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

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PMI CPMAI Exam Syllabus Topics:

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

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

2. In an aerospace manufacturing project, engineers are preparing data to train an AI system for predictive maintenance. They need to transform the data from multiple sensors and ensure it is consistent and accurate before building the model. What should the project manager do to handle the inconsistencies?

A) Enhance the current data with additional sources.
B) Implement a validation protocol for sensor data.
C) Identify and reconcile conflicting data points.
D) Use data augmentation techniques to fill the gaps.

3. Your team has built a new robot that roams the halls at your organization and helps with various things such as small deliveries. However, you notice that many employees are opting not to use the robot. When you ask them why they tell you that the robot looks "creepy" and they would rather not interact with it. What's going on here?

A) Bias towards the robot
B) The bot is falling into The "Uncanny Valley"
C) Safety and reliability issues that impact bot usefulness
D) Lack of understanding the robot's usefulness

4. You are working on the data engineering pipeline for the AI project and you want to make sure to address the creation of pipelines to deal with model iteration. What part of the pipeline best deals with this step?

A) Data Acquisition / Ingest / Capture
B) Retraining Pipelines
C) ELT pipeline
D) Feature Engineering

5. During the initial phase of an AI project, the team is assessing project success criteria. The project manager discovers that the project may be violating some compliance rules. What problem describes the issue the project team is facing?

A) Failure to identify applicable data regulations early on
B) Lack of clarity on the project's business objective
C) Inadequate separation of cognitive and noncognitive software
D) Absence of a clear AI go/no-go assessment

Solutions: