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A service is experiencing unexpectedly high volumes of traffic. Some components of the system are able to keep up with the workload, but others are unable to process the volume of requests. These services are returning a large number of internal server errors. Developers need to release a patch as soon as possible that provides some relief for an overloaded relational database service. Both memory and CPU utilization are near 100 percent. Horizontally scaling the relational database is not an option, and vertically scaling the database would require too much downtime. What strategy would be the fastest to implement?

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A service is experiencing unexpectedly high volumes of traffic. Some components of the system are able to keep up with the workload, but others are unable to process the volume of requests. These services are returning a large number of internal server errors. Developers need to release a patch as soon as possible that provides some relief for an overloaded relational database service. Both memory and CPU utilization are near 100 percent. Horizontally scaling the relational database is not an option, and vertically scaling the database would require too much downtime. What strategy would be the fastest to implement?






 
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