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[General] Professional-Cloud-Developer New Exam Bootcamp | Professional-Cloud-Developer Re

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【General】 Professional-Cloud-Developer New Exam Bootcamp | Professional-Cloud-Developer Re

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Both practice tests simulate the Google Professional-Cloud-Developer real exam environment and produce results of your attempts on the spot. In this way, you will be able to not only evaluate your progress but also overcome mistakes before the Professional-Cloud-Developer actual examination. Windows computers support the Google Certified Professional - Cloud Developer Professional-Cloud-Developer desktop practice exam software. The Google Certified Professional - Cloud Developer Professional-Cloud-Developer web-based practice test needs an active internet connection.
For more info visit:Security & Identity FundamentalsKubernetes in the Google CloudGoogle Cloud documentationGoogle Cloud solutions
Important DetailsThe candidates for this certification are the Cloud developers who have competence in building highly available and scalable apps with the Google-recommended tools and practices. They also have proficiency in a minimum of one general-purpose programming language. It is recommended that the individuals for the Professional Cloud Developer certificate have at least three years of practical experience with Google Cloud solutions and products. They should also possess at least one year of designing and managing solutions with the use of GCP. Please note that you should also understand the content of the prerequisite exam before attempting it.
Professional-Cloud-Developer Reliable Exam Pattern | Practice Professional-Cloud-Developer Exams FreeThe Google Certified Professional - Cloud Developer (Professional-Cloud-Developer) is one of the popular exams of Professional-Cloud-Developer. It is designed for Google aspirants who want to earn the Google Certified Professional - Cloud Developer (Professional-Cloud-Developer) certification and validate their skills. The Professional-Cloud-Developer test is not an easy exam to crack. It requires dedication and a lot of hard work. You need to prepare well to clear the Professional-Cloud-Developer test on the first attempt. One of the best ways to prepare successfully for the Professional-Cloud-Developer examination in a short time is using real Google Professional-Cloud-Developer Exam Dumps.
Google Professional-Cloud-Developer Certification Exam is a rigorous test of a candidate's skills and knowledge. It consists of multiple-choice questions and coding challenges that require candidates to demonstrate their ability to design and implement cloud-based solutions. Candidates have two hours to complete the exam, and they must achieve a passing score of 70% or higher to earn the certification.
Google Certified Professional - Cloud Developer Sample Questions (Q71-Q76):NEW QUESTION # 71
You have an application running on a GKE cluster. Your application has a stateless web frontend, and has a high-availability requirement. Your cluster is set to automatically upgrade, and some of your nodes need to be drained. You need to ensure that the application has a serving capacity of
10% of the Pods prior to the drain. What should you do?
  • A. Configure a Pod Disruption Budget (PDB) value to have a minAvailable value of 10%.
  • B. Configure a Vertical Pod Autoscaler (VPA) to increase the memory and CPU by 10% and set the updateMode to Auto.
  • C. Configure the Horizontal Pod Autoscaler (HPA) maxReplicas value to 10% more than the current replica count.
  • D. Configure the Pod replica count to be 10% more than the current replica count.
Answer: D
Explanation:
In this scenario, you need to ensure that there is an additional 10% capacity of Pods available to handle traffic when nodes are drained. By increasing the replica count by 10%, you provide a buffer to maintain high availability during node drains. This approach meets the high-availability requirement by ensuring sufficient Pods remain available during upgrades or disruptions.
Options like Pod Disruption Budget (PDB) with a minAvailable value of 10% do not directly increase the Pod count but rather set a threshold for the minimum number of available Pods, which could result in reduced serving capacity during node drains if the replica count itself is not increased.

NEW QUESTION # 72
You are designing a Node.js-based mobile news feed application that stores data on Google Cloud. You need to select the application's database. You want the database to have zonal resiliency out of the box, low latency responses, ACID compliance, an optional middle tier, semi- structured data storage, and network-partition-tolerant and offline-mode client libraries. What should you do?
  • A. Configure Firestore and use the Firestore client library in the app.
  • B. Configure BigQuery and use the BigQuery REST API in the app.
  • C. Configure Bigtable and use the Bigtable client in the app.
  • D. Configure Cloud SQL and use the Google Client Library for Cloud SQL in the app.
Answer: A
Explanation:
https://cloud.google.com/architecture/disaster-recovery

NEW QUESTION # 73
You are using Cloud Run to host a web application. You need to securely obtain the application project ID and region where the application is running and display this information to users. You want to use the most performant approach. What should you do?
  • A. Make an API call to the Cloud Asset Inventory API from the application and format the request to include instance metadata.
  • B. In the Google Cloud console, navigate to the Project Dashboard and gather configuration details.
    Navigate to the Cloud Run "Variables & Secrets" tab, and add the desired environment variables in Key:Value format.
  • C. In the Google Cloud console, navigate to the Project Dashboard and gather configuration details.
    Write the application configuration information to Cloud Run's in-memory container filesystem.
  • D. Use HTTP requests to query the available metadata server at the http://metadata.google.internal/ endpoint with the Metadata-Flavor: Google header.
Answer: D
Explanation:
https://cloud.google.com/run/doc ... act#metadata-server
Cloud Run container instances expose a metadata server that you can use to retrieve details about your container instance, such as the project ID, region, instance ID or service accounts.
You can access this data from the metadata server using simple HTTP requests to the
http://metadata.google.internal/ endpoint with the Metadata-Flavor: Google header: no client libraries are required.

NEW QUESTION # 74
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. Configure GKE workload metrics using kubectl. 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.
  • B. 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.
  • C. 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.
  • D. 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.
Answer: B
Explanation:
https://cloud.google.com/trace/docs/setup#when-to-instrument

NEW QUESTION # 75
You are developing an application that reads credit card data from a Pub/Sub subscription. You have written code and completed unit testing. You need to test the Pub/Sub integration before deploying to Google Cloud.
What should you do?
  • A. Create a service to publish messages, and deploy the Pub/Sub emulator. Publish a standard set of testing messages from the publishing service to the emulator.
  • B. Create a service to publish messages, and deploy the Pub/Sub emulator. Generate random content in the publishing service, and publish to the emulator.
  • C. Create a service to publish messages, and deploy the Pub/Sub emulator. Collect the messages from Pub/Sub in production, and publish them to the emulator.
  • D. Create a service to publish messages to your application. Collect the messages from Pub/Sub in production, and replay them through the publishing service.
Answer: A

NEW QUESTION # 76
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