Business Intelligence and Analytics Nptel Week 11 Answers

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Nptel Business Intelligence and Analytics Week 11 Answers
Nptel Business Intelligence and Analytics Week 11 Answers

Nptel Business Intelligence and Analytics Week 11 Answers (Jan-Apr 2025)

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1. Which type of layer is NOT a standard component of a Convolutional Neural Network (CNN)?

a) Convolutional layer
b) Recurrent layer
c) Pooling layer
d) Fully Connected (FC) layer

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2. Which of the following is a potential source of bias in AI models?

a) Training data bias
b) Algorithmic bias
c) Cognitive bias
d) All of the above

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3. In a perceptron, after calculating the weighted sum of inputs, the _________ function is applied to determine the final neuron output.

a) Loss
b) Transfer
c) Input
d) Combination

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4. Which characteristic differentiates a feedforward neural network (FNN) from RNNs and CNNs?

a) FNN has feedback connections for learning sequences
b) FNN processes data using convolutional filters.
c) FNN has no cycles, and information flows in only one direction.
d) FNN updates weights dynamically based on past outputs.

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Nptel Business Intelligence and Analytics Week 11 Answers


5. A researcher is studying the impact of salary changes on employee productivity over 5 years, collecting data from the same employees annually. What type of data is being used?

a) Cross-sectional data
b) Time-series data
c) Panel data
d) Experimental data

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6. ________ helps explain the decision-making process of AI models, making them more transparent and trustworthy for human users.

a) Deep Learning
b) Explainable AI (XAI)
c) Artificial General Intelligence (AGI)
d) Neural Networks

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7. What does the trend component in time series analysis represent?

a) Short-term fluctuations in the data
b) Repeating patterns that occur within a fixed period
c) Long-term movement or general direction of the data
d) Random variations with no specific pattern

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8. A neural network has 14 input neurons and 6 output neurons. The recommended number of hidden neurons using the thumb rule is ________.

a) 5
b) 10
c) 14
d) 20

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9. In blockchain, transactions are validated after they are linked into blocks.

a) True
b) False

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10. In responsible AI, the principle of __________ ensures that machine learning models do not create biased outcomes against protected groups based on race, gender, or socioeconomic status.

a) Privacy
b) Transparency
c) Fairness
d) Explainability

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Nptel Business Intelligence and Analytics Week 11 Answers


11. Which neural network layer is responsible for capturing complex patterns and nonlinear relationships in data?

a) Input layer
b) Output layer
c) Hidden layer
d) Loss layer

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12. An ________ function is used in neural networks to introduce non-linearity, allowing the model to learn complex patterns from data.

a) Loss
b) Activation
c) Combination
d) Optimization

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13. Which of the following machine learning models provides the highest level of interpretability and is easiest for humans to understand?

a) Random Forest
b) Neural Networks
c) Decision Tree
d) Support Vector Machine (SVM)

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14. Which mechanism guarantees that once a transaction is recorded on a blockchain, it cannot be altered?

a) Centralized control
b) Smart contracts
c) Encryption
d) Cryptographic hashing

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15. Recurrent Neural Networks (RNNs) use _________ to compute gradients and update weights over sequential data.

a) Gradient Clipping
b) Backpropagation Through Time (BPTT)
c) Adam Optimizer
d) Dropout Regularization

View Answer


Nptel Business Intelligence and Analytics Week 11 Answers

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