DA0-002 Question #7: Real Exam Question with Answer & Explanation

Question

A data analyst is joining two tables with different content and one common field. Which of the following should the analyst do to most efficiently meet this requirement?

Options

• AMatch the records of the related columns and merge the tables.
• BCreate a cluster to facilitate data integration between the tables.
• CExplode both tables to identify unique values and reorder the fields in one table.
• DAppend the values of the matching columns and concatenate the other data fields.

Explanation

To combine two tables with different content but a common field, the most efficient method is to perform a merge (or join) operation, matching records based on the shared column. This aligns rows from both tables where the common field values are identical.

Common mistakes.

• B. Creating a cluster is a machine learning technique for grouping similar data points, not a method for integrating or joining two distinct tables based on a common field.
• C. "Exploding" tables to identify unique values and reordering fields is a convoluted and inefficient process that does not achieve the goal of combining two tables based on a common field.
• D. Appending combines tables vertically (stacking rows), which is suitable for tables with the same structure, not for combining tables with different content based on a common field. Concatenating fields is a string operation, not a table-joining method.

Concept tested. Data joining/merging

Reference. https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.merge.html

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