Distributed Systems Quiz

The ability of a system to handle increasing workloads by adding more components or resources.

The feature of a distributed system that allows it to continue operating even if one or more parts fail.

The process of hiding the complexity of a distributed system from users and applications.

The ability of a system to support multiple users working on the same data or tasks simultaneously.

The degree to which a system's components are open to modification, extension, and sharing.

Distributed systems can easily grow by adding more computers, allowing them to handle increased demand.

If one part of a distributed system fails, others can take over, making it more resilient.

Workloads can be split across multiple computers, resulting in faster task completion and improved overall performance.

Private cloud provides superior security and privacy compared to public cloud options due to better control over data and access restrictions.

Private clouds enable organizations to customize resources like storage and networks to meet their unique needs and optimize performance.

Private clouds allow organizations to expand or shrink their infrastructure based on demand, ensuring efficient resource utilization.

Private clouds offer better control over underlying infrastructure, resulting in increased performance and reliability.

Private cloud enables easier compliance with industry regulations and data security standards due to greater control over security measures and data governance.

Private clouds can be seamlessly integrated with public cloud services, creating a hybrid cloud environment that combines the benefits of both.

Private cloud offers a high degree of control and management for organizations, putting them in charge of their own infrastructure.

Private cloud is ideal for organizations with strict security requirements, needing a dedicated and secure platform for their data.

A type of computing that utilizes multiple processing units working simultaneously to solve problems.

Computing that processes tasks one after another, using a single processor.

Dividing a complex problem into smaller, independent tasks that can be solved concurrently by multiple processing units.

The advantage of parallel computing over serial computing, where multiple processors work concurrently, reducing the time required to complete a task.

The benefit of parallel computing over serial computing, where multiple processors can complete a task using fewer resources, ultimately reducing costs.

Parallel computing allows you to solve larger and more complex problems that would be impractical or impossible to solve with a single processor.

Parallel computing can utilize resources from different locations, expanding computational capacity beyond local limitations.

Parallel computing is beneficial when local computing resources are limited, allowing access to additional computational power.

A cloud infrastructure shared by a group of organizations with common interests (e.g., healthcare, government).

A system designed to be accessed by multiple organizations. It uses common infrastructure and services to meet those organizations' shared needs.

Community Clouds provide services, applications, and data tailored to the specific requirements and challenges faced by the organizations within that community.

The infrastructure is managed by one or more organizations in the community, a third party, or a combination of both. This ensures alignment with the shared needs and goals of the community.

Community Clouds prioritize security and compliance measures relevant to the specific community. This includes access management, robust security controls, and adhering to industry standards.

Sharing infrastructure and resources among community members leads to cost savings for each organization. This reduces the overall financial burden of establishing and maintaining a cloud environment.

Community Clouds promote collaboration and knowledge sharing among participating organizations, allowing them to work together on projects, share information, and leverage resources effectively.

A cloud technology that provides specialized services and resources for a specific group of organizations within a specific industry or sector.

Performance in Infrastructure as a Service (IaaS) can fluctuate due to shared resources and multi-tenancy, impacting application response times.

Internet access is crucial for IaaS, and any disruptions or connectivity issues can significantly impact productivity and business operations.

Using and managing IaaS requires technical expertise, often necessitating training or hiring outside expertise.

While providing scalability and flexibility, IaaS can lead to uncontrolled costs if resource utilization is not closely monitored and managed.

Platform as a Service (PaaS) provides a runtime environment where developers can easily create, test, run, and deploy web applications without managing the underlying infrastructure.

PaaS providers offer various programming languages, allowing developers to choose their preferred language for application development.

PaaS platforms often provide pre-configured application frameworks to streamline the development process, reducing the amount of code developers need to write from scratch.

Examples of PaaS platforms include Google App Engine, Force.com, Joyent, and Azure, offering different features and pricing options.

Software as a Service (SaaS) applications are web-based, meaning users access them through their web browser without needing to install software on their computers. This eliminates the need for different software versions for different users, as everyone uses the same online version.

SaaS providers maintain and support the software and hardware, reducing the workload on IT departments. Users simply access the service, freeing them from managing updates and troubleshooting issues.

SaaS applications are designed to be accessible from various devices, such as desktops, laptops, tablets, and smartphones. This flexibility allows users to work from anywhere, anytime.

SaaS services typically rely on APIs to communicate and integrate with other software or web services, enhancing their functionality and connectivity.

SaaS services do not require users to install any software on their machines. All the processing happens on the service provider's servers, enabling instant access and reducing setup time.