Question 1
A financial services company is using Qlik Replicate to stream transactional data from an on-premises Oracle database to a Kafka topic. During a period of high market volatility, the replication task latency increases significantly, and the task eventually fails with 'out of memory' errors. The Replicate server has 64GB of RAM. Which configuration change is most likely to provide a stable, long-term solution for handling these data bursts?
Answer and explanation
Correct answer: B
Enabling 'Store changes on disk' allows Replicate to offload in-flight transactions from memory to disk when memory pressure is high. This is the most effective mechanism for handling large transactional bursts that exceed available RAM, preventing 'out of memory' errors and providing a stable solution for volatile workloads without requiring a server hardware upgrade.