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

2. What is the purpose of data profiling in data source management?

A) To execute data queries
B) To assess the quality and characteristics of data
C) To create data visualizations
D) To optimize data storage

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

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

4. What is metadata in the context of data sources?

A) Data that is encrypted for security
B) Data that is stored in a physical format
C) Data about data, providing information such as data source, structure, and context
D) Data that is in a non-standard, proprietary format

5. What is the significance of the "bias-variance trade-off" in machine learning?

A) It represents the trade-off between underfitting and overfitting.
B) It is not relevant in machine learning.
C) It indicates the trade-off between accuracy and precision.
D) It refers to the trade-off between the number of features and the model's complexity.

Solutions: