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SASInstitute A00-406 Exam Syllabus Topics:

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

1. Which type of data source typically stores structured data in a tabular format?

A) NoSQL databases
B) APIs
C) Text documents
D) Relational databases

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

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

3. In a supervised machine learning pipeline, what is the purpose of the test data set?

A) To validate the model's performance
B) To train the machine learning model
C) To evaluate the model's predictions
D) To preprocess the data

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

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

5. Which technique is commonly used for feature scaling or normalization in machine learning pipelines?

A) Principal Component Analysis (PCA)
B) Decision Trees
C) Standardization
D) One-Hot Encoding

Solutions: