QUIZ 2 - OVERVIEW OF IT INFRA

What is the primary goal of grid computing?

• To create a local network for a single organization.

• To distribute computing tasks across a global network of computers.

• To develop high-performance clusters for scientific research.

• To maximize the processing power of a single computer.

In grid computing, what is a "grid" composed of?

• Only supercomputers.

• Multiple clusters within a single data center.

• Geographically dispersed resources from various organizations.

• A single server and its clients.

What is a key advantage of grid computing?

• Centralized control and management.

• Limited scalability and resource sharing.

• Cost-effectiveness and enhanced resource utilization.

• Exclusively local access to computing resources.

Which type of computing best describes grid computing's approach to resource allocation?

• Centralized computing.

• Decentralized computing.

• Cloud computing.

• Mainframe computing.

What is the main characteristic of cluster computing?

• A distributed network of geographically dispersed computers.

• A tightly integrated group of interconnected computers.

• A form of cloud computing that uses clusters.

• A single supercomputer with high processing power.

How does load balancing work in cluster computing?

• It allocates tasks evenly among the cluster nodes.

• It centralizes all processing on one node.

• It limits the number of nodes to balance load.

• It doesn't apply to cluster computing.

What is the primary purpose of cluster computing?

• To enable geographically dispersed collaboration.

• To connect computers in a non-networked environment.

• To achieve high performance and scalability for specific tasks.

• To distribute computing tasks across a global network.

In cluster computing, how are nodes typically connected?

• Through a wide-area network (WAN).

• Via the internet.

• Locally, using a high-speed, low-latency network.

• Over long distances with a focus on redundancy.

What is a key difference between grid computing and cluster computing?

• Grid computing typically uses a centralized approach, while cluster computing is decentralized.

• Cluster computing involves geographically dispersed resources, while grid computing uses tightly integrated clusters.

• Grid computing focuses on high-performance computing, while cluster computing is primarily used for collaboration.

• Cluster computing relies on a global network, whereas grid computing relies on a local area network.

How are resources in grid computing and cluster computing allocated differently?

• Grid computing allocates tasks to a single supercomputer, while cluster computing uses multiple interconnected computers.

• Grid computing evenly distributes tasks across geographically dispersed resources, while cluster computing focuses on local resource sharing.

• Grid computing uses a high-speed local network for resource sharing, while cluster computing relies on wide-area networks.

• Both grid and cluster computing follow the same resource allocation strategy.