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

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SASInstitute A00-406 Exam Syllabus Topics:

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

1. What is the main goal of data preprocessing in a machine learning pipeline?

A) To visualize the data
B) To prepare the data for analysis and modeling
C) To train the model
D) To remove irrelevant features

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

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

3. What is a common example of an external data source for an organization?

A) Intranet portals
B) Customer surveys
C) Employee databases
D) Internal emails

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. In reinforcement learning, what is the agent's objective?

A) To generate synthetic data
B) To make predictions
C) To maximize a cumulative reward over time
D) To learn from labeled data

Solutions: