PMI CPMAI actual dump : Cognitive Project Management in AI (PMI-CPMAI)

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PMI CPMAI Exam Syllabus Topics:

PMI Cognitive Project Management in AI (PMI-CPMAI) Sample Questions:

1. Your team has created a model that is going to be used for monitoring systems and it needs to provide analysis on a weekly basis. What's the most appropriate Model Operationalization approach?

A) Stream learning
B) Real-time prediction
C) Batch prediction
D) Web service / Microservice

2. Accompany wants to determine whether to move forward with an AI project. The project manager has answered and received approval for all questions on technology, data, and business feasibility. Which activity did the project manager perform?

A) Data collection and aggregation
B) Conducted a go/no-go assessment
C) Operationalized a pilot version
D) Developed initial machine learning models

3. A healthcare organization plans to use an AI solution to predict patient readmissions. The data science team needs to identify data sources and ensure data quality. Which method will meet the project team's objectives?

A) Setting up a continuous integration pipeline for real-time data validation
B) Implementing data augmentation techniques to fill missing values
C) Using data profiling tools to assess data completeness
D) Operationalizing a data catalog to maintain metadata standards

4. A healthcare organization is developing an Al model to predict patient outcomes. The project manager needs to address issues of missing or incorrect data before training the model. What is an effective method to help ensure data quality?

A) Implementing an AI data needs assessment
B) Applying predictive data algorithms
C) Enhancing with data augmentation techniques
D) Performing systematic data validation

5. An IT services company project manager is creating an AI project scope statement. They need to include details on the environments, devices, and personnel that will use the AI solution. What should the project manager do?

A) Develop a comprehensive usage scenario analysis.
B) Gain stakeholder buy-in to proceed with the project.
C) Perform a detailed technical requirements audit for the scope statement.
D) Create an AI efficacy program to complete the scope statement.

Solutions: