Cloud Computing and Technology Integration Quiz

SaaS refers to delivering software applications over the internet, allowing users to access and use them without the need for local installation.

Cloud Computing often employs a pay-per-use pricing model, allowing users to pay for the resources they consume, promoting cost efficiency.

Auto-scaling dynamically adjusts resources in response to changing demand, optimizing performance and cost efficiency in Cloud Computing.

Cloud Computing often requires lower upfront costs compared to traditional on-premises infrastructure, promoting financial flexibility.

Private Cloud deployment model offers dedicated infrastructure exclusively for a single organization, providing enhanced security and control.

Physical hardware ownership is not a characteristic of Cloud Computing; instead, users access and utilize resources over the internet without owning the underlying hardware.

Community Cloud is a deployment model in Cloud Computing shared by multiple organizations with common concerns, fostering collaboration and resource sharing.

A load balancer in Cloud Computing evenly distributes incoming network traffic across multiple servers, optimizing resource utilization and preventing server overload.

Java is a widely used programming language for developing Cloud Computing applications due to its portability and platform independence.

Containers in Cloud Computing simplify application deployment, providing a consistent and portable environment across different systems.

Data sovereignty concerns in Cloud Computing relate to complying with regulations regarding the storage and processing location of data.

IaaS offers users maximum control over infrastructure components, allowing customization of virtualized resources.

CDNs in Cloud Computing enhance website performance by delivering content from servers geographically closer to users, reducing latency.

Fault tolerance mechanisms in Cloud Computing minimize downtime and ensure high availability by automatically responding to and recovering from system failures.

Serverless computing allows running applications without managing server infrastructure, automatically scaling based on demand.

Hypervisors in Cloud Computing virtualize physical hardware, enabling multiple operating systems to run on a single host, enhancing resource utilization.

Data sovereignty in Cloud Computing refers to complying with regulations that dictate where data can be stored and processed.