Introduction To Industry 4.0 And Industrial Internet Of Things Week 8 NPTEL Assignment Answers 2025

NPTEL Introduction To Industry 4.0 And Industrial Internet Of Things Week 8 Assignment Answers 2024

1. Which of the following does not characterize big data analytics?
a. Volume
b. Velocity
c. Vector
d. Variability

✅ Answer :- c
Explanation: Big Data is characterized by the 3Vs (Volume, Velocity, Variety) and often Variability—Vector is unrelated.

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2. Which algorithm is useful when training data for each class is available?
a. Unsupervised learning algorithm
b. Supervised learning algorithm
c. Reinforcement learning algorithm
d. None of the above

✅ Answer :- b
Explanation: Supervised learning requires labeled data (i.e., training data for each class/state).

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3. Which of the following is false about deep learning models?
a. Learns features automatically
b. Does not use neural networks
c. Raw data can be directly fed
d. Requires large computational power

✅ Answer :- b
Explanation: Deep learning is based on neural networks—so the statement is false.

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4. Which software may be used for batch-oriented analytics?
a. Apache Hadoop and Apache Spark
b. Eclipse
c. Sublime
d. None of the above

✅ Answer :- a
Explanation: Hadoop and Spark are widely used for batch processing and analytics in Big Data.

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5. Which of the following is a classification algorithm?
a. DBSCAN
b. Support Vector Machine
c. K-Means
d. Bayes Regression

✅ Answer :- b
Explanation: SVM is a supervised algorithm used for classification tasks.

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6. In __________ data points may belong to more than one cluster.
a. Hard Clustering
b. Soft Clustering
c. Hard Classification
d. Soft Classification

✅ Answer :- b
Explanation: Soft Clustering allows a point to be part of multiple clusters with probabilities.

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7. Which supervised algorithm is used for real number output?
a. Regression
b. Classification
c. Both
d. Neither

✅ Answer :- a
Explanation: Regression is used when the target output is continuous (real number).

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8. Which is false about reinforcement learning?
a. No external supervisor
b. Builds knowledge from feedback
c. There is no reward function
d. Mapping between input-output exists

✅ Answer :- c
Explanation: Reinforcement learning relies on a reward function to guide the agent’s learning.

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9. “Machine learning is a subset of deep learning…” — True or False?
a. True
b. False

✅ Answer :- b
Explanation: Deep learning is a subset of machine learning, not the other way around.

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10. Why is cloud computing necessary for IIoT?
a. High-speed data analytics
b. Scalable, secure services
c. Efficient data acquisition
d. All of the above

✅ Answer :- d
Explanation: Cloud computing provides speed, scalability, and efficiency, which IIoT needs.

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11. What is not true about PaaS for IIoT?
a. Self-develop apps
b. Control over app/env
c. Service provider manages everything
d. Offered by Cumulocity, etc.

✅ Answer :- c
Explanation: In PaaS, developers manage the app, not the whole system—so c is incorrect.

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12. Who does not provide Industrial Cloud Platforms?
a. C3 IoT
b. Uptake
c. Netbeans
d. GE Predix

✅ Answer :- c
Explanation: Netbeans is an IDE, not an industrial cloud platform.

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13. Advantage of using Cloud simulator before deployment?
a. Pre-deployment test
b. Cost-free system testing
c. Repeatable evaluation
d. All of the above

✅ Answer :- d
Explanation: Simulators help test the system without real deployment costs.

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14. What does not represent Industry 4.0 objective?
a. Rigid solutions
b. Expanded security
c. Better performance
d. Higher production

✅ Answer :- a
Explanation: Industry 4.0 aims for flexibility, not rigidity.

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15. “K-medoid maximizes distance between random points” — True or False?
a. True
b. False

✅ Answer :- b
Explanation: K-medoid minimizes the distance to the most centrally located point, not maximize it.