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DBS-C01 · Question #122

A large retail company recently migrated its three-tier ecommerce applications to AWS. The company's backend database is hosted on Amazon Aurora PostgreSQL. During peak times, users complain about…

The correct answer is A. Modify the application to commit transactions in batches. https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/AuroraPostgreSQL.Referenc "This wait most often arises when there is a very high rate of commit activity on the system. You can sometimes alleviate this wait by modifying applications to commit transactions in…

Submitted by sofia.br· Mar 6, 2026Monitoring and Troubleshooting

Question

A large retail company recently migrated its three-tier ecommerce applications to AWS. The company's backend database is hosted on Amazon Aurora PostgreSQL. During peak times, users complain about longer page load times. A database specialist reviewed Amazon RDS Performance Insights and found a spike in IO:XactSync wait events. The SQL attached to the wait events are all single INSERT statements. How should this issue be resolved?

Options

  • AModify the application to commit transactions in batches
  • BAdd a new Aurora Replica to the Aurora DB cluster.
  • CAdd an Amazon ElastiCache for Redis cluster and change the application to write through.
  • DChange the Aurora DB cluster storage to Provisioned IOPS (PIOPS).

How the community answered

(36 responses)
  • A
    56% (20)
  • B
    28% (10)
  • C
    11% (4)
  • D
    6% (2)

Explanation

https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/AuroraPostgreSQL.Referenc "This wait most often arises when there is a very high rate of commit activity on the system. You can sometimes alleviate this wait by modifying applications to commit transactions in batches. " https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/apg-waits.xactsync.html

Topics

#Aurora PostgreSQL#Performance Insights#IO:XactSync#transaction optimization#batch processing#performance tuning

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