GOOGLE PROFESSIONAL-CLOUD-DEVELOPER CERTIFICATION & VALID PROFESSIONAL-CLOUD-DEVELOPER TEST PREP

Google Professional-Cloud-Developer Certification & Valid Professional-Cloud-Developer Test Prep

Google Professional-Cloud-Developer Certification & Valid Professional-Cloud-Developer Test Prep

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The Google Professional Cloud Developer certificate is intended to validate the competence of IT professionals tasked with building highly available and scalable applications with the aid of Google endorsed practices and tools. Such individuals will have to demonstrate an understanding of developer tools, cloud-native applications, modern databases, and managed services during the corresponding exam. What’s more, targeted specialists need to have background experience working with at least one programming language and should be proficient in creating useful metrics and logs for debugging and trace coding.

To obtain the Google Professional-Cloud-Developer certification, applicants are required to pass a rigorous exam that covers a broad range of topics, including Google Cloud Platform architecture, application development, storage, security, and deployment. Professional-Cloud-Developer Exam is composed of multiple-choice questions and simulations, and it is designed to test the practical knowledge and experience of the developer. Passing the exam requires a comprehensive understanding of Google Cloud technologies and the ability to apply this knowledge to real-world scenarios. Successful candidates receive a Google Certified Professional - Cloud Developer certification, which is recognized globally as a symbol of expertise and proficiency in cloud development.

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Google Certified Professional - Cloud Developer Sample Questions (Q221-Q226):

NEW QUESTION # 221
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. 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.
  • 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. Use HTTP requests to query the available metadata server at the http://metadata.google.internal/ endpoint with the Metadata-Flavor: Google header.
  • D. Make an API call to the Cloud Asset Inventory API from the application and format the request to include instance metadata.

Answer: B


NEW QUESTION # 222
You want to create "fully baked" or "golden" Compute Engine images for your application. You need to bootstrap your application to connect to the appropriate database according to the environment the application is running on (test, staging, production). What should you do?

  • A. When creating the Compute Engine instance, create a metadata item with a key of "DATABASE" and a value for the appropriate database connection string. In your application, query the metadata server for the "DATABASE" value, and use the value to connect to the appropriate database.
  • B. Embed the appropriate database connection string in the image. Create a different image for each environment.
  • C. When creating the Compute Engine instance, create a metadata item with a key of "DATABASE" and a value for the appropriate database connection string. In your application, read the "DATABASE" environment variable, and use the value to connect to the appropriate database.
  • D. When creating the Compute Engine instance, add a tag with the name of the database to be connected. In your application, query the Compute Engine API to pull the tags for the current instance, and use the tag to construct the appropriate database connection string.

Answer: A


NEW QUESTION # 223
You have deployed an HTTP(s) Load Balancer with the gcloud commands shown below.

Health checks to port 80 on the Compute Engine virtual machine instance are failing and no traffic is sent to your instances. You want to resolve the problem.
Which commands should you run?

  • A. gcloud compute firewall-rules create allow-lb --network load-balancer --allow tcp --source-ranges 130.211.0.0/22,35.191.0.0/16 --direction INGRESS
  • B. gcloud compute firewall-rules create allow-lb --network load-balancer --allow tcp --destination-ranges 130.211.0.0/22,35.191.0.0/16 --direction EGRESS
  • C. gcloud compute instances add-access-config ${NAME}-backend-instance-1
  • D. gcloud compute instances add-tags ${NAME}-backend-instance-1 --tags http-server

Answer: A

Explanation:
Reference: https://cloud.google.com/vpc/docs/special-configurations


NEW QUESTION # 224
You are working on a new application that is deployed on Cloud Run and uses Cloud Functions Each time new features are added, new Cloud Functions and Cloud Run services are deployed You use ENV variables to keep track of the services and enable interservice communication but the maintenance of the ENV variables has become difficult. You want to implement dynamic discovery in a scalable way. What should you do?

  • A. Rename the Cloud Functions and Cloud Run services endpoints using a well-documented naming convention
  • B. Configure your microservices to use the Cloud Run Admin and Cloud Functions APIs to query for deployed Cloud Run services and Cloud Functions in the Google Cloud project.
  • C. Create a Service Directory Namespace Use API calls to register the services during deployment, and query during runtime.
  • D. Deploy Hashicorp Consul on a single Compute Engine Instance Register the services with Consul during deployment and query during runtime

Answer: B


NEW QUESTION # 225
You are developing a marquee stateless web application that will run on Google Cloud. The rate of the incoming user traffic is expected to be unpredictable, with no traffic on some days and large spikes on other days. You need the application to automatically scale up and down, and you need to minimize the cost associated with running the application. What should you do?

  • A. Build the application in Python with CloudSQL as the database. Deploy the application to App Engine standard environment.
  • B. Build the application in C# with Firestore as the database. Deploy the application to App Engine flexible environment.
  • C. Build the application in Python with Firestore as the database. Deploy the application to a Compute Engine managed instance group with autoscaling.
  • D. Build the application in Python with Firestore as the database. Deploy the application to Cloud Run.

Answer: D


NEW QUESTION # 226
......

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