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SASInstitute A00-406 Exam Syllabus Topics:

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

Question 1

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

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

Question 2

In a supervised learning pipeline, what is the role of the training data set?

A. To validate the model's performance
B. To test the model's generalization capability
C. To train the machine learning model
D. To evaluate the model's predictions

Question 3

Which data source allows for real-time data streaming and processing?

A. Cloud storage
B. IoT devices
C. Data warehouses
D. Static data files

Question 4

When deploying a machine learning model, what is meant by "model latency"?

A. The time it takes to create synthetic data
B. The time it takes to train a model
C. The time it takes to build a model
D. The time it takes for the model to make predictions once deployed

Question 5

Which machine learning technique is typically used for building a model to predict a numeric target variable?

A. Regression
B. Dimensionality reduction
C. Classification
D. Clustering

Solutions: