New Google Professional-Cloud-Developer Exam Vce - New Professional-Cloud-Developer Test Syllabus

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The Google Professional-Cloud-Developer Certification Exam is designed to test and validate the skills and knowledge of developers who work with Google Cloud Platform (GCP). It is an industry-recognized certification that demonstrates a developer's ability to design, build, test, and deploy applications on GCP using best practices and industry standards. The exam covers a wide range of topics including GCP infrastructure, data storage, application development, deployment, and monitoring.

The Google Professional Cloud Developer certification is created to validate the candidates’ understanding of Cloud-native software design principles. It also measures the ability of the specialists to build, test and deploy applications with the help of best practices for scalability, reliability, and security. To earn this sought-after certificate, the applicants need to ace a single exam.

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Google Certified Professional - Cloud Developer Sample Questions (Q177-Q182):

NEW QUESTION # 177
You are developing an application using different microservices that should remain internal to the cluster. You want to be able to configure each microservice with a specific number of replicas. You also want to be able to address a specific microservice from any other microservice in a uniform way, regardless of the number of replicas the microservice scales to. You need to implement this solution on Google Kubernetes Engine. What should you do?

A. Deploy each microservice as a Pod. Expose the Pod in the cluster using an Ingress, and use the Ingress IP address name to address the Pod from other microservices within the cluster.
B. Deploy each microservice as a Deployment. Expose the Deployment in the cluster using an Ingress, and use the Ingress IP address to address the Deployment from other microservices within the cluster.
C. Deploy each microservice as a Deployment. Expose the Deployment in the cluster using a Service, and use the Service DNS name to address it from other microservices within the cluster.
D. Deploy each microservice as a Pod. Expose the Pod in the cluster using a Service, and use the Service DNS name to address the microservice from other microservices within the cluster.

Answer: C

NEW QUESTION # 178
You have an application deployed in Google Kubernetes Engine (GKE) that reads and processes Pub/Sub messages. Each Pod handles a fixed number of messages per minute. The rate at which messages are published to the Pub/Sub topic varies considerably throughout the day and week, including occasional large batches of messages published at a single moment.
You want to scale your GKE Deployment to be able to process messages in a timely manner. What GKE feature should you use to automatically adapt your workload?

A. Horizontal Pod Autoscaler based on an external metric
B. Vertical Pod Autoscaler in Auto mode
C. Horizontal Pod Autoscaler based on resources utilization
D. Vertical Pod Autoscaler in Recommendation mode

Answer: C

Explanation:
Explanation
https://kubernetes.io/docs/tasks/run-application/horizontal-pod-autoscale/

NEW QUESTION # 179
You are deploying your application to a Compute Engine virtual machine instance. Your application is configured to write its log files to disk. You want to view the logs in Stackdriver Logging without changing the application code.
What should you do?

A. Provide the log file folder path in the metadata of the instance to configure it to send the application logs.
B. Change the application to log to /var/log so that its logs are automatically sent to Stackdriver Logging.
C. Use a Stackdriver Logging Library to log directly from the application to Stackdriver Logging.
D. Install the Stackdriver Logging Agent and configure it to send the application logs.

Answer: D

NEW QUESTION # 180
Your team detected a spike of errors in an application running on Cloud Run in your production project. The application is configured to read messages from Pub/Sub topic A, process the messages, and write the messages to topic B.
You want to conduct tests to identify the cause of the errors. You can use a set of mock messages for testing. What should you do?

A. Use the Google Cloud console to write mock messages to topic A. Change the logging level in the application to DEBUG or INFO, and then analyze the logs.
B. Deploy the Pub/Sub emulator on your local machine. Point the production application to your local Pub/Sub topics. Write mock messages to topic A, and then analyze the logs.
C. Deploy the Pub/Sub and Cloud Run emulators on your local machine. Deploy the application locally, and change the logging level in the application to DEBUG or INFO. Write mock messages to topic A, and then analyze the logs.
D. Use the gcloud CLI to write mock messages to topic A. Change the logging level in the application to DEBUG or INFO, and then analyze the logs.

Answer: C

NEW QUESTION # 181
You are working on a social media application. You plan to add a feature that allows users to upload images. These images will be 2 MB - 1 GB in size. You want to minimize their infrastructure operations overhead for this feature. What should you do?

A. Change the application to create signed URLs for Cloud Storage. Transfer these signed URLs to the client application to upload images to Cloud Storage.
B. Set up a web server on GCP to accept user images and create a file store to keep uploaded files. Change the application to retrieve images from the file store.
C. Change the application to accept images directly and store them in the database that stores other user information.
D. Create a separate bucket for each user in Cloud Storage. Assign a separate service account to allow write access on each bucket. Transfer service account credentials to the client application based on user information. The application uses this service account to upload images to Cloud Storage.

Answer: A

NEW QUESTION # 182
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