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PMI CPMAI Exam Syllabus Topics:

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

1. An energy technology company needs to convey data understanding to the leadership team for an AI project aimed at predicting equipment failures. The project involves analyzing sensor data from various equipment. Which necessary initial task should the project manager take?

A) Develop a preprocessing pipeline to clean and normalize sensor data.
B) Use a generative adversarial network (GAN) to simulate equipment behavior.
C) Construct a graphical model using DALL-E to depict failure predictions.
D) Employ a support vector machine to classify sensor data.

2. You want to make sure that in your HR hiring system that applicants have the ability to contest the result. In what layer of the Trustworthy AI framework do we address this need?

A) Ethical AI
B) Transparent AI
C) Governed AI
D) Responsible AI
E) Explainable AI

3. A government agency is implementing an AI-powered tool to enhance data security through anomaly detection. The project manager is assembling the team. To identify the subject matter experts (SMEs) who can provide the best insights and contributions to this project, the project manager needs to consider their experience and expertise in various technical domains. Which method will help identify the qualified data SMEs?

A) Assessing proficiency in developing generative adversarial networks (GANs) and experience in successfully generating synthetic data
B) Conducting interviews to assess their knowledge in anomaly detection
C) Evaluating expertise with existing data architectures and their ability to optimize databases
D) Examining their expertise in neural network calibration and hyperparameter tuning

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

5. A development team is tasked with creating an AI system to assist physicians with diagnosing medical conditions. They encountered cases where symptoms do not always lead to well-defined diagnoses. Which approach should the project manager integrate to handle the inherent uncertainty?

A) Implement a more complex retrained model.
B) Enhance the knowledge base with more detailed rules.
C) Increase the number of input variables.
D) Keep a human in the loop with all decision-making.

Solutions: