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SASInstitute SAS® Viya® Supervised Machine Learning Pipelines Sample Questions:
1. In a machine learning pipeline, what is the purpose of cross-validation?
A) To split the dataset into training and testing sets
B) To train multiple models on different subsets of the data to assess generalization
C) To visualize the data distribution
D) To evaluate the model's performance on new data
2. Which of the following is an example of a NoSQL database that is commonly used to store unstructured data?
A) MySQL
B) Oracle Database
C) Microsoft SQL Server
D) MongoDB
3. Which data source typically provides access to real-time financial market data?
A) Weather stations
B) Stock market APIs
C) Online news websites
D) Social media platforms
4. What is the purpose of cross-entropy loss in machine learning, especially in the context of classification?
A) To quantify the variance of a model
B) To measure the dissimilarity between predicted and actual class probabilities
C) To evaluate feature importance
D) To calculate the mean squared error of a regression model
5. What is the primary objective of model evaluation in the context of building predictive models?
A) Assessing the model's performance and accuracy
B) Discovering patterns in data
C) Visualizing data
D) Cleaning the data
Solutions:
Question # 1 Answer: B | Question # 2 Answer: D | Question # 3 Answer: B | Question # 4 Answer: B | Question # 5 Answer: A |