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SASInstitute SAS® Viya® Supervised Machine Learning Pipelines Sample Questions:
1. 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 data storage solution designed for high-speed data retrieval
D) A backup system for relational databases
2. When building a deep learning neural network, what is the purpose of the activation function in each neuron?
A) To initialize the model
B) To introduce non-linearity
C) To control the number of hidden layers
D) To define the learning rate
3. What does the term "bagging" refer to in ensemble learning?
A) A technique that reduces model complexity
B) A form of dimensionality reduction
C) The process of combining multiple identical models to reduce variance
D) A type of feature extraction
4. What is the primary goal of hyperparameter tuning during model building?
A) To increase model complexity
B) To optimize the settings that control the model's learning process
C) To improve data preprocessing techniques
D) To add more features to the model
5. When deploying a model, what is "model explainability"?
A) The simplicity of the model
B) The capability to interpret and understand the model's decisions and predictions
C) The process of data preprocessing
D) The time it takes to make predictions
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: B | Question # 3 Answer: C | Question # 4 Answer: B | Question # 5 Answer: B |
By Ron
