4.1 Explain AI’s Role in Exploratory Data Analysis (EDA) AI-TECHNICAL-PRACTITIONER Practice Questions (Page 6)

Questions 26–30

1. 26foundation · easy

   What is a primary advantage of AI-generated visualizations during EDA?

   • AThey are always more accurate than any human-created chart
   • BThey can quickly surface patterns that might be missed with manual plotting
   • CThey are guaranteed to be free of misleading representations
   • DThey eliminate the need for data cleaning
   Reveal Solution Discussion Select an answer first
2. 27application · medium

   A data scientist is exploring a sales dataset and wants to understand why certain product categories perform better in specific regions. An AI tool suggests a hypothesis that regional economic indicators might be a stronger driver than product features. What is the best next step for the data scientist?

   • AIgnore the hypothesis because AI cannot be trusted for such insights.
   • BUse the AI tool to design and run a statistical test to validate the hypothesis against the data.
   • CAsk a domain expert to manually check every possible relationship without using any statistical tools.
   • DAccept the hypothesis as true and immediately change the marketing strategy.
   Reveal Solution Discussion Select an answer first
4. 28foundation · easy

   In EDA, what do AI algorithms like clustering and correlation analysis help uncover?

   • AThe best way to present results to executives
   • BHidden patterns, correlations, and clusters in the data
   • CThe final model's prediction accuracy
   • DThe exact causal relationships between all variables
   Reveal Solution Discussion Select an answer first
5. 29expert · hard

   A data governance team is evaluating an AI-based data profiling tool for use across multiple departments. The tool automatically detects anomalies and summarizes distributions. The team is concerned about the tool's interpretability and potential biases. What is the most important consideration before deployment?

   • AEnsure the tool's outputs are explainable to non-technical stakeholders.
   • BEnsure the tool uses the most complex algorithms available, regardless of interpretability.
   • CEnsure the tool runs as fast as possible, even if it sacrifices accuracy.
   • DEnsure the tool automatically fixes all data quality issues without human review.
   Reveal Solution Discussion Select an answer first
6. 30application · medium

   A business analyst has a dataset with time-series sales data and wants to quickly identify seasonal trends and outliers without manually specifying which charts to create. Which AI capability is most directly useful?

   • AFeature selection that identifies the most important columns for the analysis.
   • BAutomated visualization that generates line charts and anomaly highlights based on the data's characteristics.
   • CHypothesis testing that confirms whether sales are seasonal without any visual exploration.
   • DAutomated data cleaning that removes all outliers before any analysis.
   Reveal Solution Discussion Select an answer first