PMI CPMAI : 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. 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) Governed AI
B) Ethical AI
C) Explainable AI
D) Responsible AI
E) Transparent AI

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

3. Your team has been asked to summarize and highlight patterns in historical purchasing data, identifying prior performance metrics and patterns. What type of analytics is most appropriate to apply for this need?

A) Descriptive Analytics
B) Predictive Analytics
C) Diagnostic Analytics
D) Projective Analytics

4. An IT services company is developing an AI-driven customer support chatbot. The project manager assembling the team needs to identify the data subject matter experts (SMEs) who can contribute effectively to the chatbot training and optimization. What expertise should the project manager look for to meet this objective?

A) Experience with generative adversarial networks (GANs) and generating realistic synthetic data
B) Knowledge of long-short-term memory (LSTM) neural networks and success in handling long- term dependencies
C) Proficiency in convolution neural networks (CNNs) and their use in image recognition
D) Background in recurrent neural networks (RNNs) and effectiveness in sequential data processing

5. Upper management is looking to roll out a new product and wants to see if there are any patterns and insights that can be discovered from customer data. Your team has been tasked to discover these potential patterns and structures within this data. Which type of machine learning approach would be most appropriate to pick for this problem?

A) Supervised Learning
B) Unsupervised Learning
C) All would work equally well
D) Reinforcement Learning

Solutions: