Google Professional Cloud Developer exam dumps

Google Professional Cloud Developer practice question 6 of 481

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

Google Professional Cloud Developer Question 6

Select 3Google Cloud Platform

You are designing an API for a high-traffic e-commerce application on Google Cloud. The API needs to handle unpredictable spikes in traffic while ensuring low latency and high availability. Which of the following design choices would best meet these requirements?

  1. A

    Use Cloud Load Balancing to distribute traffic across multiple backend instances.

  2. B

    Implement a caching layer using Memorystore or Cloud CDN to store frequently accessed data.

  3. C

    Configure your API to use a single Compute Engine instance with auto-scaling disabled.

  4. D

    Enable retries and exponential backoff for API requests to handle transient errors.

  5. E

    Deploy the API on a single region to reduce complexity and latency.

Show answer and explanation

Correct answers: A, B, D

Explanation

High-performing applications and APIs require strategies to handle unpredictable traffic spikes, reduce latency, and ensure high availability. Using Cloud Load Balancing distributes traffic effectively, while a caching layer decreases backend pressure and latency. Additionally, enabling retries with exponential backoff increases the resilience of API requests. Avoid single points of failure, such as a single Compute Engine instance, and consider multi-region deployments for better fault tolerance and global availability.

  • A. Correct.

    Correct: Cloud Load Balancing ensures traffic is distributed across multiple backend instances, improving availability and handling high traffic spikes efficiently.

  • B. Correct.

    Correct: Implementing a caching layer reduces the load on backend systems by storing frequently accessed data, which helps maintain low latency during traffic spikes.

  • C. Incorrect.

    Incorrect: Using a single Compute Engine instance with auto-scaling disabled introduces a single point of failure and cannot handle traffic spikes effectively.

  • D. Correct.

    Correct: Enabling retries and exponential backoff helps manage transient API errors during traffic spikes, improving reliability and user experience.

  • E. Incorrect.

    Incorrect: Deploying the API in a single region may reduce complexity but increases the risk of regional outages and may not handle global traffic efficiently.

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