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SASInstitute A00-406 Exam Syllabus Topics:

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

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

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

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

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

3. What is a data lake?

A) A specialized database for time-series data
B) A backup system for relational databases
C) A centralized repository for storing all structured and unstructured data at any scale
D) A data storage solution designed for high-speed data retrieval

4. Which feature extraction method can take both interval variables and class variables as inputs?

A) Robust PCA
B) Singular value decomposition
C) Principal component analysis
D) Autoencoder

5. In reinforcement learning, what is the "reward signal"?

A) A regularization parameter
B) The accuracy of the model's predictions
C) A numerical value that indicates the performance of an action taken by the agent
D) The final prediction made by the model

Solutions: