NPTEL Introduction to Industry 4.0 and Industrial Internet of Things Week 8 Assignment Answers 2024 (July-October)

Week 8: Assignment 8 - Introduction to Industry 4.0 and Industrial Internet of Things

Description: This assignment covers key concepts related to unsupervised learning methods, machine learning, IoT (Industrial Internet of Things) analytics, and cloud computing. It includes multiple-choice questions to test understanding of these topics.

Questions and Answers:

1. Which of the following statements is TRUE about unsupervised methods?

• Answer: B. They find structure in the input data on their own.
  Reason: Unsupervised methods do not require labeled data; instead, they analyze input data to identify patterns or structures without supervision.

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2. Deployment of IIoT analytics typically consists of three steps - train (a predictive analytics model), test and validate the model on previously unseen data, and deploy the model to make predictions on real (streaming) data. State True or False.

• Answer: A. True
  Reason: This is a standard workflow for deploying IIoT analytics models, ensuring the model is effective before it is used on real-time data.

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3. ________ requires fine-tuning a trained model. This approach requires less amount of data. Therefore, the time required for processing and computation may be reduced from hours to minutes and from weeks to days. Fill in the blanks.

• Answer: A. Transfer Learning
  Reason: Transfer learning uses pre-trained models and fine-tunes them for specific tasks, which reduces data requirements and computation time.

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4. Which of the following is false about Reinforcement Learning?

• Answer: A. There is an external supervisor to guide the agent.
  Reason: In reinforcement learning, the agent learns from the environment through trial and error, not from an external supervisor.

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5. Which of the following machine learning techniques is used to identify similar groups of data, coined as clustering?

• Answer: B. Unsupervised
  Reason: Clustering is a type of unsupervised learning where the goal is to find groups (clusters) of similar data points.

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6. In ________, one data point may belong to more than one cluster. Fill in the blanks.

• Answer: B. Fuzzy c-Means
  Reason: Fuzzy c-Means is a clustering technique where data points can belong to multiple clusters with varying degrees of membership.

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7. "Machine learning is a subset of deep learning which can learn automatically by finding the features of the object on its own." State True or False.

• Answer: B. False
  Reason: Machine learning is a broader concept; deep learning is a subset of machine learning.

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8. When does deep learning typically provide better accuracy?

• Answer: B. When the amount of data is huge
  Reason: Deep learning models require large amounts of data to learn effectively and perform accurately.

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9. Which of the following can be achieved by deploying cloud in IIoT?

• Answer: D. All of the above
  Reason: Cloud deployment in IIoT offers high computational speed, scalability, secure services, and the ability to handle large amounts of data.

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10. Which of the following services can NOT be provided by utilizing cloud computing?

• Answer: C. Prod-as-a-Service
  Reason: The term 'Prod-as-a-Service' is not a recognized cloud computing model.

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11. Which of the following is rendered by a Consumer IoT cloud platform?

• Answer: C. Return on investment (ROI) sensitive
  Reason: Consumer IoT platforms typically focus on cost-efficiency and maximizing ROI.

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12. MindSphere is the cloud-based, open IoT operating system. Which of the following features are supported by MindSphere?

• Answer: D. All of the above
  Reason: MindSphere provides comprehensive support, including security, procurement, distribution, and performance exploitation.

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13. Which of the following is not a C3 IoT Platform tool?

• Answer: A. Ex Machina
  Reason: Ex Machina is not a tool associated with the C3 IoT Platform.

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14. "Cashify is an Industrial IoT platform that facilitates real-time monitoring and low-cost solutions." State true or false.

• Answer: B. False
  Reason: Cashify is not recognized as an Industrial IoT platform for such purposes.

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15. Which of the following statements is false about fog computing?

• Answer: B. A complete replacement of Cloud
  Reason: Fog computing complements cloud computing by providing local processing, not replacing it.