Similar MCQs

Technological Knowledge Similar MCQs

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Selected MCQ

Current Question
What does 'fog computing' refer to?
  • A. Computing at centralized cloud servers
  • B. Extending cloud services to the network edge
  • C. A type of fog
  • D. Removing latency entirely
Correct Answer: B
Explanation:
Fog computing distributes computing, storage, and communication services closer to edge devices.
Related Question 1
In cloud computing, what does "scalability" typically refer to?
  • A. Adding more features to an application
  • B. Ability to handle growing workloads by provisioning more resources
  • C. Scaling down the software user interface
  • D. Securing data encryption algorithms
Correct Answer: B
Explanation:
Scalability means the system can grow or shrink its resources to handle varying workloads.
Related Question 2
What is 'fog computing'?
  • A. Using cloud far away
  • B. Processing data close to network edge devices
  • C. Weather-based data processing
  • D. Computing without electricity
Correct Answer: B
Explanation:
Fog computing moves some cloud services to the network edge, closer to end devices.
Related Question 3
What is a key feature of quantum computing that offers computational advantages?
  • A. Using vacuum tubes
  • B. Superposition and entanglement
  • C. Fiber optic circuits
  • D. DC power only
Correct Answer: B
Explanation:
Quantum superposition and entanglement enable certain calculations to be done much faster.
Related Question 4
What is a major challenge in large-scale quantum computing today?
  • A. Lack of electricity
  • B. Qubit decoherence and error rates
  • C. Too much classical memory
  • D. No known algorithms
Correct Answer: B
Explanation:
Keeping qubits coherent and reducing errors are key challenges in building large quantum computers.
Related Question 5
What is a key feature of quantum computing that can offer speedups?
  • A. Using vacuum tubes
  • B. Superposition and entanglement
  • C. Fiber optic circuits
  • D. DC power only
Correct Answer: B
Explanation:
Quantum superposition and entanglement enable parallelism that can speed up tasks like factoring.

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