DAA-C01 · Question #127
What distinguishes exploratory ad-hoc analyses from routine data analysis?
The correct answer is A. Ad-hoc analyses explore patterns and anomalies beyond established routines. Option A is correct because exploratory ad-hoc analyses are by definition unplanned investigations driven by curiosity, anomalies, or unexpected findings - they go beyond what routine workflows cover and adapt dynamically as new patterns emerge. Options B and D are wrong for…
Question
What distinguishes exploratory ad-hoc analyses from routine data analysis?
Options
- AAd-hoc analyses explore patterns and anomalies beyond established routines.
- BAd-hoc analyses focus only on established trends.
- CAd-hoc analyses rely solely on predefined queries.
- DThey query known patterns without further exploration.
How the community answered
(33 responses)- A94% (31)
- C3% (1)
- D3% (1)
Explanation
Option A is correct because exploratory ad-hoc analyses are by definition unplanned investigations driven by curiosity, anomalies, or unexpected findings - they go beyond what routine workflows cover and adapt dynamically as new patterns emerge. Options B and D are wrong for the same reason: they describe the opposite of ad-hoc work, suggesting it sticks to known or established patterns, when in reality ad-hoc analysis exists precisely to venture outside those patterns. Option C is also incorrect because predefined queries are the hallmark of routine analysis - ad-hoc work is characterized by flexible, spontaneous querying rather than fixed templates.
Memory tip: Think of "ad-hoc" as Latin for "for this" - it's built for this specific, one-off question that your normal dashboards can't answer, so it must explore freely rather than follow a script.
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