Autoscaling

What is the main purpose of scaling in cloud computing?

• To increase storage only 

• To adjust resource capacity to match workload demands

• To reduce network traffic

• To eliminate virtualization

Which of the following best describes auto-scaling?

• Manual adjustment of resources 

• Automatic adjustment of computing resources based on demand 

• Increasing storage only 

• Scheduled hardware upgrades 

Which is NOT a benefit of auto-scaling?

• Minimizes cost during low demand 

• Enhances service availability 

• Requires manual intervention 

• Optimizes performance during high demand 

What is a key limitation of traditional (manual) scaling?

• No downtime risk 

• Real-time elasticity 

• Requires human intervention and may cause downtime 

• Usage-based billing 

Which of the following is a characteristic of cloud scaling (as opposed to traditional scaling)?

• Static infrastructure 

• Manual adjustments 

• On-demand, virtualized resources 

• Over-provisioning for peak loads 

What is vertical scaling (scale-up)?

• Adding more servers to distribute workload 

• Upgrading resources (CPU, RAM) in a single node Upgrading resources (CPU, RAM) in a single node 

• Removing nodes from a cluster 

• Scaling out with containers 

Which scenario is vertical scaling best suited for?

• Stateless web servers 

• Containerized microservices 

• Legacy or monolithic applications 

• Distributed NoSQL databases 

What is a disadvantage of vertical scaling?

• No downtime during upgrades 

• Physical hardware limits 

• Requires stateless application design 

• Involves complex load balancing 

What is horizontal scaling (scale-out)?

• Increasing the capacity of a single server 

• Adding more nodes to distribute the workload 

• Upgrading RAM only 

• Reducing the number of virtual machines 

Which is an advantage of horizontal scaling?

• No downtime-resources added during runtime 

• Requires system shutdown 

• Not suitable for distributed apps 

• Only for legacy applications