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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, which type of filtering is based on the user's behavior and preferences?

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

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

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

3. What is the primary goal of A/B testing in the context of model deployment?

A) To assess data quality
B) To create synthetic data
C) To compare two different versions of a model or strategy to determine which performs better
D) To evaluate the model's accuracy

4. What is the primary goal of building models in data science and machine learning?

A) Data visualization
B) Data cleaning
C) Feature engineering
D) Making predictions or inferences from data

5. 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 an interval target.
D) F1 score is applicable to a model with a binary target.

Solutions: