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Google Professional-Cloud-Developer certification exam is designed for cloud developers who want to demonstrate their proficiency in designing, building, and deploying scalable cloud solutions on the Google Cloud Platform. Professional-Cloud-Developer exam is a part of the Google Cloud Certification program and is designed to validate the skills and knowledge of cloud developers.

Google Professional-Cloud-Developer certification is a highly recognized certification exam that aims to validate an individual’s ability to develop, deploy, and manage applications on Google Cloud Platform (GCP). Google Certified Professional - Cloud Developer certification is designed for developers who are familiar with GCP and have experience in software development, and who want to demonstrate their skills and knowledge.

The Google Professional-Cloud-Developer Exam measures the candidate's ability to write, deploy, and manage cloud-native applications using GCP services such as Compute Engine, Kubernetes, and App Engine. It also evaluates the candidate's proficiency in designing and developing highly scalable, reliable, and secure applications in the cloud environment. Professional-Cloud-Developer exam is designed to test the candidate's hands-on skills and practical knowledge, rather than just theoretical understanding.

Google Certified Professional - Cloud Developer Sample Questions (Q217-Q222):

NEW QUESTION # 217
You manage an application that runs in a Compute Engine instance. You also have multiple backend services executing in stand-alone Docker containers running in Compute Engine instances. The Compute Engine instances supporting the backend services are scaled by managed instance groups in multiple regions. You want your calling application to be loosely coupled. You need to be able to invoke distinct service implementations that are chosen based on the value of an HTTP header found in the request. Which Google Cloud feature should you use to invoke the backend services?

  • A. Anthos Service Mesh
  • B. Service Directory
  • C. Internal HTTP(S) Load Balancing
  • D. Traffic Director

Answer: C


NEW QUESTION # 218
You are using Cloud Build build to promote a Docker image to Development, Test, and Production environments. You need to ensure that the same Docker image is deployed to each of these environments.
How should you identify the Docker image in your build?

  • A. Use the digest of the Docker image.
  • B. Use a unique Docker image name.
  • C. Use a semantic version Docker image tag.
  • D. Use the latest Docker image tag.

Answer: C


NEW QUESTION # 219
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 to your application. Collect the messages from Pub/Sub in production, and replay them through the publishing service.
  • B. 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.
  • 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, and deploy the Pub/Sub emulator. Generate random content in the publishing service, and publish to the emulator.

Answer: B


NEW QUESTION # 220
You have an application running on Google Kubernetes Engine (GKE). The application is currently using a logging library and is outputting to standard output You need to export the logs to Cloud Logging, and you need the logs to include metadata about each request. You want to use the simplest method to accomplish this. What should you do?

  • A. Change your application s logging library to the Cloud Logging library and configure your application to export logs to Cloud Logging
  • B. Install the Fluent Bit agent on each of your GKE nodes, and have the agent export all logs from /var/ log.
  • C. Update your application to output logs in JSON format, and add the necessary metadata to the JSON
  • D. Update your application to output logs in CSV format, and add the necessary metadata to the CSV.

Answer: D


NEW QUESTION # 221
Your team is developing a new application using a PostgreSQL database and Cloud Run. You are responsible for ensuring that all traffic is kept private on Google Cloud. You want to use managed services and follow Google-recommended best practices. What should you do?

  • A. 1. Install PostgreSQL on a Compute Engine virtual machine (VM), and enable Cloud Run in the same project.
    2. Configure a private IP address for the VM. Enable private services access.
    3. Create a Serverless VPC Access connector.
    4. Configure Cloud Run to use the connector to connect to the VM hosting PostgreSQL.
  • B. 1. Install PostgreSQL on a Compute Engine VM, and enable Cloud Run in different projects.
    2. Configure a private IP address for the VM. Enable private services access.
    3. Create a Serverless VPC Access connector.
    4. Set up a VPN connection between the two projects. Configure Cloud Run to use the connector to access the VM hosting PostgreSQL
  • C. 1. Enable Cloud SQL and Cloud Run in the same project.
    2. Configure a private IP address for Cloud SQL. Enable private services access.
    3. Create a Serverless VPC Access connector.
    4. Configure Cloud Run to use the connector to connect to Cloud SQL.
  • D. 1. Use Cloud SQL and Cloud Run in different projects.
    2. Configure a private IP address for Cloud SQL. Enable private services access.
    3. Create a Serverless VPC Access connector.
    4. Set up a VPN connection between the two projects. Configure Cloud Run to use the connector to connect to Cloud SQL.

Answer: C

Explanation:
Explanation
https://cloud.google.com/sql/docs/postgres/connect-run#private-ip


NEW QUESTION # 222
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