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

1. In reinforcement learning, what is the agent's objective?

A) To maximize a cumulative reward over time
B) To learn from labeled data
C) To generate synthetic data
D) To make predictions

2. Refer to the treemap shown in the exhibit below:

Which statement is true about the tree map for a decision tree with a binary target?

A) The darker bars represent nodes with a lower probability of event.
B) The top bar represents the node with the highest count.
C) The wider bars represent nodes with a higher probability of event.
D) The top bar represents the node with the highest probability of event.

3. When building a recommendation system, which type of filtering is based on the user's behavior and preferences?

A) Matrix factorization
B) Collaborative filtering
C) Content-based filtering
D) Singular Value Decomposition (SVD)

4. Which statements are true for the F1 score?
(Choose 2.)

A) F1 score is calculated based on a depth value.
B) F1 score is calculated based on a cut off value.
C) F1 score is applicable to a model with a binary target.
D) F1 score is applicable to a model with an interval target.

5. In a supervised machine learning pipeline, what is the purpose of the test data set?

A) To evaluate the model's predictions
B) To validate the model's performance
C) To train the machine learning model
D) To preprocess the data

Solutions: