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The data engineering team maintains the databricks video

 ·  PT1H46M27S  ·  EN

data-engineer-professional video for the data engineering team maintains the following join logic between three Delta tables: df_students = spark . table (

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The data engineering team maintains the following join logic between three Delta tables: df_students = spark . table ( "students" ) df_courses = spark . table ( "courses" ) df_enrollments = spark . table ( "enrollments" ) df_join_1 = ( df_students . join ( df_enrollments , df_students . student_id == df_enrollments . student_id ) . select ( df_students . student_id , df_students . student_name , df_enrollments . course_id ) ) df_join_2 = ( df_join_1 . join ( df_courses , df_join_1 . course_id == df_courses . course_id ) . select ( df_join_1 . student_id , df_join_1 . student_name , df_courses . course_name ) ) ( df_join_2 . write . mode ( "overwrite" ) . table ( "students_courses_details" )) Which statement describes the result of this code block each time it is executed ?