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Cloud Computing MCQs with Answers

Practice important Cloud Computing MCQs with answers and explanations.

Multiple Choice Questions

Q51: CPU scavenging in grid computing involves using ______ during periods of inactivity.
  • A: unused CPU cycles
  • B: primary CPU cycles
  • C: reserved CPU cycles
  • D: external CPU cycles
View Answer
A

Q52: ______ is an example of a grid computing project that used millions of computers for data processing.
  • A: SETI@Home
  • B: Amazon AWS
  • C: Salesforce
  • D: Microsoft Azure
View Answer
A

Q53: What layer in grid computing focuses on the interaction among resources and handles functions like scheduling?
  • A: Application
  • B: Collective Services
  • C: Resource Service
  • D: Grid Fabric
View Answer
B

Q54: In grid computing, which layer is responsible for networking among computational resources?
  • A: Resource Service
  • B: Application
  • C: Connectivity Layer
  • D: Grid Fabric
View Answer
C

Q55: The grid fabric consists of ______.
  • A: user applications
  • B: all computational resources
  • C: network security protocols
  • D: scheduling algorithms
View Answer
B

Q56: Grid computing allows ______ to donate resources like RAM, disk space, and network bandwidth voluntarily.
  • A: grid hosts
  • B: end users
  • C: businesses
  • D: cloud providers
View Answer
A

Q57: Which layer in grid computing architecture contains user applications to be run on the grid?
  • A: Connectivity Layer
  • B: Application
  • C: Grid Fabric
  • D: Resource Service
View Answer
B

Q58: CPU scavenging is commonly used to build ______ in grid computing.
  • A: virtual grids
  • B: private clouds
  • C: supercomputers
  • D: data centers
View Answer
A

Q59: In grid computing, the resource service layer deals with ______.
  • A: user interactions
  • B: computational resources
  • C: network communication
  • D: data backups
View Answer
B

Q60: Grid computing became popular due to its ability to ______.
  • A: reduce energy costs
  • B: enable fast information retrieval
  • C: manage large amounts of data locally
  • D: provide limited computational power
View Answer
B

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