Edge Computing MCQs

By: Prof. Dr. Fazal Rehman Shamil | Last updated: September 20, 2024

What is the primary goal of edge computing?
A) To centralize data processing in large data centers
B) To process data closer to the source of data generation
C) To increase latency in data transmission
D) To eliminate the need for cloud computing
Answer: B) To process data closer to the source of data generation

Which of the following best describes the edge in edge computing?
A) Centralized processing locations
B) Remote data storage facilities
C) Local devices that process data
D) Traditional server farms
Answer: C) Local devices that process data

What advantage does edge computing provide in IoT applications?
A) Increased data transmission times
B) Reduced bandwidth usage and latency
C) Dependence on centralized data centers
D) Limited processing capabilities
Answer: B) Reduced bandwidth usage and latency

Which of the following is a common use case for edge computing?
A) Content delivery networks
B) Real-time data analytics in smart cities
C) Local storage of documents
D) Traditional client-server applications
Answer: B) Real-time data analytics in smart cities

What type of data is primarily processed at the edge?
A) Data that requires long processing times
B) Data that needs immediate action or response
C) Historical data for long-term storage
D) Data only available in the cloud
Answer: B) Data that needs immediate action or response

Which technology is often used to facilitate edge computing?
A) Virtual Reality (VR)
B) Internet of Things (IoT)
C) Traditional computing systems
D) Centralized databases
Answer: B) Internet of Things (IoT)

What is a potential challenge of implementing edge computing?
A) Reduced processing speed
B) Data privacy and security concerns
C) Increased data center costs
D) Limited device connectivity
Answer: B) Data privacy and security concerns

How does edge computing affect latency?
A) It increases latency due to distance
B) It has no impact on latency
C) It reduces latency by processing data locally
D) It only benefits cloud computing latency
Answer: C) It reduces latency by processing data locally

Which of the following is an example of an edge device?
A) Mainframe computer
B) Smartphone
C) Data center server
D) Cloud storage system
Answer: B) Smartphone

What is the role of edge gateways in edge computing?
A) To centralize all data processing
B) To connect edge devices to the cloud
C) To replace local processing
D) To limit data transfer capabilities
Answer: B) To connect edge devices to the cloud

Which industry can benefit significantly from edge computing?
A) Agriculture
B) Textile manufacturing
C) Centralized banking
D) Local bookstores
Answer: A) Agriculture

What is a primary benefit of using edge computing for video surveillance?
A) Increased data storage costs
B) Real-time analytics and reduced bandwidth usage
C) Dependence on cloud processing
D) Longer response times for alerts
Answer: B) Real-time analytics and reduced bandwidth usage

Which of the following best describes a fog computing model?
A) Centralized data processing
B) Hierarchical architecture with distributed computing resources
C) Solely edge-based processing
D) Reduced device connectivity
Answer: B) Hierarchical architecture with distributed computing resources

What is a key characteristic of edge computing?
A) High reliance on centralized data centers
B) Proximity of data processing to data sources
C) Focus solely on cloud resources
D) Limitation to large enterprises
Answer: B) Proximity of data processing to data sources

Which of the following describes a potential application of edge computing in healthcare?
A) Storing all patient data in central servers
B) Remote monitoring of patient vitals in real-time
C) Reducing the need for medical devices
D) Limiting patient data access
Answer: B) Remote monitoring of patient vitals in real-time

What is the impact of edge computing on bandwidth requirements?
A) It increases bandwidth usage
B) It has no effect on bandwidth
C) It decreases bandwidth requirements by processing data locally
D) It only benefits cloud bandwidth
Answer: C) It decreases bandwidth requirements by processing data locally

Which of the following is NOT a benefit of edge computing?
A) Enhanced privacy and security
B) Reduced latency
C) Centralized data management
D) Improved data processing efficiency
Answer: C) Centralized data management

What is a common challenge when managing edge devices?
A) High processing power
B) Limited device management capabilities
C) Centralized monitoring systems
D) Inconsistent network availability
Answer: D) Inconsistent network availability

How can edge computing enhance smart manufacturing?
A) By increasing reliance on cloud computing
B) By enabling real-time monitoring and control of equipment
C) By reducing the need for automation
D) By limiting data access to on-premises systems
Answer: B) By enabling real-time monitoring and control of equipment

Which of the following technologies can integrate with edge computing?
A) Artificial Intelligence (AI)
B) Traditional databases
C) Legacy systems
D) Offline processing methods
Answer: A) Artificial Intelligence (AI)

What is a primary concern for security in edge computing?
A) Decreased device connectivity
B) Data breaches due to distributed devices
C) Increased centralized control
D) Limited network requirements
Answer: B) Data breaches due to distributed devices

Which of the following describes a key function of edge analytics?
A) Delaying data analysis for cloud processing
B) Analyzing data at the source before sending it to the cloud
C) Focusing solely on historical data
D) Reducing data processing speed
Answer: B) Analyzing data at the source before sending it to the cloud

What is a primary driver for the adoption of edge computing?
A) Decreased data generation
B) The need for real-time data processing
C) Limiting device connectivity
D) Increased reliance on traditional data centers
Answer: B) The need for real-time data processing

Which type of architecture is often associated with edge computing?
A) Monolithic architecture
B) Distributed architecture
C) Centralized architecture
D) Static architecture
Answer: B) Distributed architecture

What role do data lakes play in edge computing?
A) Storing data exclusively in cloud environments
B) Allowing for real-time data analysis at the edge
C) Limiting access to big data technologies
D) Centralizing all data processing
Answer: B) Allowing for real-time data analysis at the edge

How does edge computing relate to cloud computing?
A) They are mutually exclusive technologies
B) Edge computing can complement cloud computing by processing data locally
C) Cloud computing eliminates the need for edge computing
D) Edge computing is a replacement for cloud computing
Answer: B) Edge computing can complement cloud computing by processing data locally

What is the effect of edge computing on mobile applications?
A) Increased data transfer times
B) Enhanced performance through local processing
C) Dependence on cloud services
D) Limited user experiences
Answer: B) Enhanced performance through local processing

Which of the following represents a key trend in edge computing?
A) Declining use of IoT devices
B) Growth in the number of edge applications and services
C) Reduced focus on data privacy
D) Increased reliance on traditional data centers
Answer: B) Growth in the number of edge applications and services

What type of data is typically processed at the edge in real-time applications?
A) Large historical datasets
B) Streaming data
C) Archived data
D) Static data
Answer: B) Streaming data

How can edge computing improve customer experiences in retail?
A) By processing all data in the cloud
B) By enabling personalized and immediate interactions
C) By increasing wait times for data retrieval
D) By limiting product availability
Answer: B) By enabling personalized and immediate interactions

Which of the following is a primary characteristic of edge computing devices?
A) High processing power requirements
B) Ability to operate in real-time
C) Exclusive reliance on cloud resources
D) Centralized management
Answer: B) Ability to operate in real-time

What role does machine learning play in edge computing?
A) It is irrelevant to edge applications
B) It enables local decision-making and data analysis
C) It requires constant cloud connectivity
D) It limits device capabilities
Answer: B) It enables local decision-making and data analysis

Read More Computer Architecture MCQs

1. SET 1: Computer Architecture MCQs
2. SET 2: Computer Architecture MCQs
3. SET 3: Computer Architecture MCQs
4. SET 4: Computer Architecture MCQs
5. SET 5: Computer Architecture MCQs
6. SET 6: Computer Architecture MCQs
7. SET 7: Computer Architecture MCQs
8. SET 8: Computer Architecture MCQs
9. SET 9: Computer Architecture MCQs

• Introduction to Computer Architecture MCQs
  • Evolution of Computer Architecture MCQs
  • von Neumann vs Harvard Architecture MCQs
• Basic Components of a Computer System MCQs
  • Central Processing Unit (CPU) MCQs
  • Memory (RAM, ROM, Cache) MCQs
  • Input/Output (I/O) Devices MCQs
  • Buses (Data, Address, Control) MCQs
• CPU Organization MCQs
  • ALU (Arithmetic Logic Unit) MCQs
  • Control Unit MCQs
  • Registers (General Purpose, Special Purpose) MCQs
  • Flags and Status Registers MCQs
• Instruction Set Architecture (ISA) MCQs
  • Types of Instructions (Data Movement, Arithmetic, Control) MCQs
  • Addressing Modes (Immediate, Direct, Indirect, Indexed) MCQs
  • Instruction Formats MCQs
  • RISC (Reduced Instruction Set Computer) vs CISC (Complex Instruction Set Computer) MCQs
• Microarchitecture MCQs
  • Pipelining (Stages and Hazards) MCQs
  • Superscalar Architecture MCQs
  • Multithreading MCQs
  • Out-of-Order Execution MCQs
• Memory Hierarchy MCQs
  • Cache Memory (L1, L2, L3) MCQs
  • Virtual Memory MCQs
  • Paging and Segmentation MCQs
  • TLB (Translation Lookaside Buffer) MCQs
• Cache Memory MCQs
  • Cache Mapping Techniques (Direct, Associative, Set-Associative) MCQs
  • Cache Coherency MCQs
  • Write Policies (Write-Through, Write-Back) MCQs
  • Cache Miss and Hit MCQs
• Input/Output Organization MCQs
  • I/O Techniques (Polling, Interrupts, DMA) MCQs
  • I/O Mapping (Memory-Mapped I/O, Isolated I/O) MCQs
  • Interrupt Handling MCQs
• Bus Architecture MCQs
  • System Bus (Data, Address, Control) MCQs
  • Bus Arbitration MCQs
  • Synchronous vs Asynchronous Buses MCQs
• Performance Metrics MCQs
  • Clock Speed and Cycles per Instruction (CPI) MCQs
  • MIPS (Million Instructions per Second) MCQs
  • FLOPS (Floating-Point Operations per Second) MCQs
  • Amdahl’s Law MCQs
• Parallelism in Computer Architecture MCQs
  • Instruction-Level Parallelism (ILP) MCQs
  • Data-Level Parallelism (DLP) MCQs
  • Thread-Level Parallelism (TLP) MCQs
  • Symmetric Multiprocessing (SMP) vs Asymmetric Multiprocessing (AMP) MCQs
• Multicore and Multiprocessor Systems MCQs
  • Multicore Architectures MCQs
  • Shared Memory vs Distributed Memory MCQs
  • Interconnection Networks MCQs
• Control Unit Design MCQs
  • Hardwired Control vs Microprogrammed Control MCQs
  • Control Signals and Timing MCQs
  • Instruction Cycle and Control Flow MCQs
• Pipeline Hazards MCQs
  • Structural, Data, and Control Hazards MCQs
  • Techniques to Overcome Hazards (Stalling, Forwarding, Branch Prediction) MCQs
• Branch Prediction and Speculation MCQs
  • Static and Dynamic Branch Prediction MCQs
  • Speculative Execution MCQs
  • Branch Target Buffers MCQs
• Arithmetic and Logic Operations MCQs
  • Integer and Floating-Point Arithmetic MCQs
  • ALU Design MCQs
  • Fixed-Point vs Floating-Point Representation MCQs
• Memory Management MCQs
  • Paging, Segmentation, and Virtual Memory MCQs
  • Memory Protection and Privilege Levels MCQs
  • Memory Allocation and Deallocation MCQs
• Power and Energy Efficiency MCQs
  • Power Dissipation in CPUs MCQs
  • Low-Power Design Techniques MCQs
  • Energy-Aware Computing MCQs
• Advanced Topics MCQs
  • GPU Architecture and Usage MCQs
  • Quantum Computing Basics MCQs
  • Neuromorphic Computing MCQs
• Emerging Trends
  • Cloud Computing Architectures MCQs
  • Edge Computing MCQs
  • AI Accelerators MCQs