Google Professional Cloud DevOps Engineer Question 205
Select 2Google Cloud PlatformYour team is adopting AI tools to enhance the development and operations lifecycle for your Google Cloud-based application. You are considering using Cloud Code and Gemini Code Assist. Which of the following are appropriate use cases for these tools to speed up development and operational tasks?
- A
Generate boilerplate Kubernetes YAML configurations for deploying applications
- B
Debug a production workload running on Google Kubernetes Engine (GKE) by automatically identifying runtime exceptions
- C
Provide code suggestions and autocompletions for Google Cloud APIs within your IDE
- D
Automatically scale an instance group based on traffic spikes without manual intervention
- E
Identify security vulnerabilities in your CI/CD pipeline and suggest remediations
Show answer and explanation
Correct answers: A, C
Explanation
Cloud Code and Gemini Code Assist are AI-powered tools that enhance developer productivity by generating templates (e.g., Kubernetes YAML) and providing intelligent code suggestions. These tools specifically aim to simplify development processes, while operational tasks like autoscaling or security scanning involve other specialized Google Cloud services.
- A. Correct.
Correct. Cloud Code simplifies Kubernetes development by generating boilerplate YAML configurations for Kubernetes resources, reducing manual effort.
- B. Incorrect.
Incorrect. While debugging tools exist on Google Cloud, Cloud Code and Gemini Code Assist are not primarily designed for automatic runtime exception detection in production workloads.
- C. Correct.
Correct. Gemini Code Assist and Cloud Code are designed to enhance developer productivity by providing code suggestions, autocompletions, and context-aware assistance for Google Cloud APIs.
- D. Incorrect.
Incorrect. Automatic scaling is managed by Google Cloud features like autoscaler for instance groups, not by Cloud Code or Gemini Code Assist.
- E. Incorrect.
Incorrect. Security vulnerability scanning and recommendations are typically performed by tools like Cloud Build integration with security scanners, not by Cloud Code or Gemini Code Assist.