Google Professional Cloud Database Engineer exam dumps

Google Professional Cloud Database Engineer practice question 33 of 259

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

Google Professional Cloud Database Engineer Question 33

Single answerGoogle Cloud Platform

You are managing a Cloud SQL instance that supports a critical e-commerce application. The application has peak usage during weekdays from 9 AM to 9 PM and experiences minimal traffic during weekends. The application requires minimal downtime to maintain user experience. How should you configure the maintenance window to meet the application's availability requirements?

  1. A

    Set the maintenance window to weekdays from 9 AM to 9 PM.

  2. B

    Set the maintenance window to weekdays from 1 AM to 5 AM.

  3. C

    Set the maintenance window to weekends from 1 AM to 5 AM.

  4. D

    Set the maintenance window to weekends from 9 AM to 9 PM.

Show answer and explanation

Correct answer: C

Explanation

To define an appropriate maintenance window, you should consider the application's traffic patterns and select a period with minimal user activity to reduce the impact of downtime. Since the application's peak usage occurs on weekdays from 9 AM to 9 PM, scheduling maintenance during weekends from 1 AM to 5 AM ensures minimal disruption to the user experience.

  • A. Incorrect.

    This option would result in downtime during the application's peak usage hours, which is not optimal for maintaining availability.

  • B. Incorrect.

    Although this option avoids peak usage hours, it still results in downtime during weekdays, when the application is actively used.

  • C. Correct.

    This is the best option as it avoids peak usage hours and schedules maintenance during a period of minimal traffic, ensuring minimal impact on the application.

  • D. Incorrect.

    This option would result in downtime during the weekends' daytime, which might still impact some users and is less optimal than scheduling maintenance during early morning hours.

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