Google Professional Cloud Developer exam dumps

Google Professional Cloud Developer practice question 433 of 481

Professional Cloud Developer. Professional level, Google Cloud. Free question with the correct answer and a full explanation.

Google Professional Cloud Developer Question 433

Single answerGoogle Cloud Platform

You are developing a serverless application on Google Cloud that needs to interact with a Cloud Storage bucket to upload and retrieve files. The application is written in Python and is hosted on Cloud Functions. Which of the following is the most appropriate way to make API calls to Cloud Storage in this scenario?

  1. A

    Use the Cloud Client Library for Python to interact with Cloud Storage.

  2. B

    Use the REST API by manually constructing HTTP requests to the Cloud Storage endpoint.

  3. C

    Use gRPC to communicate with Cloud Storage.

  4. D

    Use the API Explorer to manually test and make calls to the Cloud Storage API.

Show answer and explanation

Correct answer: A

Explanation

The Cloud Client Library is the recommended way to interact with Google Cloud services like Cloud Storage. It simplifies authentication, reduces boilerplate code, and provides idiomatic language support. Using REST API directly or gRPC adds unnecessary complexity, and API Explorer is not suitable for application development.

  • A. Correct.

    This is the correct option. The Cloud Client Library for Python is optimized for ease of use, integrates well with Google Cloud services, and is the recommended approach for interacting with Cloud Storage in Python applications.

  • B. Incorrect.

    While using the REST API is possible, it requires manually constructing HTTP requests and handling authentication, which is more complex and error-prone than using the Cloud Client Library.

  • C. Incorrect.

    gRPC is not supported for Cloud Storage interactions, as Cloud Storage only provides REST-based APIs.

  • D. Incorrect.

    The API Explorer is a testing tool and is not appropriate for use in production code or automated workflows.

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