2V0-32.24 Question 67
Single answerYou are tasked with designing a vRealize Operations deployment for a customer. The customer's environment consists of 5 vCenters managing a total of 2,000 virtual machines. The customer wants to enable predictive analytics and integrate with vRealize Log Insight. They also plan to scale up their environment to 4,000 virtual machines within the next year. Which deployment configuration should you recommend?
- A
Single-node deployment with 16 vCPUs and 48 GB RAM
- B
Three-node cluster deployment with each node having 8 vCPUs and 32 GB RAM
- C
Three-node cluster deployment with each node having 16 vCPUs and 48 GB RAM
- D
Four-node cluster deployment with each node having 16 vCPUs and 48 GB RAM
Show answer and explanation
Correct answer: C
Explanation
The recommended deployment for this scenario is a three-node cluster, with each node configured with sufficient resources (16 vCPUs and 48 GB RAM). This configuration provides adequate performance for the current 2,000 VMs, supports predictive analytics and integration with vRealize Log Insight, and is scalable to meet the future requirement of 4,000 VMs. A single-node deployment would not meet the performance or redundancy requirements, and a four-node cluster would be unnecessarily costly.
- A. Incorrect.
A single-node deployment is insufficient for the scale of 2,000+ VMs and lacks redundancy. Additionally, it is not recommended for future scaling to 4,000 VMs.
- B. Incorrect.
This configuration is underpowered for the customer’s current and future requirements. A three-node cluster with only 8 vCPUs and 32 GB RAM per node is inadequate for managing predictive analytics and integration with vRealize Log Insight at this scale.
- C. Correct.
This configuration is suitable as it provides sufficient resources per node (16 vCPUs and 48 GB RAM) to handle the current 2,000 VMs, predictive analytics, and integration with vRealize Log Insight. It also offers redundancy and scalability to accommodate the planned increase to 4,000 VMs.
- D. Incorrect.
While a four-node cluster offers additional redundancy, it is not necessary in this scenario. The three-node cluster with 16 vCPUs and 48 GB RAM per node already meets the scale and performance requirements, making this option cost-inefficient.