Cloud Capacity Quiz: Can You Right-Size The Deployment?

1. What does 'elasticity' mean in cloud capacity planning?

The ability to quickly scale resources up or down based on demand

The durability of cloud infrastructure

The security of encrypted data

The geographic distribution of servers

2. The primary benefit of continuous capacity monitoring is:

Reducing the number of cloud administrators

Enabling data-driven decisions for optimization and cost control

Eliminating all performance issues

Avoiding cloud vendor lock-in

3. How does multi-region deployment affect capacity planning?

It eliminates the need for capacity planning

It increases complexity by requiring planning across multiple regions

It only applies to financial institutions

It guarantees 100% uptime without planning

4. Burstable instance types are best for which use case?

Consistent, high-performance computing tasks

Workloads with variable demand and occasional traffic spikes

Real-time data processing pipelines

GPU-intensive machine learning training

5. What is a 'right-sizing recommendation' typically based on?

Vendor profit margins

Historical usage data, performance metrics, and cost analysis

The largest available instance size

Random selection from available options

6. Which cloud service model requires the most capacity planning overhead?

SaaS (Software as a Service)

PaaS (Platform as a Service)

IaaS (Infrastructure as a Service)

All models require equal planning

7. Spot instances are typically used for which workload type?

Mission-critical applications requiring 99.99% uptime

Fault-tolerant, flexible-timing tasks at reduced cost

Real-time financial transactions

Databases with strict performance guarantees

8. What is the relationship between capacity planning and disaster recovery?

Capacity planning ensures sufficient resources for failover and redundancy

They are completely unrelated concepts

Disaster recovery eliminates the need for capacity planning

Capacity planning only applies to production environments

9. Which scenario best demonstrates the need for Cloud Capacity Planning (Cloud+)?

A startup running a single static website

An enterprise managing variable workloads across multiple regions

A company with fixed, unchanging resource needs

An organization avoiding cloud migration entirely

10. Underprovisioning cloud resources can cause which issue?

Unnecessary spending on unused resources

Performance degradation and application failures

Improved system reliability

Lower compliance requirements

11. What is the primary goal of cloud capacity planning?

Minimize infrastructure costs only

Ensure optimal resource allocation to meet demand while controlling costs

Maximize server utilization to 100%

Eliminate all on-premises infrastructure

12. Auto-scaling policies should be based on which metrics?

Fixed time schedules only

CPU, memory, and application-specific performance thresholds

Administrator preferences

Historical data without current monitoring

13. Which factor most influences cloud cost optimization?

Proper capacity planning and resource matching

Using only free-tier services

Avoiding cloud monitoring tools

Storing all data in the most expensive region

14. What is a reserved instance in cloud computing?

An instance reserved for emergency failover only

A commitment to use an instance for a set period at discounted rates

An instance that cannot be terminated

A temporary instance used for testing

15. Horizontal scaling is best suited for which scenario?

Single-threaded applications requiring more power

Stateless applications experiencing variable demand

Database workloads with strict consistency requirements

Legacy monolithic applications

16. Vertical scaling involves which action?

Adding more instances to distribute load

Upgrading an instance to a larger size

Removing unused cloud services

Migrating data between regions

17. Which tool or method helps identify underutilized cloud resources?

Performance monitoring and utilization reporting

Manual instance inspection only

Vendor marketing materials

Network bandwidth testing

18. What does 'right-sizing' mean in cloud environments?

Matching instance types to actual workload requirements

Using the largest available instance type

Reducing all resources to minimum levels

Purchasing reserved instances exclusively

19. Overprovisioning cloud resources typically results in which consequence?

Improved application performance

Reduced operational overhead

Higher-than-necessary infrastructure costs

Better disaster recovery capabilities

20. Which metric is most critical when right-sizing a cloud instance?

CPU utilization and memory consumption

Instance launch time

Network latency only

Storage encryption level

Cloud Capacity Quiz: Can You Right-Size the Deployment?