✅ 50 Solved MCQs on Edge Computing (With Explanations) 1. What is Edge Computing? A) Centralized computing B) Computing at the edge of t...
✅ 50 Solved MCQs on Edge Computing (With Explanations)
1. What is Edge Computing?
A) Centralized computing
B) Computing at the edge of the network
C) Computing in the cloud
D) Only mobile computing
✅ Answer: B
Explanation: Edge computing processes data near the data source (like sensors/devices), reducing the need to send it to centralized data centers.
2. What is the main benefit of edge computing?
A) Higher latency
B) Slower processing
C) Reduced latency
D) Increased bandwidth usage
✅ Answer: C
Explanation: By processing data close to where it’s generated, edge computing reduces latency.
3. Which of the following is an example of edge computing?
A) A central cloud server storing data
B) A smartphone analyzing video in real-time
C) A data center running AI models
D) A storage backup system
✅ Answer: B
Explanation: A smartphone analyzing video locally without sending it to the cloud is an edge computing application.
4. Edge devices are often:
A) Large servers
B) Supercomputers
C) Low-power, distributed devices
D) Mainframes
✅ Answer: C
Explanation: Edge devices are small, local devices like sensors, routers, or smartphones that handle computation.
5. Edge computing is most useful when:
A) High latency is acceptable
B) Real-time processing is needed
C) Data can be delayed
D) Tasks need cloud training
✅ Answer: B
Explanation: It's ideal when instant data analysis is needed, such as in autonomous vehicles or health monitors.
6. Which sector benefits most from edge computing?
A) Banking only
B) Agriculture only
C) Applications needing real-time processing
D) Offline book storage
✅ Answer: C
Explanation: Applications like smart traffic systems, factory automation, and healthcare use edge computing to respond instantly.
7. What is "latency" in edge computing?
A) Data speed
B) Delay in processing
C) Storage limit
D) CPU capacity
✅ Answer: B
Explanation: Latency is the time delay between data input and the result/output.
8. What challenge is solved by edge computing compared to cloud computing?
A) Expensive hardware
B) Network congestion and latency
C) More storage
D) Energy loss
✅ Answer: B
Explanation: It reduces the amount of data sent over the internet, decreasing bandwidth usage and delay.
9. What is a “smart” edge device?
A) Any connected device
B) A programmable washing machine
C) An edge device with compute and AI capability
D) A mobile phone only
✅ Answer: C
Explanation: Smart edge devices can process data, make decisions, and run AI models locally.
10. Which one is an edge computing platform?
A) Google BigQuery
B) AWS Lambda
C) Microsoft Azure IoT Edge
D) Oracle Cloud
✅ Answer: C
Explanation: Azure IoT Edge extends cloud intelligence to edge devices.
11. Edge computing is often paired with:
A) Quantum computing
B) Human input
C) IoT (Internet of Things)
D) Satellite TV
✅ Answer: C
Explanation: IoT devices generate large data volumes, which can be efficiently processed at the edge.
12. One major risk in edge computing is:
A) Faster processing
B) Lower latency
C) Security at the edge
D) High cloud storage
✅ Answer: C
Explanation: Edge devices are often more vulnerable due to being distributed and outside the main security perimeter.
13. What distinguishes fog computing from edge computing?
A) Fog happens only in datacenters
B) Fog is a form of networking
C) Fog computing uses intermediate nodes between edge and cloud
D) Fog is unrelated to edge
✅ Answer: C
Explanation: Fog computing acts as a bridge by processing data in intermediate layers before reaching the cloud.
14. Which company provides an edge computing framework called "Greengrass"?
A) IBM
B) Amazon
C) Microsoft
D) Intel
✅ Answer: B
Explanation: AWS Greengrass lets you run local compute, messaging, and data caching on connected devices.
15. Which type of data is best handled by edge computing?
A) Static archived data
B) Bulk financial reports
C) Time-sensitive and real-time data
D) Historical data
✅ Answer: C
Explanation: Real-time data benefits most from reduced latency and immediate processing.
16. In edge computing, data processing occurs:
A) In large cloud centers
B) On the user device or nearby node
C) In government databases
D) On satellites
✅ Answer: B
Explanation: Processing happens closer to where the data is generated.
17. Which is not a use case of edge computing?
A) Self-driving cars
B) Smart grids
C) VR/AR applications
D) Offline backup to tape
✅ Answer: D
Explanation: Offline tape backup is not a latency-sensitive or real-time edge task.
18. Edge computing improves:
A) Network noise
B) Physical storage
C) Response time
D) Satellite positioning
✅ Answer: C
Explanation: It allows real-time or near real-time responses by processing data locally.
19. What type of applications require ultra-low latency?
A) eBook readers
B) Industrial robots
C) Website blogs
D) Email clients
✅ Answer: B
Explanation: Industrial automation requires near-instant decisions, which edge computing enables.
20. Which of these is an example of edge AI?
A) AI model in cloud
B) AI chip in a drone for obstacle avoidance
C) Data warehouse
D) Web search engine
✅ Answer: B
Explanation: Drones with onboard AI chips for decision-making represent edge AI.
21. What is a gateway in edge computing?
A) Exit door for devices
B) Router
C) Device that connects sensors to the cloud
D) A blockchain wallet
✅ Answer: C
Explanation: A gateway aggregates and transmits sensor data and may perform local processing.
22. Edge computing minimizes:
A) Compute power
B) Processing units
C) Data movement to cloud
D) Memory
✅ Answer: C
Explanation: By processing data locally, it avoids sending everything to centralized servers.
23. In healthcare, edge computing is useful for:
A) Delayed reports
B) Paper record storage
C) Real-time patient monitoring
D) Medical billing
✅ Answer: C
Explanation: Devices like heart monitors need immediate data analysis, which edge computing enables.
24. Which of these is a major advantage of edge computing?
A) Requires constant internet
B) Lower power devices
C) Scalability without latency
D) Unlimited storage
✅ Answer: C
Explanation: Edge computing can scale to many devices without central bottlenecks.
25. Which component is common in edge architecture?
A) Remote keyboard
B) Data lake
C) Local compute node
D) GPU server
✅ Answer: C
Explanation: Edge architecture includes local nodes for processing near the source.
26. Edge computing is a key part of:
A) Web 1.0
B) Old mainframes
C) Industry 4.0
D) LAN networks
✅ Answer: C
Explanation: Industry 4.0 uses smart, connected devices requiring local and fast computing.
27. What reduces the dependency on cloud bandwidth in edge computing?
A) Compressing images
B) Local processing
C) SSD storage
D) Low power chips
✅ Answer: B
Explanation: Local processing reduces how much data is sent to cloud systems.
28. Autonomous cars rely on edge computing to:
A) Play radio
B) Update software
C) Process driving decisions instantly
D) Display GPS maps
✅ Answer: C
Explanation: Cars must make driving decisions in milliseconds, which requires local computing.
29. Edge computing supports which of the following in smart homes?
A) Weather alerts
B) Local decision-making (e.g., turning off lights)
C) Remote Netflix access
D) Cable TV
✅ Answer: B
Explanation: Smart home devices act on sensor input locally (e.g., motion detection).
30. The main challenge in edge computing is:
A) Latency
B) Cloud access
C) Device security
D) Fiber optic availability
✅ Answer: C
Explanation: Distributed edge devices are harder to secure than centralized systems.
31. Edge computing avoids:
A) Real-time data
B) Cloud security
C) Data transfer delays
D) Wireless devices
✅ Answer: C
Explanation: It processes data locally, avoiding long-distance transfers.
32. 5G enhances edge computing by:
A) Blocking traffic
B) Increasing hardware cost
C) Providing ultra-low latency connectivity
D) Increasing data size
✅ Answer: C
Explanation: 5G networks support fast, low-latency communication ideal for edge applications.
33. A major goal of edge AI is:
A) Model compression
B) Data deletion
C) Real-time decisions on edge
D) Logging data
✅ Answer: C
Explanation: Edge AI enables devices to process data and act without relying on the cloud.
34. Which protocol is often used in edge IoT communication?
A) SMTP
B) MQTT
C) FTP
D) HTTP
✅ Answer: B
Explanation: MQTT is a lightweight protocol ideal for IoT and edge environments.
35. Edge computing saves:
A) Hard disk space
B) Time and bandwidth
C) GPU resources
D) Money for internet companies
✅ Answer: B
Explanation: By reducing cloud dependency, edge computing saves time and network usage.
36. Which layer comes after edge in computing architecture?
A) Sensor
B) Cloud
C) Edge again
D) LAN
✅ Answer: B
Explanation: After edge devices process data, the remaining or summarized data goes to the cloud.
37. Edge analytics refers to:
A) Spreadsheet analysis
B) Cloud-based ML
C) Real-time data analysis at the edge
D) Marketing dashboards
✅ Answer: C
Explanation: It processes and analyzes data near where it is created.
38. Which industry does NOT commonly use edge computing?
A) Manufacturing
B) Gaming
C) Transportation
D) Book publishing
✅ Answer: D
Explanation: Book publishing doesn’t typically require real-time data or automation.
39. A micro data center is:
A) A mini server rack for edge locations
B) A virtual machine
C) A database
D) A router
✅ Answer: A
Explanation: It’s a compact data center deployed at edge sites.
40. The edge layer typically includes:
A) End-user dashboards
B) Actuators and local controllers
C) Excel sheets
D) CRM tools
✅ Answer: B
Explanation: These are devices that interact with the physical world and perform real-time tasks.
41. Which is faster: Edge or Cloud computing (for local data)?
A) Edge
B) Cloud
C) Equal
D) Depends on location
✅ Answer: A
Explanation: Edge computing eliminates travel time to cloud servers, making it faster for local tasks.
42. Edge computing requires:
A) Huge data centers
B) High latency tolerance
C) Local computing capability
D) Satellite support
✅ Answer: C
Explanation: Devices must be capable of computing independently at the edge.
43. Edge computing helps reduce:
A) Edge device count
B) Network traffic and cloud costs
C) Electricity usage only
D) Internet availability
✅ Answer: B
Explanation: Local processing reduces the need for constant cloud communication.
44. Edge computing architecture is typically:
A) Flat
B) Centralized
C) Distributed
D) Linear
✅ Answer: C
Explanation: Devices are spread out and work independently or in small groups.
45. Edge AI models are usually:
A) Very large
B) Very simple
C) Lightweight and optimized
D) Cloud dependent
✅ Answer: C
Explanation: They are compressed or quantized to fit on limited-resource devices.
46. What enables edge devices to run AI?
A) Cloud access
B) High-speed fans
C) Edge AI accelerators (e.g., GPUs, TPUs)
D) Large batteries
✅ Answer: C
Explanation: Specialized hardware accelerates AI inference on-device.
47. Edge computing helps with which smart city function?
A) Movie streaming
B) Smart lighting and traffic control
C) Airplane navigation
D) Online payments
✅ Answer: B
Explanation: Real-time responses are needed for smart infrastructure.
48. Edge nodes can:
A) Only sense
B) Only store data
C) Sense, process, and act
D) Replace cloud
✅ Answer: C
Explanation: Edge nodes can capture, analyze, and respond to data locally.
49. In edge computing, raw data is:
A) Always sent to cloud
B) Deleted
C) Processed locally
D) Compressed
✅ Answer: C
Explanation: Data is analyzed near its source to reduce transfer and response time.
50. What role does AI play at the edge?
A) Controls hardware
B) Makes automated decisions in real-time
C) Connects Wi-Fi
D) Plays media
✅ Answer: B
Explanation: AI allows edge devices to analyze and act without human intervention.
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