Conduct AI Readiness Assessments CAIPM Practice Questions (Page 9)

Questions 41–45

1. 41foundation · easy

   In an AI readiness assessment, which dimension focuses on the organization's ability to support and sustain AI systems?

   • AEmployee satisfaction surveys
   • BMarketing strategy
   • CCompetitor analysis
   • DInfrastructure
   Reveal Solution Discussion Select an answer first
2. 42application · medium

   A program manager has completed an AI readiness assessment for a bank. The findings show that the bank has strong data governance but lacks AI skills in business units and has no clear AI strategy. What is the most effective way to document these findings for the board?

   • ASend a short email summarizing the assessment was completed.
   • BPresent raw survey data without analysis.
   • CWrite a detailed technical report on data governance policies.
   • DCreate a visual dashboard showing readiness scores by dimension, with a narrative that links gaps to strategic risks and recommended actions.
   Reveal Solution Discussion Select an answer first
4. 43expert · hard

   An e-commerce company's AI readiness assessment found: high-quality data, but no clear data ownership; a skilled data science team, but no model deployment pipeline; and a culture that is open to AI, but no executive sponsor. The company has limited budget and wants to deploy a recommendation engine in 6 months. Which action should be prioritized?

   • AHire additional data scientists to speed up model development.
   • BDefine data ownership policies before anything else.
   • CAssign a dedicated executive sponsor to champion the AI initiative and secure resources.
   • DBuild a model deployment pipeline immediately.
   Reveal Solution Discussion Select an answer first
5. 44application · medium

   A university is assessing AI readiness for a student-admissions chatbot. Which set of dimensions is most important to evaluate?

   • AData quality and privacy, IT infrastructure, staff skills, institutional culture, and governance policies.
   • BNumber of chatbots in use at other universities and their vendors.
   • CAlumni donations and fundraising success.
   • DStudent enrollment numbers, tuition fees, and campus size.
   Reveal Solution Discussion Select an answer first
6. 45expert · hard

   A logistics company's AI readiness assessment found: excellent data quality, but no data integration between warehouses; a skilled data science team, but no model monitoring process; and a culture that is risk-averse. The company has a limited budget and wants to implement a demand forecasting model. Which action should be prioritized?

   • AHire additional data scientists.
   • BEstablish a model monitoring process.
   • CRun a change-management program to reduce risk aversion.
   • DIntegrate warehouse data systems to create a unified data source.
   Reveal Solution Discussion Select an answer first