Capacity Planning

Question 1 of 6

An e-commerce website experiences application slowdowns and eventually an outage during a major sale event. Which capacity planning failure does this represent?

Overcapacity — too much supply relative to demand Undercapacity — demand exceeded available supply Right-sizing failure — instances were too large Elasticity failure — auto-scaling triggered incorrectly

Question 2 of 6

A company wants to increase its web server capacity. It currently has one server and wants to add nine more behind a load balancer so all ten share the traffic. Which scaling strategy is this?

Vertical scaling — adding more resources to one server Auto-scaling — automatic based on demand metrics Horizontal scaling — adding more servers to distribute the load Database sharding — splitting data across multiple servers

Question 3 of 6

An organization needs to add server capacity immediately to handle an unexpected traffic surge. Which infrastructure type allows provisioning in minutes with no hardware to purchase or install?

Cloud-based infrastructure Physical on-premises infrastructure Colocation data center infrastructure Vertical infrastructure

Question 4 of 6

A security operations center needs to staff up for a major product launch that will increase monitoring workload by 60% for 90 days. The launch is 10 weeks away. Which aspect of capacity planning makes this timeline challenging?

Technology scalability — software cannot be upgraded quickly enough Infrastructure provisioning — cloud resources take too long to configure Database sharding — transaction complexity limits throughput People capacity — hiring and training to full productivity takes weeks to months

Question 5 of 6

A system is configured to automatically add cloud instances when average CPU utilization exceeds 70% for five minutes, and remove instances when it drops below 25% for fifteen minutes. What capacity concept does this describe?

Right-sizing Elasticity (auto-scaling) Vertical scaling Capacity forecasting

Question 6 of 6

A database administrator divides a 600-million-row customer database across four servers, assigning customers A–F to server 1, G–M to server 2, N–S to server 3, and T–Z to server 4. What technique is being used?

Database clustering — multiple servers working together on the same data Vertical scaling — upgrading each server with more resources Database sharding (partitioning) — dividing data across multiple servers Load balancing — distributing queries across servers

Matching

1. A team adds more RAM and faster storage to an existing database server so it can handle more concurrent transactions without redesigning the application.

2. An organization identifies through trend analysis that storage will be exhausted in 4 months and orders expansion hardware now, before any performance impact occurs.

3. A company's servers are running at 6% CPU utilization month after month. Each server still consumes power, rack space, and cooling costs regardless.

4. An IT team needs 10 new servers, but after identifying the need, they must wait 3 weeks for delivery, then spend 2 more days on installation and configuration before the servers are available.

1. 2. 3. 4.

A. Physical on-premises infrastructure

B. Vertical scaling

C. Overcapacity (waste)

D. Proactive forecasting

Capacity Planning — Quiz

Matching