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

2. When deploying a machine learning model, what is "model drift"?

A) A sudden increase in the model's accuracy
B) A change in the distribution of the input data or target variable over time
C) The process of feature extraction
D) A measure of feature importance

3. What does "data lineage" refer to in the context of data source management?

A) The security protocols for data access
B) The structure of a relational database
C) The history of data transformation processes
D) The physical location of data storage

4. Refer to the exhibit below:

Based on the output from the Data Exploration node shown in the exhibit, which variable has the most thin tails (most platykurtic distribution)?

A) Logi_rfm4
B) Logi_rfm8
C) Logi_rfm6
D) Logi_rfm12

5. A project has been created and a pipeline has been run in Model Studio.
Which project setting can you edit?

A) Event-based Sampling proportions
B) Rules for model comparison statistic
C) Partition Data percentages
D) Advisor Options for missing values

Solutions: