Google Professional Cloud Developer exam dumps

Google Professional Cloud Developer practice question 226 of 481

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

Google Professional Cloud Developer Question 226

Select 3Google Cloud Platform

You are developing a containerized application on Google Cloud, and you want to streamline your local development workflow. The application must integrate seamlessly with Google Cloud services and support rapid iteration of changes with minimal downtime. Which combination of tools and configurations should you use?

  1. A

    Use Cloud Code in your preferred IDE to configure and deploy the application.

  2. B

    Configure Skaffold for continuous development, enabling automatic rebuild and redeployment on code changes.

  3. C

    Manually build Docker images and push them to Artifact Registry for every code change.

  4. D

    Utilize a local Kubernetes cluster, such as Minikube, for testing instead of Google Kubernetes Engine (GKE).

  5. E

    Enable live debugging and logging in Cloud Code to diagnose issues in real-time.

Show answer and explanation

Correct answers: A, B, E

Explanation

To streamline the development of a containerized application on Google Cloud, you should leverage tools like Cloud Code for seamless IDE integration and Skaffold for automating the development workflow. Additionally, live debugging and logging in Cloud Code provide real-time issue resolution capabilities. These tools and features enable rapid iteration and seamless integration with Google Cloud services, which aligns perfectly with the scenario's requirements.

  • A. Correct.

    Cloud Code integrates with popular IDEs to simplify the deployment and configuration of cloud-native applications, making it an essential tool for rapid development.

  • B. Correct.

    Skaffold automates the development workflow by handling tasks like building, pushing, and deploying containers, which is ideal for iterative changes.

  • C. Incorrect.

    Manually building and pushing Docker images can be time-consuming and error-prone, especially during rapid iteration, making it less suitable for this scenario.

  • D. Incorrect.

    While Minikube is useful for local Kubernetes testing, using Google Kubernetes Engine (GKE) is more aligned with the goal of seamless integration with Google Cloud services.

  • E. Correct.

    Cloud Code's live debugging and logging features allow developers to diagnose and fix issues in real-time, improving productivity and reducing downtime.

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