Google Associate Cloud Engineer exam dumps

Google Associate Cloud Engineer practice question 212 of 375

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

Google Associate Cloud Engineer Question 212

Select 2Google Cloud Platform

Your company runs an e-commerce application on Google Cloud Platform using a managed instance group. You notice that during peak shopping hours, the application experiences degraded performance due to increased load. You need to improve the application's performance by adjusting the autoscaling configurations. Which of the following actions should you take to efficiently handle the increased load?

  1. A

    Set up a horizontal autoscaler to increase the number of instances during peak hours.

  2. B

    Configure a vertical autoscaler to automatically increase the instance type to a larger size during peak hours.

  3. C

    Increase the instance group size manually when high traffic is anticipated.

  4. D

    Enable autoscaling based on CPU utilization and configure a custom metric for scaling.

  5. E

    Schedule a maintenance window to upgrade the application to a more efficient version.

Show answer and explanation

Correct answers: A, D

Explanation

To efficiently handle increased load during peak shopping hours, setting up horizontal autoscaling allows the application to scale out by adding more instances, which is an effective way to manage spikes in demand. Additionally, configuring autoscaling based on CPU utilization with custom metrics ensures that scaling actions are responsive to real-time performance needs, providing a balanced and automated approach to resource management.

  • A. Correct.

    Horizontal autoscaling allows you to add more instances to handle increased load, which is effective for handling spikes in demand.

  • B. Incorrect.

    Vertical autoscaling is not as commonly used in Google Cloud due to the complexity and downtime associated with resizing instances.

  • C. Incorrect.

    Manually adjusting the instance group size is not efficient or scalable for handling fluctuating loads.

  • D. Correct.

    Autoscaling based on CPU utilization, combined with custom metrics, provides a dynamic and responsive scaling solution to handle varying loads.

  • E. Incorrect.

    Scheduling a maintenance window for an upgrade does not directly address the immediate need to scale resources during peak hours.

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