SASInstitute A00-406 : SAS® Viya® Supervised Machine Learning Pipelines

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SASInstitute A00-406 Exam Syllabus Topics:

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

1. What is the primary difference between supervised and unsupervised learning in model building?

A) The amount of labeled data required
B) The use of feature engineering
C) The type of data used
D) The presence or absence of a target variable

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

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

3. Which type of model is well-suited for solving classification problems when dealing with high- dimensional data, such as text?

A) Linear Regression
B) Random Forest
C) K-Means Clustering
D) Support Vector Machine (SVM)

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

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

5. What does API stand for in the context of data sources?

A) Application Program Interface
B) Application Programming Interface
C) Advanced Programming Integration
D) Automated Program Integration

Solutions: