Selected MCQ

Current Question
What is 'edge AI'?
  • A. AI on centralized servers
  • B. AI algorithms running on local edge devices
  • C. AI for video games
  • D. AI robot limbs
Correct Answer: B
Explanation:
Edge AI refers to running AI inference on devices near data sources, such as cameras or sensors.
Related Question 1
What is the main idea of edge AI?
  • A. AI on mobile robots
  • B. Using AI algorithms directly on edge devices (e.g. cameras)
  • C. AI only in the cloud
  • D. AI in graphics cards
Correct Answer: B
Explanation:
Edge AI runs AI inference on devices near data sources, reducing latency and bandwidth usage.
Related Question 2
Which of these best describes 'edge computing' in the context of IT infrastructure?
  • A. Processing data near its source to reduce latency
  • B. Using more bandwidth on the central cloud
  • C. Encrypting all edge devices by default
  • D. Extending battery life of mobile devices
Correct Answer: A
Explanation:
Edge computing means processing data close to where it is generated to reduce latency.
Related Question 3
How does edge computing differ from cloud computing?
  • A. Edge computing processes data close to the source, reducing latency
  • B. Edge computing requires no security measures
  • C. Edge computing is only for mobile devices
  • D. Edge computing uses infinite storage
Correct Answer: A
Explanation:
Edge computing processes data close to the source (at the network edge), which reduces latency compared to sending everything to the cloud.