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GSEC · Question #183

You are responsible for a Microsoft based network. Your servers are all clustered. Which of the following are the likely reasons for the clustering? Each correct answer represents a complete…

The correct answer is C. Load balancing D. Failover. Microsoft server clustering is implemented primarily to achieve load balancing across nodes and failover for high availability.

Defense in Depth and Protocols

Question

You are responsible for a Microsoft based network. Your servers are all clustered. Which of the following are the likely reasons for the clustering? Each correct answer represents a complete solution. Choose two.

Options

  • AReduce power consumption
  • BEase of maintenance
  • CLoad balancing
  • DFailover

How the community answered

(27 responses)
  • A
    7% (2)
  • B
    15% (4)
  • C
    78% (21)

Why each option

Microsoft server clustering is implemented primarily to achieve load balancing across nodes and failover for high availability.

AReduce power consumption

Clustering requires multiple servers to run simultaneously and typically increases total power consumption rather than reducing it, making power savings an incorrect reason.

BEase of maintenance

Clustering adds significant architectural and operational complexity - including shared storage, quorum management, and multi-node coordination - rather than simplifying maintenance tasks.

CLoad balancingCorrect

Load balancing in a cluster distributes incoming client requests or computational workloads across multiple nodes, preventing any single server from becoming a performance bottleneck and improving overall throughput.

DFailoverCorrect

Failover clustering provides high availability by automatically detecting node failures and transferring workloads to surviving healthy nodes, minimizing service downtime for critical applications.

Concept tested: Windows Server Failover Clustering purposes

Source: https://learn.microsoft.com/en-us/windows-server/failover-clustering/failover-clustering-overview

Topics

#server clustering#load balancing#failover#high availability

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