Apply AI Maturity Models and Benchmark Capabilities CAIPM Practice Questions (Page 4)

Questions 16–20

1. 16application · medium

   An energy company has completed an AI maturity assessment. The results show that the company has strong AI infrastructure and data, but its AI governance is weak, and there is no clear ownership for AI outcomes. The company is planning to deploy AI in safety-critical applications. What is the most important action to take based on the assessment?

   • AHire additional data scientists to improve model accuracy.
   • BDeploy the AI applications quickly to gain a competitive advantage.
   • CEstablish a robust AI governance framework with clear accountability and risk management processes.
   • DInvest in more powerful AI infrastructure to handle the complexity of safety-critical applications.
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2. 17application · medium

   A regional bank has deployed a single ML model for credit scoring. The model was built by one data scientist, uses a static dataset refreshed quarterly, and has no formal monitoring. The bank's AI governance committee wants to use a maturity model to plan improvements. The assessment shows the bank has a clear strategy and executive sponsorship, but data management and model operations are informal. Which maturity level best characterizes the bank's overall AI maturity?

   • ARepeatable — because the bank has a documented strategy and a deployed model
   • BManaged — because the model is in production and monitored by the data scientist
   • CDefined — because the bank has a governance committee and a clear AI strategy
   • DAd hoc — because AI activities are isolated and dependent on individual effort
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4. 18foundation · easy

   An AI maturity assessment shows that the organization scores low on the 'talent' dimension but high on 'technology'. What is a key actionable insight?

   • AThe organization should replace its technology stack immediately
   • BThe organization should ignore talent because technology is sufficient
   • CThe organization should invest in training and hiring to build AI skills
   • DThe organization should outsource all AI projects
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5. 19foundation · easy

   After completing an AI maturity assessment, what is the most appropriate next step?

   • AShare the results only with external auditors
   • BTranslate the results into actionable insights and prioritize improvement initiatives
   • CImmediately purchase new AI tools
   • DFile the results without further analysis
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6. 20application · medium

   A consulting firm is evaluating two AI maturity models for a client. Gartner's model emphasizes business value and strategy, while Microsoft's model focuses on organizational readiness and responsible AI. The client wants to understand both their current AI capabilities and their readiness to scale AI responsibly. Which approach is most appropriate?

   • AUse both models in a complementary way to get a holistic view
   • BUse only Microsoft's model because it includes responsible AI
   • CUse only Gartner's model because it is more widely recognized
   • DCreate a custom model by merging both into one
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