Update managed-redis-how-to-scale.md

Author: MSFTeegarden

articles/azure-cache-for-redis/managed-redis/managed-redis-how-to-scale.md

@@ -37,9 +37,9 @@ There are four tiers of Azure Managed Redis available, each with different perfo
 
 Three tiers are for in-memory data:
 
-- _Memory Optimized_. Ideal for memory-intensive use cases that require a high memory-to-vCPU ratio (1:8) but don't need the highest throughput performance. It provides a lower price point for scenarios where less processing power or throughput is necessary, making it an excellent choice for development and testing environments.
-- _Balanced (Memory + Compute)_. Offers a balanced memory-to-vCPU (1:4) ratio, making it ideal for standard workloads. It provides a healthy balance of memory and compute resources.
-- _Compute Optimized_. Designed for performance-intensive workloads requiring maximum throughput, with a low memory-to-vCPU (1:2) ratio. It's ideal for applications that demand the highest performance.
+- _Memory Optimized_. Ideal for memory-intensive use cases that require a high memory-to-vCPU ratio (8:1) but don't need the highest throughput performance. It provides a lower price point for scenarios where less processing power or throughput is necessary, making it an excellent choice for development and testing environments.
+- _Balanced (Memory + Compute)_. Offers a balanced memory-to-vCPU (4:1) ratio, making it ideal for standard workloads. It provides a healthy balance of memory and compute resources.
+- _Compute Optimized_. Designed for performance-intensive workloads requiring maximum throughput, with a low memory-to-vCPU (2:1) ratio. It's ideal for applications that demand the highest performance.
 
 One tier stores data both in-memory and on-disk: