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SASInstitute A00-406 Exam Syllabus Topics:

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

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

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

2. In reinforcement learning, what is the "reward signal"?

A) The accuracy of the model's predictions
B) The final prediction made by the model
C) A regularization parameter
D) A numerical value that indicates the performance of an action taken by the agent

3. Which of the following is a common technique for handling missing data in a machine learning pipeline?

A) Replacing missing values with zeros
B) Ignoring missing data
C) Imputing missing values
D) Deleting rows with missing data

4. In model evaluation, what is the purpose of a ROC curve (Receiver Operating Characteristic)?

A) To evaluate the mean squared error of a model
B) To visualize data distribution
C) To measure feature importance
D) To compare models' performance in terms of sensitivity and specificity

5. Which type of data source typically stores structured data in a tabular format?

A) APIs
B) NoSQL databases
C) Text documents
D) Relational databases

Solutions: