Question
Which of the following environmental changes is most likely to resolve a memory constraint error when running a complex model using distributed computing?
- A. Converting an on-premises deployment to a containerized deployment
- B. Migrating to a cloud deployment
- C. Moving model processing to an edge deployment
- D. Adding nodes to a cluster deployment Correct
Explanation
In distributed computing, the workload and data are partitioned across the nodes of a cluster, so adding nodes increases the total memory available and directly relieves a memory constraint. Containerizing or moving to the cloud changes how or where the workload is hosted but does not by itself add memory. Edge deployments typically have fewer resources, making memory constraints worse.
