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Google Professional-Cloud-Developer Dumps Questions Answers

Exam Code:
Professional-Cloud-Developer
Last Update: May 5, 2026
265 Questions Answers with Explanation Detail
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Professional-Cloud-Developer Q&A's Detail

Exam Code:
Professional-Cloud-Developer
Total Questions:
265 Q&A's
Single Choice Questions:
248 Q&A's
Multiple Choice Questions:
17 Q&A's

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Google Professional-Cloud-Developer Exam Dumps FAQs

The Google Professional-Cloud-Developer exam validates your ability to build scalable, available, and reliable cloud-native applications using Google-recommended tools and best practices.
The Google Professional-Cloud-Developer exam is ideal for experienced developers with 1+ years designing and managing solutions on GCP. It demonstrates your proficiency in cloud-native development, leveraging Google's recommended tools and best practices.

The Google Professional-Cloud-Developer exam focuses on your ability to:

  • Designing scalable, available, and reliable cloud-native applications.
  • Building and testing applications.
  • Deploying applications.
  • Integrating applications with Google Cloud services.
The Google Professional-Cloud-Developer exam consists of 50-60 multiple-choice and multiple-select questions.
The duration of the Google Professional-Cloud-Developer Exam is 2 hours.
Absolutely, the Google Professional-Cloud-Developer certification validates your expertise in cloud-native development on GCP, making you a more attractive candidate for higher-level roles and promotions.

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Google Certified Professional - Cloud Developer Questions and Answers

Questions 1

You have an on-premises application that authenticates to the Cloud Storage API using a user-managed service account with a user-managed key. The application connects to Cloud Storage using Private Google Access over a Dedicated Interconnect link. You discover that requests from the application to access objects in the Cloud Storage bucket are failing with a 403 Permission Denied error code. What is the likely cause of this issue?

Options:

A.

The folder structure inside the bucket and object paths have changed.

B.

The permissions of the service account’s predefined role have changed.

C.

The service account key has been rotated but not updated on the application server.

D.

The Interconnect link from the on-premises data center to Google Cloud is experiencing a temporary outage.

Questions 2

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?

Options:

A.

Embed the appropriate database connection string in the image. Create a different image for each environment.

B.

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.

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, 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.

Questions 3

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?

Options:

A.

Create a Service Directory Namespace Use API calls to register the services during deployment, and query during runtime.

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.

Deploy Hashicorp Consul on a single Compute Engine Instance Register the services with Consul during deployment and query during runtime

D.

Rename the Cloud Functions and Cloud Run services endpoints using a well-documented naming

convention

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