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Note: This question is part of a series of questions that use the same or similar answer choices. An answer choice may be correct for more than one question in the series. Each question is independent of the other questions in this series. Information and details provided in a question apply only to that question. You are designing a data warehouse and the load process for the data warehouse. You have a source system that contains two tables named Table1 and Table2. All the rows in each table have a corresponding row in the other table. The primary key for Table1 is named Key1. The primary key for Table2 is named Key2. You need to combine both tables into a single table named Table3 in the data warehouse. The solution must ensure that all the nonkey columns in Table1 and Table2 exist in Table3. Which component should you use to load the data to the data warehouse?
Correct Answer: G
Explanation/Reference: Explanation: The Lookup transformation performs lookups by joining data in input columns with columns in a reference dataset. You use the lookup to access additional information in a related table that is based on values in common columns. You can configure the Lookup transformation in the following ways: Specify joins between the input and the reference dataset. Add columns from the reference dataset to the Lookup transformation output. Etc. Incorrect Answers: F: The Aggregate transformation applies aggregate functions, such as Average, to column values and copies the results to the transformation output. Besides aggregate functions, the transformation provides the GROUP BY clause, which you can use to specify groups to aggregate across. References: https://docs.microsoft.com/en-us/sql/integration-services/data-flow/transformations/lookup- transformation