Explanation:
Amazon Aurora Auto Scaling dynamically scales the number of Aurora Replicas based on user-defined metrics to handle sudden increases in read workloads. By setting a target value of 195 for the DatabaseConnections metric, Aurora will automatically provision additional read replicas right before the threshold of 200 connections is crossed, preserving the application's performance. Increasing instance size requires downtime, and serverless mode cannot be toggled back and forth instantly based on connection thresholds.
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Question 25
An application uses an Amazon Aurora MySQL DB cluster that includes one Aurora Replica. The application's read performance degrades when there are more than 200 user connections. The number of user connections is approximately 180 on a consistent basis. Occasionally, the number of user connections increases rapidly to more than 200.
A SysOps administrator must implement a solution that will scale the application automatically as user demand increases or decreases.
Which solution will meet these requirements?
A
Modify the DB cluster by increasing the Aurora Replica instance size.
B
Modify the DB cluster by changing to serverless mode whenever the number of user connections exceeds 200.
C
Migrate to a new Aurora DB cluster that has multiple writer instances. Modify the application's database connection string.
D
Create an auto scaling policy that has a target value of 195 for the DatabaseConnections metric.
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