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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

For this question, refer to the HipLocal case study.

HipLocal is expanding into new locations. They must capture additional data each time the application is launched in a new European country. This is causing delays in the development process due to constant schema changes and a lack of environments for conducting testing on the application changes. How should they resolve the issue while meeting the business requirements?

Options:

A.

Create new Cloud SQL instances in Europe and North America for testing and deployment. Provide developers with local MySQL instances to conduct testing on the application changes.

B.

Migrate data to Bigtable. Instruct the development teams to use the Cloud SDK to emulate a local Bigtable development environment.

C.

Move from Cloud SQL to MySQL hosted on Compute Engine. Replicate hosts across regions in the Americas and Europe. Provide developers with local MySQL instances to conduct testing on the application changes.

D.

Migrate data to Firestore in Native mode and set up instan

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Question 2

Your application is logging to Stackdriver. You want to get the count of all requests on all /api/alpha/*

endpoints.

What should you do?

Options:

A.

Add a Stackdriver counter metric for path:/api/alpha/.

B.

Add a Stackdriver counter metric for endpoint:/api/alpha/*.

C.

Export the logs to Cloud Storage and count lines matching /api/alphA.

D.

Export the logs to Cloud Pub/Sub and count lines matching /api/alphA.

Question 3

You have an application deployed in Google Kubernetes Engine (GKE). You need to update the application to make authorized requests to Google Cloud managed services. You want this to be a one-time setup, and you need to follow security best practices of auto-rotating your security keys and storing them in an encrypted store. You already created a service account with appropriate access to the Google Cloud service. What should you do next?

Options:

A.

Assign the Google Cloud service account to your GKE Pod using Workload Identity.

B.

Export the Google Cloud service account, and share it with the Pod as a Kubernetes Secret.

C.

Export the Google Cloud service account, and embed it in the source code of the application.

D.

Export the Google Cloud service account, and upload it to HashiCorp Vault to generate a dynamic service account for your application.