220-1201 Practice Question: A technician is configuring a cloud-based virtual…

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

• ✗

  High availability

  Why it's wrong here

  High availability focuses on minimizing downtime by ensuring that a service remains accessible even if underlying hardware or software components fail. This is typically achieved through redundant systems, automatic failover, and rapid recovery mechanisms. While crucial for continuous operation, high availability does not inherently provide the automatic adjustment of computational resources, such as CPU or RAM, in response to fluctuating demand or traffic spikes.

• ✗

  Fault tolerance

  Why it's wrong here

  Fault tolerance is a more stringent form of resilience, designed to ensure continuous operation without any service interruption or data loss even when a component fails. This often involves maintaining identical, synchronized copies of systems or data, where a failure in one is immediately and transparently handled by another. While it provides robust protection against failures, fault tolerance mechanisms do not automatically scale the allocated resources of a virtual machine up or down to accommodate changes in user traffic or processing load.

• ✓

  Elasticity

  Why this is correct

  Elasticity is the ability of a cloud system to automatically and dynamically adjust its computational resources, such as CPU, memory, or network bandwidth, in real-time to match fluctuating demand. This capability allows a virtual machine to seamlessly scale up during periods of high traffic, like a sudden spike, and scale down when demand decreases, optimizing performance and cost efficiency without manual intervention. It directly addresses the need for automatic resource adjustment for traffic spikes.

• ✗

  Scalability

  Why it's wrong here

  Scalability refers to a system's inherent capacity to handle a growing amount of work or demand by adding resources. This can involve either scaling up (adding more resources to an existing VM) or scaling out (adding more VMs). However, scalability itself does not imply automatic resource adjustment; it merely denotes the potential for expansion, which often requires manual configuration or predefined rules rather than dynamic, real-time response to traffic spikes.