1. 1. What is the primary goal of virtualization in cloud computing

• To reduce data redundancy

• To allow users to discover physical resources

• To hide infrastructure details from users

• To replace physical servers with hardware firewalls

2. 2. What do application developers primarily focus on in a cloud computing environment?

• 2. Managing physical storage

• 2. Service logic

• 2. Infrastructure scalability

• 2. Server maintenance

3. 3. Which of the following is NOT typically a cloud platform design goal?

• High latency

• Scalability

• Resource efficiency

• Reliability

4. 4. What role does virtualization play in disaster recovery in cloud computing?

• 4. It prevents data backup

• 4. It delays system response

• 4. It supports system resilience and rapid recovery

• 4. It increases dependency on physical hardware

5. 5. In cloud computing, who is primarily responsible for managing physical infrastructure?

• 5. Cloud users

• 5. Application developers

• 5. Cloud service providers

• 5. System analysts

6. 6. Which layer typically manages all cloud services in a virtualized data center?

• 6. User Interface Layer

• 6. Resource Allocation Layer

• 6. Application Monitoring Layer

• 6. Cloud Management Layer

7. 7. Which of these is a responsibility of cloud service providers in a virtualized environment?

• 7. Handling physical resource failures

• 7. Developing user applications

• 7. Designing business logic

• 7. Managing user authentication only

8. 8. What aspect of cloud architecture ensures services remain uninterrupted during hardware failures?

• 8. Fault tolerance through virtualization

• 8. Data warehousing

• 8. Service orchestration

• 8. Manual reboot scripts

9. 9. In cloud platforms, where are virtual machines managed?

• Client-side applications

• Local data drives

• Backup repositories

• Hypervisor layer

10. 10. Efficient, and flexible deployment of cloud resources to provide dynamic computing environment to users is provided in which cloud-enabling Technology ?

• Virtual clusters on demand

• Fast platform deployment

• Massive data processing

• Distributed storage