for the application. Export and deploy the private key for the application. Use the service account to interact with Google Cloud.

Answer: A


NEW QUESTION # 86
You are parsing a log file that contains three columns: a timestamp, an account number (a string), and a transaction amount (a number). You want to calculate the sum of all transaction amounts for each unique account number efficiently.
Which data structure should you use?

  • A. A hash table
  • B. A linked list
  • C. A two-dimensional array
  • D. A comma-delimited string

Answer: A


NEW QUESTION # 87
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