Based on observability data showing consistent high load on Tableau Server’s primary node, which architectural revision should be considered to improve performance?
A.
Switching to a different operating system for the Tableau Server
B.
Adding worker nodes to distribute the load more evenly across the server architecture
C.
Increasing the bandwidth of the network on which Tableau Server is hosted
D.
Consolidating all server processes on the primary node to simplify management
Adding worker nodes to distribute the load more evenly across the server architecture When observability data indicates a consistent high load on Tableau Server’s primary node, adding worker nodes is a strategic architectural revision to consider. This approach helps distribute the workload more evenly across the server, potentially improving performance and reducing the strain on the primary node. Option A is incorrect because switching the operating system does not directly address the issue of load distribution across the server architecture. Option C is incorrect as increasing network bandwidth, while beneficial for data transfer, does not resolve high load issues on the server’s primary node. Option D is incorrect because consolidating all processes on the prima-ry node would likely exacerbate the high load issue rather than alleviate it.
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