The data engineering team has implemented a join logic between three Delta tables: `students`, `courses`, and `enrollments`. The final output is written to a table named `students_courses_details`. What happens each time this code block is executed?

Real Exam

Only newly added records to any of the source tables will be considered in the join operations. The matched records will overwrite the students_courses_details table.

2.6%

All records in the current version of the source tables will be considered in the join operations. The matched records will overwrite the students_courses_details table.

77.6%

These join operations are stateful, meaning that they will wait for unmatched records to be added to the source tables prior to calculating the results.

6.9%

All records in the current version of the source tables will be considered in the join operations. The unmatched records will overwrite the students_courses_details table.

9.5%

Only newly added records to any of the source tables will be considered in the join operations. The unmatched records will overwrite the students_courses_details table.

3.4%

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The data engineering team has implemented a join logic between three Delta tables: `students`, `courses`, and `enrollments`. The final output is written to a table named `students_courses_details`. What happens each time this code block is executed?

Databricks Certified Data Engineer - Professional

Get started today

Comments

The data engineering team has implemented a join logic between three Delta tables: students, courses, and enrollments. The final output is written to a table named students_courses_details. What happens each time this code block is executed?

The data engineering team has implemented a join logic between three Delta tables: `students`, `courses`, and `enrollments`. The final output is written to a table named `students_courses_details`. What happens each time this code block is executed?