Explanation:
Amazon Aurora Auto Scaling automatically adjusts the number of Aurora Replicas in an Aurora DB cluster. It uses a target tracking scaling policy to adjust the number of replicas based on actual workloads. DatabaseConnections is a valid predefined metric for this policy. Setting the target to 195 allows the cluster to scale out (add replicas) before reaching the 200 connection threshold where performance degrades.
Ultimate access to all questions.
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.
E
N/A
F
N/A
No comments yet.