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Professional-Cloud-Developer Exam Dumps : Google Certified Professional - Cloud Developer

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Google Certified Professional - Cloud Developer Questions and Answers

Question 1

You want to migrate an on-premises container running in Knative to Google Cloud. You need to make sure that the migration doesn't affect your application's deployment strategy, and you want to use a fully managed service. Which Google Cloud service should you use to deploy your container?

Options:

A.

Cloud Run

B.

Compute Engine

C.

Google Kubernetes Engine

D.

App Engine flexible environment

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Question 2

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?

Options:

A.

Create a service to publish messages, and deploy the Pub/Sub emulator. Generate random content in the publishing service, and publish to the emulator.

B.

Create a service to publish messages to your application. Collect the messages from Pub/Sub in production, and replay them through the publishing service.

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. Publish a standard set of testing messages from the publishing service to the emulator.

Question 3

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?

Options:

A.

Use HTTP requests to query the available metadata server at the http://metadata.google.internal/ endpoint with the Metadata-Flavor: Google header.

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.

Make an API call to the Cloud Asset Inventory API from the application and format the request to include instance metadata.