Evaluate Initial AI Feasibility PMI-CPMAI Practice Questions (Page 3)

Questions 11–15

1. 11foundation · easy

   In an AI vs. traditional solutions comparison, which aspect is typically evaluated?

   • AThe completeness of the training data
   • BThe inference time of the model
   • CThe risk of the AI solution compared to a rule-based system
   • DThe number of data scientists needed
   Reveal Solution Discussion Select an answer first
2. 12foundation · easy

   In a data availability analysis, which factor is most important to confirm?

   • AThe data is labeled and free of errors
   • BThe data is accessible and covers the problem domain
   • CThe data is stored in a cloud environment
   • DThe data is processed in real time
   Reveal Solution Discussion Select an answer first
4. 13application · medium

   A logistics company wants to optimize delivery routes. They have a small dataset of past deliveries, but the data is noisy and incomplete. The company's IT team is proficient in traditional optimization algorithms. What should the company do to evaluate initial AI feasibility?

   • AHire a team of data scientists to build a custom AI model regardless of the data issues.
   • BProceed with AI because it is always more accurate than traditional algorithms.
   • CCompare the expected performance of an AI model against a traditional route-optimization algorithm, considering the data limitations.
   • DFocus only on improving data quality before considering any solution.
   Reveal Solution Discussion Select an answer first
5. 14application · medium

   A government agency wants to use AI to automate the review of public comments on proposed regulations. The agency has a strong IT department but no experience with natural language processing. The data is publicly available and well-structured. What is the most significant organizational readiness factor to address?

   • AThe lack of a data governance policy for public comments.
   • BThe lack of sufficient computational resources to train the model.
   • CThe lack of NLP expertise and the need for training or hiring data scientists.
   • DThe lack of integration with the agency's existing document management system.
   Reveal Solution Discussion Select an answer first
6. 15foundation · easy

   What is the primary purpose of a data availability analysis?

   • ATo measure the accuracy and completeness of the data
   • BTo estimate the computational resources needed for training
   • CTo compare AI solutions with traditional alternatives
   • DTo determine if sufficient relevant data exists for training and validating the model
   Reveal Solution Discussion Select an answer first