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Edge Computing MCQs (Multiple-Choice Questions)

Practice Edge Computing MCQs to test your knowledge of distributed computing, edge architecture, application deployment, virtualization, IoT processing, Multi-access Edge Computing, and cloud-edge integration. These questions cover how computation and data processing are moved closer to users, devices, and data sources to support low-latency and real-time applications. They are useful for students, developers, cloud engineers, networking professionals, and candidates preparing for technical interviews and examinations. The set includes both foundational and practical questions covering modern Edge Computing systems.

Edge Computing MCQs

These Edge Computing multiple-choice questions cover important concepts such as edge nodes, edge devices, cloud-edge architecture, Multi-access Edge Computing (MEC), edge data centers, fog computing, cloudlets, application offloading, virtualization, containers, orchestration, workload placement, latency, bandwidth, caching, IoT, V2X, real-time analytics, AI inference, distributed computing, service discovery, network information exposure, edge security, privacy, mobility, and edge-cloud coordination.

Edge Computing MCQs cover the technologies used to process data closer to where it is generated or consumed. Each question includes an answer and explanation.

List of Edge Computing MCQs

The following Edge Computing multiple-choice questions cover edge architecture, MEC, distributed workloads, virtualization, networking, IoT, AI, security, and practical edge deployment scenarios.

1. What is the primary concept behind Edge Computing?

  1. Moving all processing to a central cloud
  2. Processing data closer to its source or users
  3. Replacing all local devices with mainframes
  4. Eliminating distributed systems

Answer: B) Processing data closer to its source or users

Explanation:

Edge Computing places computation and data processing closer to where data is generated or consumed, reducing dependence on distant centralized infrastructure.

2. Which is a major benefit of Edge Computing for latency-sensitive applications?

  1. Increased physical distance to servers
  2. Reduced network round-trip time
  3. Elimination of local processing
  4. Higher dependency on remote data centers

Answer: B) Reduced network round-trip time

Explanation:

Processing data closer to users or devices can reduce the time required to send data to a distant cloud and receive a response.

3. Which environment typically sits between end devices and centralized cloud infrastructure?

  1. Edge computing layer
  2. DNS layer
  3. Application presentation layer only
  4. Database schema layer

Answer: A) Edge computing layer

Explanation:

Edge infrastructure provides an intermediate computing layer between data-generating devices and centralized cloud resources.

4. Which application is particularly suitable for Edge Computing?

  1. Real-time industrial control
  2. Offline text formatting only
  3. Long-term archival storage only
  4. Static document printing

Answer: A) Real-time industrial control

Explanation:

Industrial control can require rapid responses, making local or nearby edge processing useful for reducing communication latency.

5. What does MEC stand for?

  1. Mobile Edge Cache
  2. Multi-access Edge Computing
  3. Managed Ethernet Controller
  4. Multi-Endpoint Cloud

Answer: B) Multi-access Edge Computing

Explanation:

MEC stands for Multi-access Edge Computing. ETSI defines MEC as an environment that provides cloud-computing capabilities and IT services at the edge of the network.

6. Which organization develops the standardized MEC framework?

  1. ETSI
  2. ICANN
  3. W3C
  4. ISO only

Answer: A) ETSI

Explanation:

ETSI's Industry Specification Group for Multi-access Edge Computing develops MEC specifications and architecture.

7. Which component manages resources and coordinates MEC operations in the ETSI MEC architecture?

  1. MEC Orchestrator
  2. DNS Resolver
  3. Web Browser
  4. DHCP Server

Answer: A) MEC Orchestrator

Explanation:

The MEC Orchestrator is responsible for managing and coordinating resources and MEC operations across the MEC system.

8. What does a MEC Host typically contain?

  1. Only a DNS server
  2. MEC platform, MEC applications, and virtualization infrastructure
  3. Only a mobile device
  4. Only a database server

Answer: B) MEC platform, MEC applications, and virtualization infrastructure

Explanation:

A MEC Host provides the infrastructure and platform environment in which MEC applications run and consume MEC services.

9. What is the primary role of the MEC Platform?

  1. Provide platform functions required by MEC applications
  2. Replace every user device
  3. Act as a public DNS root
  4. Store only backup files

Answer: A) Provide platform functions required by MEC applications

Explanation:

The MEC Platform provides common functionality that allows MEC applications to run on the virtualization infrastructure and interact with available MEC services.

10. Which type of information can MEC applications obtain through standardized MEC capabilities?

  1. Relevant network and user information
  2. Only CPU temperature from remote data centers
  3. Only DNS root-zone records
  4. Only email contents

Answer: A) Relevant network and user information

Explanation:

ETSI MEC enables applications to access selected network and user-related information that can be useful for edge-aware services.

11. What is application offloading in Edge Computing?

  1. Moving selected computation from a device to an edge or cloud resource
  2. Deleting an application from the device
  3. Disabling network connectivity
  4. Moving all data permanently to offline storage

Answer: A) Moving selected computation from a device to an edge or cloud resource

Explanation:

Application offloading allows a resource-constrained device to transfer computational workloads to an edge or cloud system.

12. Why can application offloading be useful for IoT devices?

  1. IoT devices always have unlimited CPU and battery resources
  2. It can reduce local computational and energy requirements
  3. It removes the need for sensors
  4. It prevents communication between devices

Answer: B) It can reduce local computational and energy requirements

Explanation:

Many IoT devices have limited processing power, memory, and battery capacity. Offloading can move computationally demanding workloads to nearby infrastructure.

13. Which technology is commonly used to package edge applications with their dependencies?

  1. Containers
  2. DNS records
  3. MAC addresses
  4. HTML tables

Answer: A) Containers

Explanation:

Containers package applications and their dependencies into portable execution units, making them useful for deploying workloads across distributed edge environments.

14. Which technology provides hardware-level virtual machines for edge workloads?

  1. Hypervisor-based virtualization
  2. DNS caching
  3. HTTP compression
  4. ARP inspection

Answer: A) Hypervisor-based virtualization

Explanation:

Hypervisors create and manage virtual machines, allowing multiple isolated operating environments to run on shared physical hardware.

15. What is a major advantage of containers compared with traditional virtual machines?

  1. Containers generally have less overhead because they share the host kernel
  2. Containers require a separate physical server for every application
  3. Containers cannot be replicated
  4. Containers cannot run application dependencies

Answer: A) Containers generally have less overhead because they share the host kernel

Explanation:

Containers use operating-system-level virtualization and typically share the host kernel, which can make them lightweight compared with full virtual machines.

16. Which platform is commonly used to orchestrate containerized workloads across distributed infrastructure?

  1. Kubernetes
  2. FTP
  3. SMTP
  4. DNS

Answer: A) Kubernetes

Explanation:

Kubernetes provides mechanisms for deploying, scheduling, scaling, and managing containerized applications and can be extended for edge environments.

17. What is workload placement in an edge-cloud environment?

  1. Determining where a workload should execute
  2. Assigning a MAC address to a device
  3. Compressing application source code
  4. Deleting inactive users

Answer: A) Determining where a workload should execute

Explanation:

Workload placement decides whether an application component should run on a device, edge node, regional cloud, or centralized cloud based on requirements and available resources.

18. Which factor is especially important when placing a latency-sensitive workload at the edge?

  1. Network latency between the workload and its data source
  2. Number of web browser bookmarks
  3. File name length
  4. Monitor resolution

Answer: A) Network latency between the workload and its data source

Explanation:

Latency-sensitive applications benefit when processing is placed close enough to the data source or users to meet response-time requirements.

19. Which use case is strongly associated with MEC?

  1. Video analytics
  2. Offline spreadsheet formatting
  3. BIOS configuration only
  4. Local printer installation

Answer: A) Video analytics

Explanation:

Video analytics can benefit from edge processing because large video streams can be analyzed locally instead of continuously sending all raw video to a distant cloud.

20. Which application can benefit from edge processing of camera streams?

  1. Real-time object detection
  2. Static text editing only
  3. Offline file renaming
  4. BIOS flashing only

Answer: A) Real-time object detection

Explanation:

Edge AI can process camera streams near their source, reducing the need to transmit complete raw video streams to centralized servers.

21. What is edge AI?

  1. Running AI inference or related processing near the data source
  2. Running every AI workload exclusively in a central cloud
  3. Using AI only for DNS management
  4. Replacing machine learning with static routing

Answer: A) Running AI inference or related processing near the data source

Explanation:

Edge AI places machine-learning inference or other AI processing on devices or nearby edge infrastructure to support faster responses and local processing.

22. Which workload is a good candidate for edge AI?

  1. Real-time anomaly detection from industrial sensors
  2. Long-term archival backup only
  3. Static website hosting with no computation
  4. Offline document printing

Answer: A) Real-time anomaly detection from industrial sensors

Explanation:

Industrial sensor data can be analyzed locally at the edge to identify anomalies quickly and potentially trigger immediate actions.

23. What is edge caching primarily intended to accomplish?

  1. Store frequently accessed content closer to users
  2. Encrypt every network packet
  3. Replace application servers completely
  4. Disable content delivery

Answer: A) Store frequently accessed content closer to users

Explanation:

Edge caching stores commonly requested content at locations closer to users, which can reduce retrieval latency and traffic toward centralized systems.

24. Which network characteristic does edge caching primarily help improve?

  1. Content access latency
  2. CPU instruction-set compatibility
  3. Database normalization
  4. Keyboard input speed

Answer: A) Content access latency

Explanation:

When content is available at a nearby edge location, users can retrieve it without requiring every request to travel to a distant origin server.

25. How does Edge Computing help reduce unnecessary backbone traffic?

  1. By processing or filtering data locally before sending it upstream
  2. By increasing every packet's size
  3. By sending every raw sensor record to the cloud
  4. By disabling local computation

Answer: A) By processing or filtering data locally before sending it upstream

Explanation:

Edge nodes can aggregate, filter, compress, or analyze data before forwarding only the required information to centralized infrastructure.

26. Which scenario best demonstrates local edge analytics?

  1. An industrial edge server detects machine vibration anomalies and sends alerts to the cloud
  2. A sensor sends every raw sample to a distant cloud without processing
  3. A user stores a document on a USB drive
  4. A printer renders a local PDF

Answer: A) An industrial edge server detects machine vibration anomalies and sends alerts to the cloud

Explanation:

The edge server performs analysis close to the data source and sends the relevant result rather than requiring all raw sensor data to be processed remotely.

27. What is fog computing generally associated with?

  1. Distributed computing between devices, edge locations, and cloud systems
  2. Only centralized cloud storage
  3. Only web browser rendering
  4. Only wireless encryption

Answer: A) Distributed computing between devices, edge locations, and cloud systems

Explanation:

Fog computing is commonly described as a distributed architecture that extends computing, networking, and storage capabilities toward the network edge.

28. What is a cloudlet?

  1. A nearby resource-rich computing node that can provide cloud-like services
  2. A lightweight DNS protocol
  3. A wireless encryption algorithm
  4. A type of optical cable

Answer: A) A nearby resource-rich computing node that can provide cloud-like services

Explanation:

A cloudlet is a nearby computing resource positioned closer to end devices than a traditional centralized cloud, enabling workload offloading and low-latency services.

29. What is one key difference between centralized cloud computing and Edge Computing?

  1. Edge Computing distributes processing closer to data sources
  2. Cloud computing cannot use virtualization
  3. Edge Computing cannot process data
  4. Cloud computing never uses networks

Answer: A) Edge Computing distributes processing closer to data sources

Explanation:

Centralized cloud architectures generally concentrate computing resources in large data centers, while Edge Computing distributes selected resources closer to users and devices.

30. Which architecture is best suited for workloads that require both low latency and large-scale centralized analytics?

  1. Hybrid edge-cloud architecture
  2. Only a local device
  3. Only a centralized database with no edge layer
  4. Offline computing architecture

Answer: A) Hybrid edge-cloud architecture

Explanation:

A hybrid edge-cloud architecture can perform latency-sensitive processing at the edge while using centralized cloud resources for large-scale analytics, storage, and model training.

31. Why is data locality important in Edge Computing?

  1. It can reduce data movement and improve response time
  2. It requires every dataset to be copied globally
  3. It prevents local processing
  4. It eliminates all network communication

Answer: A) It can reduce data movement and improve response time

Explanation:

Keeping processing near the data source can reduce the amount of data that must travel through the network and can improve application responsiveness.

32. Which security concern becomes important when many distributed edge nodes process sensitive data?

  1. Physical and logical security of distributed infrastructure
  2. Only monitor brightness
  3. Keyboard layout compatibility
  4. Printer paper size

Answer: A) Physical and logical security of distributed infrastructure

Explanation:

Edge infrastructure is distributed across many locations, increasing the importance of device security, access control, software integrity, physical protection, and network security.

33. Why can Edge Computing improve data privacy in some applications?

  1. Sensitive data can sometimes be processed locally without sending all raw data to a central cloud
  2. Edge systems automatically encrypt all data
  3. Edge systems eliminate authentication
  4. All edge data is automatically public

Answer: A) Sensitive data can sometimes be processed locally without sending all raw data to a central cloud

Explanation:

Local processing can reduce the amount of sensitive raw data transmitted to centralized systems, although edge computing itself does not automatically guarantee privacy.

34. Which mechanism helps ensure that only authorized applications or devices access an edge service?

  1. Authentication and authorization
  2. Packet fragmentation
  3. Data compression
  4. DNS caching

Answer: A) Authentication and authorization

Explanation:

Authentication verifies identity, while authorization determines which resources or services that identity is permitted to access.

35. What is a major challenge of distributed edge infrastructure?

  1. Managing many geographically distributed resources
  2. Having only one physical server
  3. Eliminating network management
  4. Removing application dependencies

Answer: A) Managing many geographically distributed resources

Explanation:

Edge deployments may contain numerous nodes distributed across locations, making provisioning, monitoring, updates, security, and orchestration more complex.

36. What is edge orchestration responsible for?

  1. Coordinating application and infrastructure resources across edge locations
  2. Generating HTML pages only
  3. Assigning keyboard layouts
  4. Replacing all network protocols

Answer: A) Coordinating application and infrastructure resources across edge locations

Explanation:

Edge orchestration manages distributed workloads, resources, deployments, scaling, and service placement across multiple edge environments.

37. Why is workload migration useful in a mobile edge environment?

  1. It can move an application workload closer to a moving user or device
  2. It permanently disables the application
  3. It removes network connectivity
  4. It converts a container into a physical server

Answer: A) It can move an application workload closer to a moving user or device

Explanation:

When users or devices move between coverage areas, migrating workloads between suitable edge locations can help maintain desired latency and service quality.

38. Which application is a strong candidate for mobile-aware edge workload placement?

  1. An augmented reality application used by a moving user
  2. A static file stored on a local disk
  3. An offline calculator
  4. A local text editor

Answer: A) An augmented reality application used by a moving user

Explanation:

Interactive AR applications can be latency-sensitive, and their workloads may need to remain close to a mobile user as the user changes location.

39. Which technology allows an edge application to discover services available in its local environment?

  1. Service discovery
  2. Packet padding
  3. File compression
  4. Screen rendering

Answer: A) Service discovery

Explanation:

Service discovery allows applications to identify available services and their endpoints, which is important in dynamic distributed edge environments.

40. What is the purpose of exposing radio network information to MEC applications?

  1. Allow applications to make more context-aware decisions
  2. Replace all application logic with radio firmware
  3. Disable network monitoring
  4. Remove user mobility information

Answer: A) Allow applications to make more context-aware decisions

Explanation:

MEC can expose relevant network information so applications can adapt to conditions such as connectivity, location, or network state.

41. Which MEC use case involves communication between vehicles and infrastructure?

  1. V2X
  2. FTP
  3. SMTP
  4. DNSSEC

Answer: A) V2X

Explanation:

V2X refers to vehicle-to-everything communication and can include communication between vehicles, infrastructure, pedestrians, and networks. MEC can support low-latency V2X services.

42. Why is Edge Computing useful for autonomous vehicles?

  1. It can provide nearby processing for latency-sensitive perception and coordination tasks
  2. It eliminates vehicle sensors
  3. It requires all decisions to be made in a distant cloud
  4. It prevents vehicle-to-vehicle communication

Answer: A) It can provide nearby processing for latency-sensitive perception and coordination tasks

Explanation:

Nearby edge processing can support applications requiring rapid analysis and communication while reducing dependence on distant centralized processing.

43. Which characteristic makes Edge Computing particularly suitable for industrial IoT?

  1. Low latency and local processing
  2. Dependence on long-distance communication for every decision
  3. Requirement for offline-only operation
  4. Elimination of sensor data

Answer: A) Low latency and local processing

Explanation:

Industrial IoT systems often require timely processing of sensor data and rapid responses to events, making nearby edge resources valuable.

44. Which architecture is most appropriate for an edge application that must continue operating when cloud connectivity is temporarily unavailable?

  1. Local edge processing with cloud synchronization when connectivity returns
  2. Cloud-only processing with no local fallback
  3. DNS-only processing
  4. Offline application deletion

Answer: A) Local edge processing with cloud synchronization when connectivity returns

Explanation:

Local processing can allow an application to continue performing critical functions during temporary cloud connectivity problems, with synchronization performed when connectivity is restored.

45. Which metric is commonly considered when evaluating an edge application?

  1. End-to-end latency
  2. Keyboard size
  3. Monitor brightness
  4. File extension length

Answer: A) End-to-end latency

Explanation:

End-to-end latency measures the time involved in delivering data, processing it, and producing a response, making it important for interactive edge applications.

46. Which deployment model places computing resources directly within an enterprise or industrial site?

  1. On-premises edge
  2. Centralized public cloud only
  3. Remote archive storage
  4. Internet backbone routing

Answer: A) On-premises edge

Explanation:

On-premises edge deployments place computing resources at or very close to the organization or facility generating the data.

47. Which statement about MEC is correct?

  1. MEC is limited exclusively to 5G cellular networks
  2. MEC can also be deployed with fixed and WLAN access technologies
  3. MEC eliminates cloud computing
  4. MEC requires all applications to run on user devices

Answer: B) MEC can also be deployed with fixed and WLAN access technologies

Explanation:

ETSI explicitly notes that MEC is not limited to mobile networks and can also support fixed and WLAN access environments.

48. An industrial camera generates 500 MB of video data every second. An edge server performs object detection locally and sends only detected events and metadata to the cloud. What is the primary architectural benefit?

  1. Reduced upstream data traffic and faster local analysis
  2. Increased raw-video traffic to the cloud
  3. Elimination of all local processing
  4. Requirement to store every frame permanently on the device

Answer: A) Reduced upstream data traffic and faster local analysis

Explanation:

The edge server processes the video near its source and forwards selected results rather than continuously transmitting the complete raw video stream to the cloud.

49. A mobile AR application is connected to Edge Node A. The user moves toward another region where Edge Node B provides substantially lower latency. Which mechanism can help maintain application performance?

  1. Workload migration or relocation toward Edge Node B
  2. Disabling mobility management
  3. Moving all processing permanently to a distant cloud
  4. Deleting the AR session

Answer: A) Workload migration or relocation toward Edge Node B

Explanation:

In a mobile edge environment, relocating an application workload to a more suitable edge location can help maintain low latency as the user moves.

50. An autonomous factory needs real-time machine monitoring, local AI inference, low-latency control, centralized historical analytics, and continued operation during temporary cloud outages. Which architecture is most appropriate?

  1. A hybrid edge-cloud architecture with local edge processing and cloud coordination
  2. A cloud-only architecture with no local processing
  3. A centralized database with no network connectivity
  4. A traditional file-server architecture

Answer: A) A hybrid edge-cloud architecture with local edge processing and cloud coordination

Explanation:

A hybrid edge-cloud architecture can place real-time monitoring, AI inference, and control functions near the machines while using centralized cloud infrastructure for historical analytics, large-scale storage, model training, and coordination. Local edge capabilities can also provide operational continuity when cloud connectivity is temporarily unavailable.

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