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SASInstitute A00-406 Exam Syllabus Topics:

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

1. What is the purpose of cross-validation in model building and evaluation?

A) Generating synthetic data
B) Splitting the dataset into training and testing sets
C) Reducing the dataset size
D) Assessing the model's generalization performance

2. In the context of data sources, what is meant by data versioning?

A) Storing multiple copies of the same data to increase redundancy
B) Keeping track of different versions or changes to data over time
C) Encrypting data to protect against unauthorized access
D) Compressing data to reduce storage space

3. What is the primary function of a data catalog in managing data sources?

A) Data documentation and discovery
B) Data analysis
C) Data visualization
D) Data storage

4. In the context of data integration, what does "data transformation" refer to?

A) Storing data in a centralized repository
B) Extracting data from source systems
C) Backing up data for disaster recovery
D) Converting and reshaping data to match the target schema

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

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

Solutions: