Free PMI CPMAI Exam Dumps Questions & Answers

A financial services firm is operationalizing an AI-driven fraud detection system. The project manager needs to ensure the tool complies with relevant data privacy laws while providing secure data access to only authorized personnel. What is an effective technique to address these requirements?

• A.  Utilizing role-based access control (RBAC) to limit data access
• B.  Developing a comprehensive data classification policy (DCP)
• C.  Conducting a privacy impact assessment (PIA) to identify risks
• D.  Implementing real-time data verification (RTDV) processes

A capital markets firm is exploring the use of AI to enhance its trading algorithms. The firm expects the AI solution will increase trading accuracy and profitability. The project manager needs to create a business case to justify the AI investment. Which method will provide results that meet the firm's goals and objectives?

• A.  Performing a scenario analysis
• B.  Developing a financial impact assessment
• C.  Conducting a market trend analysis.
• D.  Consulting with AI vendors

An IT services company is working on a project to develop an AI-based customer support system.
During data preparation, the project manager needs to clean and transform customer interaction logs. What is an effective technique to handle any missing data?

• A.  Duplicate existing data to fill in missing gaps.
• B.  Remove records with missing values if minimal.
• C.  Ignore missing data if it seems insignificant.
• D.  Fill missing values with zeros without analysis.

A manufacturing company is operationalizing an AI-driven quality control system. The project manager needs to ensure data privacy and regulatory compliance due to the critical nature in protecting sensitive operational data. What is an effective technique that addresses these requirements?

• A.  Utilizing a secure multiparty computation framework
• B.  Using a hybrid encryption scheme for storage
• C.  Applying data anonymization to the dataset
• D.  Implementing a zero-trust architecture for network security

A financial services organization deploys an AI credit-scoring model. Post-deployment monitoring reveals systematic underprediction for a protected demographic group, potentially affecting loan approvals. Stakeholders are concerned about fairness and compliance risks. What should the project manager prioritize FIRST?

• A.  Retrain the model with additional data
• B.  Pause the system indefinitely
• C.  Conduct a bias and fairness audit
• D.  Replace the algorithm entirely