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SY0-701 · Question #646

SY0-701 Question #646: Real Exam Question with Answer & Explanation

The correct answer is A: Load balancer. A load balancer sits in front of multiple servers and distributes incoming traffic across them, which is exactly what's needed when you've scaled out to multiple virtual servers - it maximizes utilization, prevents any single server from being overwhelmed, and provides high avail

Submitted by katya_ua· Mar 6, 2026Security architecture

Question

A growing organization, which hosts an externally accessible application, adds multiple virtual servers to improve application performance and decrease the resource usage on individual servers. Which of the following solutions is the organization most likely to employ to further increase performance and availability?

Options

  • ALoad balancer
  • BJump server
  • CProxy server
  • DSD-WAN

Explanation

A load balancer sits in front of multiple servers and distributes incoming traffic across them, which is exactly what's needed when you've scaled out to multiple virtual servers - it maximizes utilization, prevents any single server from being overwhelmed, and provides high availability by rerouting traffic if a server goes down.

A jump server (B) is a hardened access point used to securely administer systems in a private network - it's a security tool, not a performance or availability tool. A proxy server (C) can cache content and filter requests, but its primary role is intermediary/security, not distributing load across a server farm. SD-WAN (D) optimizes wide-area network connectivity between locations - it's a networking infrastructure solution, not a mechanism for balancing traffic across application servers.

Memory tip: Think of a load balancer as a traffic cop standing in front of your server farm - it directs each incoming car (request) to whichever lane (server) is least congested. Whenever a question describes multiple servers + performance/availability, load balancer is almost always the answer.

Topics

#Load balancing#High availability#Application performance#Scalability

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