Free PMI PMI-CPMAI Exam Dumps Questions & Answers

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

Which method can effectively augment a data set to increase data quantity if there is missing information?

• A.  Utilizing responsible AI techniques to capture data faster
• B.  Applying advanced sentiment analysis techniques
• C.  Using generative AI (GenAI) to create additional relevant data
• D.  Using rule-based systems to filter random data

A financial services firm is assessing the success of a newly operationalized AI system for fraud detection.
The project manager needs to evaluate the model against business key performance indicators (KPIs).
What is an effective method to help ensure the accuracy of this evaluation?

• A.  Implementing a single comprehensive metric
• B.  Consulting with external experts and auditors
• C.  Reviewing quarterly business financial reports
• D.  Utilizing a diverse set of validation techniques

A hospital project team is tasked with preparing patient telemetry data for a predictive maintenance AI model.
They need to help ensure the data is in the right format and shape for the model.
What should the project manager do to achieve these objectives?

• A.  Adopt a rule-based extraction, transformation, and loading (ETL) framework.
• B.  Employ machine learning (ML) algorithms.
• C.  Utilize an advanced data distribution service (DDS).
• D.  Implement a batch processing system to enhance performance.

A retail bank wants to reduce fraudulent transactions by detecting unusual card activity in near real time.
Which AI capability should be used?

• A.  Predictive analytics
• B.  Hyperpersonalization
• C.  Conversational
• D.  Autonomous systems