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SASInstitute A00-406 Exam Syllabus Topics:

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

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

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

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

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

3. What does "feature selection" refer to in the context of model building?

A) The creation of synthetic features from existing data
B) The visualization of data distribution
C) The process of choosing the most relevant variables (features) for the model
D) The evaluation of model accuracy

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

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

5. What is feature engineering in the context of machine learning pipelines?

A) Testing the model's performance
B) Applying the model to new data
C) Creating new features from existing data
D) Building a machine learning model from scratch

Solutions: