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SASInstitute SAS® Viya® Supervised Machine Learning Pipelines Sample Questions:

1. Which type of model is typically used for time-series forecasting?

A) K-Means Clustering
B) AutoRegressive Integrated Moving Average (ARIMA)
C) Logistic Regression
D) Decision Trees

2. What is a data lake?

A) A specialized database for time-series data
B) A centralized repository for storing all structured and unstructured data at any scale
C) A backup system for relational databases
D) A data storage solution designed for high-speed data retrieval

3. What is the purpose of cross-entropy loss in machine learning, especially in the context of classification?

A) To evaluate feature importance
B) To calculate the mean squared error of a regression model
C) To measure the dissimilarity between predicted and actual class probabilities
D) To quantify the variance of a model

4. Which evaluation metric is commonly used for assessing the performance of a regression model?

A) Precision
B) Mean Absolute Error (MAE)
C) Confusion Matrix
D) F1 Score

5. When building a deep learning neural network, what is the purpose of the activation function in each neuron?

A) To introduce non-linearity
B) To initialize the model
C) To define the learning rate
D) To control the number of hidden layers

Solutions: