Cloud+ Provisioning and Scaling Policies Quiz

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2. True or False: Scheduled scaling policies allow you to scale resources based on predictable time patterns.

True

False

3. Which metric typically triggers scale-down operations in auto-scaling policies?

CPU utilization below a specified threshold

Increased network bandwidth

Higher memory consumption

More active user sessions

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5. Container orchestration platforms like Kubernetes automate which cloud deployment function?

Container scheduling, scaling, and lifecycle management

Physical server hardware installation

Email notification delivery

User interface design

6. True or False: Spot instances are ideal for mission-critical production workloads requiring guaranteed availability.

True

False

7. What does a step scaling policy allow you to adjust based on metric thresholds?

Number of instances added or removed per step

Operating system kernel version

Physical data center location

User account permissions

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9. Which cloud service model provides pre-configured templates for rapid application deployment?

Platform as a Service (PaaS)

Software as a Service (SaaS)

Infrastructure as a Service (IaaS)

Desktop as a Service (DaaS)

10. True or False: Vertical scaling requires application downtime in most scenarios.

True

False

11. Which cloud provisioning model automatically allocates compute resources based on predefined templates?

Infrastructure as Code (IaC)

Manual server configuration

Static resource allocation

On-demand licensing

12. What does a target tracking scaling policy maintain in auto-scaling?

A specific metric value or percentage

Maximum memory usage

Minimum disk space

Network latency thresholds

13. Orchestration tools like Terraform and CloudFormation primarily enable which cloud function?

Infrastructure provisioning and configuration management

Real-time data analytics

User authentication

Email notification services

14. Which deployment strategy gradually replaces instances while maintaining application availability?

Rolling deployment

Big-bang deployment

Blue-green deployment

Canary deployment

15. True or False: Predictive scaling policies use machine learning to forecast future demand.

True

False

16. What is the purpose of a cooldown period in auto-scaling policies?

Prevents rapid scaling fluctuations and cost spikes

Allows instances to restart automatically

Synchronizes database updates

Reduces CPU temperature

17. Which policy type specifies the minimum and maximum number of instances in an auto-scaling group?

Capacity policy

Threshold policy

Performance policy

Scheduling policy

18. In cloud deployment, what does a 'scale-out' operation accomplish?

Adds more instances to a resource pool

Increases CPU cores on a single instance

Reduces network bandwidth

Removes unused storage volumes

19. Auto-scaling policies typically use which metric to trigger scaling events?

CPU utilization and memory consumption

Physical server temperature

Network cable length

Operating system version

20. What is the primary advantage of horizontal scaling over vertical scaling in cloud deployments?

Lower cost per unit and better fault tolerance

Easier to implement and manage

Requires less monitoring overhead

Eliminates the need for load balancers

Cloud+ Automated Provisioning and Scaling Policies Quiz

1. In cloud provisioning, idempotency ensures that repeated operations produce ____.

2.

What first name or nickname would you like us to use?

2. True or False: Scheduled scaling policies allow you to scale resources based on predictable time patterns.

3. Which metric typically triggers scale-down operations in auto-scaling policies?

4. Immutable infrastructure in cloud deployments replaces instances rather than updating them to ensure ____.

5. Container orchestration platforms like Kubernetes automate which cloud deployment function?

6. True or False: Spot instances are ideal for mission-critical production workloads requiring guaranteed availability.

7. What does a step scaling policy allow you to adjust based on metric thresholds?

8. A load balancer distributes incoming traffic across multiple instances to achieve ____.

9. Which cloud service model provides pre-configured templates for rapid application deployment?

10. True or False: Vertical scaling requires application downtime in most scenarios.

11. Which cloud provisioning model automatically allocates compute resources based on predefined templates?

12. What does a target tracking scaling policy maintain in auto-scaling?

13. Orchestration tools like Terraform and CloudFormation primarily enable which cloud function?

14. Which deployment strategy gradually replaces instances while maintaining application availability?

15. True or False: Predictive scaling policies use machine learning to forecast future demand.

16. What is the purpose of a cooldown period in auto-scaling policies?

17. Which policy type specifies the minimum and maximum number of instances in an auto-scaling group?

18. In cloud deployment, what does a 'scale-out' operation accomplish?

19. Auto-scaling policies typically use which metric to trigger scaling events?

20. What is the primary advantage of horizontal scaling over vertical scaling in cloud deployments?