Google Professional Cloud DevOps Engineer exam dumps

Google Professional Cloud DevOps Engineer practice question 52 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 52

Select 3Google Cloud Platform

Your team is adopting AI tools to improve the development and operations workflows for a new microservices-based application hosted on Google Cloud. Which of the following actions can you take using AI-powered tools like Cloud Code and Gemini Code Assist to enhance development and operational efficiency?

  1. A

    Use Gemini Code Assist to generate code snippets and optimize existing functions based on best practices.

  2. B

    Leverage Cloud Code to automate Kubernetes resource generation and deployment configurations.

  3. C

    Use Gemini Code Assist to automatically patch security vulnerabilities in runtime applications without developer intervention.

  4. D

    Integrate Cloud Code with Cloud Monitoring to proactively detect anomalies in application performance metrics.

  5. E

    Employ Gemini Code Assist to generate context-aware unit tests for newly written functions.

Show answer and explanation

Correct answers: A, B, E

Explanation

AI-powered tools like Cloud Code and Gemini Code Assist help streamline development and operational workflows. Cloud Code focuses on simplifying Kubernetes development and deployment processes, while Gemini Code Assist enhances productivity by generating code snippets, optimizing functions, and creating test cases. These capabilities ensure faster, more reliable development cycles while adhering to best practices.

  • A. Correct.

    Correct: Gemini Code Assist can generate code snippets and recommend optimizations, enabling developers to follow best practices and save time during coding.

  • B. Correct.

    Correct: Cloud Code can automate the creation of Kubernetes resource configurations, such as YAML files, and streamline deployment processes, which leads to increased operational efficiency.

  • C. Incorrect.

    Incorrect: While Gemini Code Assist can assist with secure coding practices, it does not directly patch runtime applications for security vulnerabilities. Such responsibilities typically fall under other tools or manual intervention.

  • D. Incorrect.

    Incorrect: Cloud Code is primarily focused on development workflows and integration with IDEs, not monitoring application performance or detecting anomalies. This falls under the domain of tools like Cloud Monitoring and Cloud Operations Suite.

  • E. Correct.

    Correct: Gemini Code Assist can help generate unit tests that are context-aware, improving development workflows and ensuring better test coverage for newly written functions.

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