Distributed_Systems_Quiz_One

What is a distributed system?

• A system that has multiple processors working together on a single machine

• A system that is spread across multiple machines and connected by a network

• A system that has multiple users working together on a single machine

• A system that uses cloud-based technologies for data storage

Which of the following is a key challenge in designing distributed systems?

• Ensuring reliability and fault tolerance

• Maximizing throughput and minimising latency

• Providing a consistent and coherent view of shared data

• All of these

What is the purpose of a load balancer in a distributed system?

• To distribute work evenly across multiple machines

• To ensure that all machines have the same data

• To monitor the performance of each machine

• To provide fault tolerance in case a machine fails

Which of the following is not an example of a distributed system?

• Google Search

• Amazon AWS

• Microsoft Notepad

• Facebook

Which of the following is NOT a common architectural pattern used in distributed systems?

• Client-Server

• Peer-to-peer

• Centralised

What is vertical scaling?

• Adding more servers to a system to increase its capacity.

• Adding more resources to a single server to increase its capacity.

• Adding more storage devices to a system to increase its capacity.

• Adding more network devices to a system to increase its capacity.

Which of the following statements is true about edge computing?

• Edge computing involves processing data in a centralised data centre.

• Edge computing is primarily used for high-performance computing applications.

• Edge computing moves data processing closer to where the data is being generated.

• Edge computing is only used in cloud computing environments.

Answer explanation

Edge computing is a distributed computing paradigm that involves moving data processing closer to where the data is being generated, typically at the edge of the network, rather than in a centralised data centre This can help reduce latency, increase bandwidth efficiency, and improve application performance for devices and applications that require real-time or near-real-time processing.

Which of the following statements is true about grid computing?

• Grid computing is a type of centralised computing architecture.

• Grid computing involves connecting geographically distributed computers to create a virtual supercomputer.

• Grid computing is a type of cloud computing that provides on-demand access to computing resources.

Which of the following statements is true about message queues?

• Message queues are a type of distributed database.

• Message queues are primarily used for storing and retrieving data.

• Message queues allow asynchronous communication between different parts of a system.

• Message queues are only used for interprocess communication on a single computer.

Answer explanation

Message queues allow for asynchronous communication between different parts of a system, enabling them to communicate with each other without having to be online at the same time. This can help decouple different components and improve overall performance and scalability.

Which of the following statements is true about concurrency in distributed systems?

• Concurrency refers to the ability of a system to handle multiple tasks simultaneously.

• Distributed systems are not well-suited for concurrent processing.

• Locking and synchronisation are not necessary for achieving concurrency in distributed systems.

• Distributed systems are inherently serial, meaning that tasks can only be processed one at a time.

Answer explanation

Concurrency refers to the ability of a system to handle multiple tasks simultaneously. In a distributed system, concurrency is often achieved through parallel processing and task partitioning across multiple nodes. This can help improve performance and scalability, but it also introduces additional challenges related to synchronisation, consistency, and fault tolerance.