📊 GMAT Exam Prep

A company's recruitment dashboard displays a table of current job openings. Columns include: Job ID, Department, Required Skills (comma-separated), Status (Open, Interviewing, On Hold), and Posting Date. There are 20 'Open' positions. If the company decides to prioritize hiring for 'Engineering' roles that require 'Python' skills and were posted within the last 30 days, which filtering sequence would most efficiently identify these positions?

A Filter by 'Required Skills' for 'Python', then by 'Department' for 'Engineering', then by 'Posting Date'.
B Filter by 'Department' for 'Engineering', then by 'Posting Date', then by 'Required Skills' for 'Python'.
C Filter by 'Status' for 'Open', then by 'Department' for 'Engineering', then by 'Required Skills' for 'Python', then by 'Posting Date'.
D Filter by 'Posting Date', then by 'Status' for 'Open', then by 'Required Skills' for 'Python', then by 'Department' for 'Engineering'.

✓ Correct Answer: Option C

Starting with 'Status: Open' drastically reduces the dataset. Then filtering by 'Department' and 'Required Skills' narrows it further before applying the time-based 'Posting Date' filter, which might be more computationally intensive.

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