Choose PMI-CPMAI most accurate study material

A telecommunications company is implementing an AI-driven customer support system. The project manager is responsible for overseeing the data evaluation. They need to ensure that the AI system provides accurate and helpful responses to customer queries.
What is an effective method that helps to ensure these objectives are achieved?

• A. Relying on periodic training sessions for customer support staff to improve their understanding of the AI system
• B. Implementing a static rule-based system alongside the AI system to handle complex customer questions
• C. Conducting quarterly performance reviews using customer satisfaction surveys
• D. Regularly updating the AI system ' s knowledge base with the latest information and feedback from customer interactions

After completing an AI project, the project manager begins preparing the final report and reflecting on lessons learned. They identified that the project team lacked sufficient AI and data knowledge.
If adequate knowledge was available, how would the result be different?

• A. The AI project would have faced fewer governance issues.
• B. The AI project timeline would have been shorter.
• C. The AI model would have achieved higher accuracy rates.
• D. The AI project team would have required less external consultation.

An engineering company plans to build a chatbot that answers employee questions about the existing parts inventory knowledge base.
The project manager is not sure how employees currently locate this data.
What should the project manager do?

• A. Automate the knowledge base so the chatbot can answer questions and use human escalation when it fails to find content.
• B. Replace direct access to the inventory with the chatbot; the chatbot is more efficient than human intervention.
• C. Map the processes users follow to find information in the knowledge base and identify repeatable request types.
• D. Focus on selecting the large language model that scores well on trial questions, emphasizing model performance.

A healthcare organization is preparing training data for an AI model that predicts patient readmissions. The team discovers inconsistent coding across clinics for the same diagnosis. Which action best addresses the problem during data preparation?

• A. Skip validation to save time
• B. Ignore the inconsistency because the model will learn patterns anyway
• C. Determine and apply data transformation and standardization steps
• D. Replace real data with only synthetic data

An AI project team is in the process of designing a security plan. The team needs to consider various aspects such as transparency, explainability, and compliance with data regulations.
Which action should the project manager take?

• A. Focus only on technical security measures, ignoring transparency
• B. Assume compliance without reviewing current regulations
• C. Rely solely on encryption without considering other security aspects
• D. Ensure the AI system ' s decisions are transparent and explainable