Conduct AI Readiness Assessments CAIPM Practice Questions (Page 6)

Questions 26–30

1. 26application · medium

   A non-profit organization is assessing AI readiness for donor segmentation. They need to understand the skills of their fundraising team, the quality of their donor database, and the leadership's openness to AI. Which combination of methods is most appropriate?

   • AIT infrastructure benchmark only.
   • BFinancial audit and donor satisfaction survey.
   • CCompetitor analysis and market research.
   • DSkills survey, data quality audit, and leadership interviews.
   Reveal Solution Discussion Select an answer first
2. 27foundation · easy

   Which method is most appropriate for collecting qualitative insights about employee attitudes toward AI adoption?

   • AInterviews with key stakeholders
   • BNetwork bandwidth testing
   • CDatabase schema review
   • DServer log analysis
   Reveal Solution Discussion Select an answer first
4. 28application · medium

   A retail company is assessing AI readiness for demand forecasting. They need to understand the quality and accessibility of their sales data, the skills of their analytics team, and the willingness of store managers to adopt AI-driven recommendations. Which combination of methods is most effective?

   • AData audit, skills assessment survey, and interviews with store managers.
   • BFinancial audit and customer satisfaction survey.
   • CFocus groups with end customers only.
   • DInfrastructure benchmark and competitor analysis.
   Reveal Solution Discussion Select an answer first
5. 29foundation · easy

   Which element is essential for making a readiness assessment report actionable?

   • ASpecific recommendations with assigned owners and timelines
   • BA list of all interview transcripts without summaries
   • CA detailed history of all previous AI projects
   • DA collection of vendor brochures for potential AI solutions
   Reveal Solution Discussion Select an answer first
6. 30expert · hard

   A financial services firm conducted an AI readiness assessment. The results show: strong data governance, but data silos between departments; high AI skills in the data science team, but low AI awareness among business leaders; and a risk-averse culture. The firm wants to launch a customer segmentation model. Which set of actions addresses the most critical gaps?

   • ABreak down data silos through a data integration initiative and run an executive awareness program to build support.
   • BLaunch the model immediately and address gaps later.
   • CImplement a stricter data governance policy to ensure compliance.
   • DHire more data scientists to build the model faster.
   Reveal Solution Discussion Select an answer first