Model Questions of IOT- BCA-III (2024)

 Model Questions of IOT- 2024

 

UNIT- I

1.     What is the Internet of Things (IoT) and how does it differ from traditional internet-connected devices?

2.     How has IoT transformed various industries and everyday life?

3.     Define IoT and enumerate its key characteristics.

4.     How does IoT leverage sensor data and connectivity to enhance functionality?

5.     Describe the typical architecture of an IoT system, including the roles of edge devices, gateways, cloud platforms, and applications.

6.     What are the challenges associated with IoT architecture scalability and interoperability?

7.     Explain the logical design considerations for developing an IoT solution, such as data collection, processing, and analysis.

8.     How can security and privacy be integrated into the logical design of IoT systems?

9.     Discuss common communication protocols used in IoT ecosystems, such as MQTT, CoAP, and HTTP.

10.  How do these protocols address the requirements of IoT applications, such as low power consumption and reliability?

11.  Enumerate different types of IoT devices and their respective applications in various domains, such as wearables, smart home devices, and industrial sensors.

12.  What are the key considerations in designing IoT devices for specific use cases?

13.  Define M2M communication and compare it with IoT in terms of scope, connectivity, and applications.

14.  Explain how SDN can enhance network management and efficiency in IoT deployments.

15.  Discuss the role of NFV in virtualizing network functions to support dynamic IoT environments.

16.  What are the benefits and challenges of adopting SDN and NFV in IoT infrastructures?

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UNIT- II

17.  Why is effective system management crucial in IoT deployments?

18.  What are the main challenges associated with managing large-scale IoT systems?

19.  What is SNMP, and how is it used for managing networked devices in IoT environments?

20.  Explain the key components of SNMP, including managers, agents, and MIBs (Management Information Bases).

21.  Discuss the essential requirements for managing IoT systems, considering aspects such as scalability, security, and interoperability.

22.  How do these requirements differ from traditional network management approaches?

23.  Describe a methodology for designing IoT platforms, considering factors like data acquisition, processing, storage, and application interfaces.

24.  What are the key considerations in selecting hardware and software components for an IoT platform?

25.  Explain the logical design process for an IoT system, including data flow modeling, component identification, and communication protocols.

26.  How do you ensure flexibility and adaptability in the logical design of IoT systems to accommodate evolving requirements?

27.  Discuss the importance of security mechanisms in IoT system management and identify common security threats faced by IoT deployments.

28.  How can encryption, authentication, and access control be integrated into IoT management frameworks?

29.  How can IoT management systems be integrated with existing IT infrastructure and enterprise management platforms?

30.  What are the challenges and best practices for ensuring seamless integration and interoperability?

31.  Explain the role of monitoring and analytics tools in IoT system management.

32.  How can real-time data analysis and predictive maintenance improve the efficiency and reliability of IoT deployments?

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UNIT -III

33.  What are the essential components or building blocks required for creating IoT devices?

34.  Discuss the role of sensors, actuators, microcontrollers, and communication modules in IoT device architecture.

35.  What is Raspberry Pi, and how is it used as an IoT device?

36.  Describe the hardware specifications and capabilities of Raspberry Pi for IoT applications.

37.  Provide examples of IoT projects or applications implemented using Raspberry Pi.

38.  Explain the importance of interfaces in IoT devices and their role in enabling communication and interaction with other devices or systems.

39.  Discuss common interfaces used in IoT devices, such as GPIO (General Purpose Input/Output), UART, SPI, and I2C.

40.  Identify and describe other popular IoT devices apart from Raspberry Pi.

41.  Discuss the unique features and applications of each device in the IoT ecosystem.

42.  What is WAMP, and how does it facilitate communication between IoT devices and web applications?

43.  Explain the key components of the WAMP protocol stack and their functionalities.

44.  What is Django, and how is it used in IoT development?

45.  Discuss the features of the Django framework that make it suitable for building IoT applications, such as its scalability and built-in security features.

46.  What is Skynet, and what role does it play in the IoT landscape?

47.  Explain how Skynet enables device-to-device communication and integration with cloud services.

48.  Discuss the advantages and limitations of using Skynet for IoT deployments.

49.  How can IoT devices be integrated with WAMP and Django to create scalable and interactive IoT applications?

50.  Discuss the development process and best practices for leveraging WAMP and Django in IoT projects.

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UNIT- IV

51.  What is Apache Hadoop, and what problem does it solve in the context of big data?

52.  Describe the core components of Hadoop, such as Hadoop Distributed File System (HDFS) and MapReduce.

53.  Explain the MapReduce programming model and its key phases.

54.  How does MapReduce enable parallel processing of large datasets across distributed computing clusters?

55.  What is Hadoop YARN, and what role does it play in the Hadoop ecosystem?

56.  Discuss the advantages of YARN over the traditional MapReduce framework for resource management and job scheduling.

57.  What is Apache Oozie, and how does it facilitate workflow management in Hadoop?

58.  Describe the key features and components of Oozie for defining, scheduling, and coordinating Hadoop jobs.

59.  What is Apache Spark, and how does it differ from Hadoop MapReduce?

60.  Discuss the advantages of Spark in terms of in-memory processing, iterative algorithms, and real-time analytics.

61.  What is Apache Storm, and how does it address real-time stream processing requirements?

62.  Explain the architecture of Apache Storm and its integration with other big data technologies.

63.  Compare and contrast Hadoop MapReduce, Apache Spark, and Apache Storm in terms of performance, scalability, and use cases.

64.  Discuss scenarios where each of these technologies would be the most suitable choice.

65.  Provide examples of real-world use cases where Apache Hadoop, MapReduce, YARN, Oozie, Spark, and Storm have been successfully deployed.

66.  How do these technologies empower organizations to derive insights from large volumes of data efficiently?

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UNIT- V

67.  Compare and contrast Chef and Puppet as configuration management tools. What are their primary functionalities, and how do they facilitate automation in IoT deployments?

68.  Explain the concept of infrastructure as code (IaC) and how Chef and Puppet contribute to it in the context of IoT systems.

69.  Discuss the advantages and limitations of using Chef and Puppet for managing IoT infrastructure and applications.

70.  What is NETCONF-YANG, and how does it support network configuration and management in IoT environments?

71.  Describe the key components of NETCONF-YANG and their roles in defining data models and configuring network devices.

72.  How does NETCONF-YANG address the challenges associated with managing heterogeneous IoT devices and protocols?

73.  Explain the concept of an IoT code generator and its role in accelerating the development of IoT applications.

74.  Discuss the features and capabilities that developers can expect from an IoT code generator.

75.  How does an IoT code generator streamline the process of integrating sensors, actuators, and communication protocols in IoT projects?

76.  How can tools like Chef, Puppet, NETCONF-YANG, and IoT code generators be integrated to streamline the development and management of IoT solutions?

77.  Provide examples of workflows or scenarios where these tools complement each other in IoT projects.

78.  What are the best practices for selecting and integrating tools in IoT development pipelines to ensure efficiency and scalability?

79.  Discuss the importance of security in IoT development and management tools such as Chef, Puppet, NETCONF-YANG, and IoT code generators.

80.  How do these tools address security requirements such as authentication, access control, and data encryption in IoT deployments?

81.  What additional measures can developers take to enhance the security of IoT solutions when using these tools?

82.  Evaluate the scalability and performance characteristics of Chef, Puppet, NETCONF-YANG, and IoT code generators in the context of large-scale IoT deployments.

83.  Discuss strategies for optimizing the performance and scalability of these tools to meet the requirements of IoT applications with high data volumes and real-time processing needs.

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