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PMI-CPMAI Practice Questions

PMI Certified Professional in Managing AI

Last Update 3 days ago
Total Questions : 144

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Question # 31

A manufacturing company is considering implementing an AI solution to optimize its supply chain. The project manager needs to determine if AI is necessary for this task.

Which action will address the requirements?

Options:

A.  

Determining the specific cognitive tasks that AI can perform within the supply chain

B.  

Evaluating the scalability of AI solutions for supply chain optimization

C.  

Assessing the cost-benefit ratio of an AI implementation for the supply chain

D.  

Identifying noncognitive versus AI methods used in supply chain management

Discussion 0
Question # 32

A transportation company is preparing data for an AI model to optimize fleet management. The project team is working with large amounts of structured and unstructured data.

If the project manager avoids addressing the variety of data during preparation, what will be the result?

Options:

A.  

Improved model accuracy

B.  

Increased data consistency

C.  

Decreased data processing speed

D.  

Reduced model performance

Discussion 0
Question # 33

A financial institution is planning to use AI capabilities to detect fraudulent transactions. The project manager needs to ensure that all necessary requirements are met before proceeding.

What is a necessary initial task?

Options:

A.  

Evaluating the accuracy of current fraud detection methods

B.  

Determining the scalability of AI solutions for transaction monitoring

C.  

Identifying the primary stakeholders and their needs

D.  

Assessing the ethical implications of using AI for fraud detection

Discussion 0
Question # 34

A manufacturing company is implementing an AI system to optimize production schedules. The project manager needs to gather the required data from machine sensors, production logs, and supply chain databases. During data collection, they notice discrepancies in machine sensor data.

What should the project manager do first?

Options:

A.  

Develop a data integration framework to harmonize formats.

B.  

Outsource data preprocessing to an external vendor.

C.  

Replace machine sensors for real-time data accuracy.

D.  

Implement a robust data validation and correction process.

Discussion 0
Question # 35

In an aerospace project focused on predictive maintenance using AI, the project team is facing challenges in coordinating the AI models ' operationalization across various manufacturing sites. Strong governance and corporate guardrails are established, but each site has different computational capabilities and network latencies.

What is an effective method that helps to ensure consistent AI performance across these sites?

Options:

A.  

Using site-specific AI model tuning

B.  

Operationalizing a decentralized AI architecture

C.  

Implementing a centralized AI model repository

D.  

Utilizing cloud-based AI services uniformly

Discussion 0
Question # 36

A team is in the early stages of an AI project. They need to ensure they have the necessary data and technology to support AI solution development.

What is the first step the project team should complete?

Options:

A.  

Assess the team’s current AI and data expertise.

B.  

Outline the business objectives for the AI project.

C.  

Verify the availability and quality of the required data.

D.  

Identify the gaps and procure the needed tools.

Discussion 0
Question # 37

A project manager is tasked with overseeing the implementation of an AI model for financial forecasting. They need to ensure the model ' s predictions are reliable.

If the model ' s error rate exceeds acceptable boundaries, what will occur next?

Options:

A.  

Operationalization delays due to model retraining

B.  

Reduced need for human oversight since additional AI models will be used

C.  

Higher than expected computational costs

D.  

Increased stakeholder confidence that the project team will correct

Discussion 0
Question # 38

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

Options:

A.  

Using generative AI (GenAI) to create additional relevant data

B.  

Utilizing responsible AI techniques to capture data faster

C.  

Using rule-based systems to filter random data

D.  

Applying advanced sentiment analysis techniques

Discussion 0
Question # 39

A hospital wants to develop a medical records system with the primary goal of minimizing or eliminating paper records. They have identified where the cognitive AI solution will be applied. In addition, business objectives have been quantified and key performance indicators (KPIs) have been determined.

What else needs to be done to progress to the next Cognitive Project Management for AI (CPMAI) phase?

Options:

A.  

Determine the project ROI

B.  

Begin prototype development

C.  

Create interdepartmental strategies

D.  

Explore external data sources

Discussion 0
Question # 40

A manufacturing company is operationalizing an AI-driven quality control system. The project manager needs to ensure data privacy and regulatory compliance due to the critical nature of protecting sensitive operational data.

What is an effective technique that addresses these requirements?

Options:

A.  

Implementing a zero-trust architecture for network security

B.  

Utilizing a secure multiparty computation framework

C.  

Applying data anonymization to the dataset

D.  

Using a hybrid encryption scheme for storage

Discussion 0
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