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SASInstitute A00-406 Exam Syllabus Topics:

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

1. When building a recommendation system, what does "collaborative filtering" rely on?

A) The popularity of items
B) The characteristics of the items being recommended
C) The past behavior or preferences of users
D) Item-based clustering

2. What is a data lake architecture designed to store primarily?

A) Only unstructured data in raw form
B) Highly structured data in tabular format
C) All types of data, including structured and unstructured data
D) Data from a single source or department

3. Which evaluation metric is commonly used for assessing the performance of a binary classification model?

A) Accuracy
B) R-squared
C) Root Mean Squared Error (RMSE)
D) Mean Absolute Error (MAE)

4. What is the purpose of hyperparameter tuning in a machine learning pipeline?

A) To optimize the model's hyperparameters for better performance
B) To train the model
C) To select the most important features
D) To evaluate the model's predictions

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

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

Solutions: