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
When you run into a memory constraint in a distributed computing setting, one of the most direct ways to address that issue is to increase the total memory resources in the cluster. Simply moving to a different deployment model (e.g., cloud or containers) does not necessarily solve the memory bottleneck unless you specifically add more nodes or more powerful nodes with greater memory capacity.
Therefore, the option most likely to resolve a memory constraint error in a distributed computing environment is:
D. Adding nodes to a cluster deployment.
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SuntzuLegacy
1 month, 1 week ago