WGU Data-Management-Foundations Exam Syllabus Topics:

Topic	Details
Topic 1	Normalizing relational databases: This section of the exam measures skills of Data Analysts and covers organizing data using normalization steps. It focuses on reducing redundancy, splitting data into related tables, and improving consistency in a relational database.
Topic 2	Introduction to conceptual logical and physical data models: This section of the exam measures skills of Data Analysts and introduces the basic ideas behind conceptual, logical, and physical data models. It focuses on understanding how each model represents data at a different level, from high level business view to detailed database structure.
Topic 3	Attributes of databases tables and SQL commands: This section of the exam measures skills of Database Developers and explains the main features of databases and tables, along with basic SQL commands. It focuses on understanding rows, columns, data types, and how common SQL operations interact with these elements.
Topic 4	Running SQL queries to create and manipulate data: This section of the exam measures skills of Data Analysts and focuses on using SQL statements to build and change data structures and records. It includes creating tables and running queries to insert, update, delete, and retrieve data.
Topic 5	Creating databases and tables in SQL enabled database systems: This section of the exam measures skills of Database Developers and covers setting up databases and tables using SQL in relational systems. It focuses on choosing table structures, defining columns, and preparing the database so that data can be stored and managed correctly.

Reference: https://www.wgu.edu/online-it-degrees/data-analytics-bachelors-program.html

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