Google Professional Cloud DevOps Engineer exam dumps

Google Professional Cloud DevOps Engineer practice question 51 of 268

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

Google Professional Cloud DevOps Engineer Question 51

Select 3Google Cloud Platform

Your team is developing a cloud-native application and wants to accelerate development and streamline operations using AI tools. They are particularly interested in implementing CI/CD pipelines and improving infrastructure as code (IaC) practices. Which of the following AI-powered features provided by Google Cloud can help achieve these goals?

  1. A

    Using Gemini Code Assist to generate Terraform configurations for infrastructure deployment

  2. B

    Leveraging Cloud Code to provide real-time code completion and debugging for Kubernetes manifests

  3. C

    Using Vertex AI to automate CI/CD pipeline deployments

  4. D

    Utilizing Gemini Code Assist to identify and resolve potential security vulnerabilities in your code

  5. E

    Using Cloud Build's AI-powered test automation to analyze build logs and suggest optimizations

Show answer and explanation

Correct answers: A, B, D

Explanation

Google Cloud provides AI-powered tools like Gemini Code Assist and Cloud Code to assist DevOps teams in accelerating application development and improving operational workflows. Gemini Code Assist is particularly useful for generating IaC templates and identifying code vulnerabilities, while Cloud Code enhances developer productivity with real-time code completion and debugging for Kubernetes. Vertex AI and Cloud Build have distinct purposes that do not directly align with the specific goals outlined in this scenario.

  • A. Correct.

    Correct: Gemini Code Assist can assist with generating infrastructure as code (IaC) configurations, such as Terraform, helping streamline the deployment of cloud infrastructure.

  • B. Correct.

    Correct: Cloud Code integrates with IDEs to provide AI-powered real-time code completion and debugging, which is particularly useful for Kubernetes development.

  • C. Incorrect.

    Incorrect: While Vertex AI is a powerful AI/ML platform, it is not specifically designed to automate CI/CD pipelines. Other tools like Cloud Build and GitHub Actions are more appropriate for this purpose.

  • D. Correct.

    Correct: Gemini Code Assist can analyze code for potential security vulnerabilities and provide suggestions for resolution, which enhances both development and operational reliability.

  • E. Incorrect.

    Incorrect: Cloud Build does not currently offer AI-powered test automation. It’s primarily a build and deployment tool, and while it integrates with testing frameworks, AI-driven test analysis is not a feature.

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