A data analyst needs to create a master file that includes customer information from the tables below: Given the three tables above, the analyst wants to filter down the information prior to joining…

The correct answer is B. Merge, deduplicate, append. The most efficient approach is: (1) Merge - join the core related tables on a common key to combine their columns; (2) Deduplicate - remove any duplicate records produced by the merge before adding more data; (3) Append - add remaining rows or additional datasets to the cleaned…

Data Analysis

Question

A data analyst needs to create a master file that includes customer information from the tables below:

Given the three tables above, the analyst wants to filter down the information prior to joining it together. In which of the following orders should this data manipulation bo approached for the most efficient result?

Exhibit

Options

AMerge, append, deduplicate
BMerge, deduplicate, append
CDeduplicate, append, merge
DAppend, deduplicate, merge

How the community answered

(23 responses)

A
9% (2)
B
48% (11)
C
13% (3)
D
30% (7)

Explanation

The most efficient approach is: (1) Merge - join the core related tables on a common key to combine their columns; (2) Deduplicate - remove any duplicate records produced by the merge before adding more data; (3) Append - add remaining rows or additional datasets to the cleaned merged table. Deduplicating after the merge but before the append ensures the final append operation works on a clean, minimal dataset, reducing the volume of data processed in each step and avoiding compounding duplicates.

Topics

#Data preparation#Data integration#Data deduplication#Data pipeline optimization

Community Discussion

No community discussion yet for this question.

Full DA0-001 Practice