Introduction To Internet Of Things Week 9 NPTEL Assignment Answers 2025

NPTEL Introduction To Internet Of Things Week 9 Assignment Answers 2024

1. Which of the following is not a component of OpenStack?
a. Suse
b. Nova
c. Swift
d. All of these
Answer: a
Explanation: SUSE is a Linux distribution, not a component of OpenStack. Nova (compute) and Swift (object storage) are key components of OpenStack.

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2. Where is the sensed data sent for further processing in WSNs?
a. Client node
b. Central node
c. Collect node
d. Sink node
Answer: d
Explanation: In Wireless Sensor Networks (WSNs), data is sent to the sink node, which collects data from sensor nodes for processing.

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3. Select the statement(s) that denote the advantages of cloud computing.
Statement I: Elasticity
Statement II: Pay-per-use
Statement III: Self Service
a. Statement I
b. Statement II
c. Statements I, II, and III
d. None of these
Answer: c
Explanation: All three—elasticity, pay-per-use, and self-service—are core advantages of cloud computing.

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4. Which of the following is a limitation of WSN?
a. Price
b. Post deployment maintenance
c. Battery lifetime
d. All of these
Answer: d
Explanation: WSNs face challenges including cost, maintenance complexity, and limited battery life.

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5. The managerial role is played by _________ in sensor-cloud architecture.
a. End-users
b. Sensor-Cloud Service Provider
c. None of these
d. All of these
Answer: b
Explanation: The Sensor-Cloud Service Provider handles management tasks like data processing, storage, and service provisioning.

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6. The optimal composition of _____________ is a management issue in sensor-cloud.
a. Logistics
b. Pricing
c. Caching
d. Virtual sensor nodes
Answer: d
Explanation: Managing virtual sensor nodes optimally is a key concern for efficient sensor-cloud architecture.

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7. Who coined the term Fog computing?
a. IBM
b. CISCO
c. All of these
d. None of these
Answer: b
Explanation: Cisco coined the term Fog computing to describe decentralized computing at the edge of the network.

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8. What are the issues related to the current cloud model?
a. Volume
b. Latency
c. All of these
d. None of these
Answer: c
Explanation: Issues like data volume and latency affect the performance and efficiency of cloud models.

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9. Sensor data is processed in the cloud before it is sent to the fog.
a. True
b. False
Answer: b
Explanation: In fog computing, data is processed closer to the source (at the fog), not first in the cloud.

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10. What is the type of received data according to which Fog nodes work?
a. Non-time sensitive data
b. Very time-sensitive data
c. Less time-sensitive data
d. All of these
Answer: d
Explanation: Fog nodes can handle all types of data, including time-sensitive and non-time-sensitive information.

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11. Which of the following are the advantages of Fog?
a. Quick decision making
b. Nodes can be mobile
c. Reduces the risk of latency
d. All of these
Answer: d
Explanation: Fog computing provides mobility, reduces latency, and allows faster local decisions.

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12. Which of the following requires the analysis at the nearest node?
a. Non-time sensitive data
b. Most time-sensitive data
c. Less time-sensitive data
d. None of these
Answer: b
Explanation: Most time-sensitive data needs rapid processing, which is best done at the nearest node.

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13. Fog nodes cannot connect and leave the network when necessary.
a. True
b. False
Answer: b
Explanation: Fog nodes are flexible and can dynamically join or leave the network based on conditions.

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14. Which of the following is used by the fog applications to increase the speed of service accessibility?
a. Low power
b. Good network connection
c. Accelerators
d. Analytics
Answer: c
Explanation: Accelerators, such as hardware accelerators (e.g., GPUs), improve service speed in fog applications.

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15. Fill in the blank. The concept of _________________ enables physical hardware to be shared among multiple entities.
a. Hardware virtualization
b. Software virtualization
c. Module virtualization
d. All of these
Answer: a
Explanation: Hardware virtualization allows multiple operating systems to run on a single physical machine, sharing resources.