Considerations for Data Understanding include all of the following EXCEPT _________.

• A. data source assessment
• B. preparation of the data
• C. data quality checks
• D. exploratory data analysis

Answer: (B)

Understanding data involves evaluating where the data comes from, its quality, and what it reveals when you start to explore it. Assessing data sources helps you know reliability, lineage, and context. Checking data quality identifies missing values, inconsistencies, and outliers, which guides how trustworthy the data is for analysis. Exploratory data analysis is used to uncover patterns, trends, and relationships that inform modeling decisions.

The item that doesn't fit this phase is the preparation of the data. Preparing data—cleaning, transforming, normalizing, and combining datasets for modeling—belongs to the data preparation step, not to data understanding.