AI Strategy and Planning CRAGE Practice Questions (Page 4)

Questions 16–20

1. 16expert · hard

   A retail chain is planning to implement AI for demand forecasting. The company has a limited budget and must show value within one year. The data science team is small, and the data is scattered across legacy systems. Which roadmap approach best balances quick wins with long-term capability building?

   • ACreate a comprehensive AI roadmap with multiple parallel projects to maximize learning.
   • BDeploy a commercial demand forecasting tool across all stores immediately to achieve scale.
   • CInvest heavily in a new data warehouse and hire additional data scientists before starting any AI project.
   • DStart with a limited-scope pilot using existing data, measure forecast accuracy against a baseline, and then expand after proving value.
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2. 17application · medium

   A government agency wants to use AI to automate document review. The agency has a mature IT department but lacks AI expertise and has strict data privacy rules. What should the agency do first in its AI planning?

   • AHire external AI consultants to build a custom solution without an internal assessment.
   • BAssess the agency's AI maturity, focusing on data governance, skills, and the regulatory constraints on data handling.
   • CDefine the AI vision and goals first, and then assess maturity after the strategy is approved.
   • DProcure a commercial AI tool and pilot it on a small set of documents to test its effectiveness.
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4. 18application · medium

   A logistics company wants to implement AI for route optimization. They have a small data team, limited data quality, and no clear ownership of AI initiatives. The CEO wants a roadmap. What should the roadmap prioritize?

   • ASet KPIs for route efficiency.
   • BHire a large data science team.
   • CImprove data quality and establish AI governance ownership.
   • DDeploy a route optimization model immediately.
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5. 19expert · hard

   A healthcare consortium is developing an AI diagnostic tool that will be used by multiple hospitals. Each hospital has different data governance policies, and patient advocacy groups demand transparency. The consortium wants a unified strategy. What is the most effective stakeholder engagement approach?

   • ACreate a governance council with representatives from each hospital and patient groups.
   • BLet the lead hospital set the strategy for all.
   • CUse a single data governance policy for all hospitals.
   • DEngage only the hospital IT departments.
   Reveal Solution Discussion Select an answer first
6. 20foundation · easy

   Which of the following is an example of a regulation that can impact AI strategy and planning?

   • AHealth Insurance Portability and Accountability Act (HIPAA)
   • BGeneral Data Protection Regulation (GDPR)
   • CPayment Card Industry Data Security Standard (PCI DSS)
   • DInternational Organization for Standardization (ISO) 9001
   Reveal Solution Discussion Select an answer first