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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 # 21

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?

Options:

A.  

Keep a human in the loop with all decision-making

B.  

Enhance the knowledge base with more detailed rules

C.  

Increase the number of input variables

D.  

Implement a more complex retrained model

Discussion 0
Question # 22

A government agency is operationalizing a new AI tool for predictive policing. The project manager needs to identify data subject matter experts (SMEs) to ensure data quality and relevance. The project team has access to historical crime data, socioeconomic data, and real-time incident reports.

Which method will help in determining the data SMEs for this project?

Options:

A.  

Conducting workshops to assess knowledge in real-time incident data processing

B.  

Identifying individuals who have worked on similar AI tools in policing

C.  

Evaluating the team ' s familiarity with historical crime and socioeconomic data

D.  

Reviewing certifications in advanced data analytics and machine learning

Discussion 0
Question # 23

After completing an AI project, the team is compiling a final report. They observed that the AI solution did not perform well in certain environments. What is the cause for the performance issue?

Options:

A.  

Misalignment of business objectives and AI capabilities

B.  

Failure to conduct a thorough compatibility assessment

C.  

Inadequate data preparation steps in the early phases

D.  

Insufficient training of the project team members

Discussion 0
Question # 24

A government agency is implementing a natural language processing (NLP) system to analyze public comments on new regulations. The project team needs to ensure the data sources are well-identified and accessible.

What is an effective method to meet the project team ' s objectives?

Options:

A.  

Conducting a thorough data inventory audit and ensuring it is well documented

B.  

Implementing an internal data catalog system

C.  

Utilizing data warehousing solutions for aggregation

D.  

Leveraging an existing customer relationship management (CRM) system

Discussion 0
Question # 25

A project team is evaluating whether an AI initiative should proceed beyond discovery. Stakeholders are aligned on objectives, but the team has not confirmed data access, quality, or legal constraints. What is the most appropriate next action?

Options:

A.  

Begin model development using sample data

B.  

Conduct a go/no-go assessment using readiness criteria

C.  

Move directly to deployment planning

D.  

Purchase additional compute infrastructure

Discussion 0
Question # 26

A project team is tasked with ensuring all AI-related decisions and actions are documented comprehensively for future auditing purposes. They need to track the reasons for specific AI choices, their impacts, and any issues encountered during the implementation.

What is represented in this situation?

Options:

A.  

Operational efficiency

B.  

Strategic alignment

C.  

Compliance management

D.  

Transparency

Discussion 0
Question # 27

A project manager is tasked with ensuring that an AI project complies with data regulations before data collection begins. This involves identifying all necessary requirements for trustworthy AI, including ethical considerations, privacy, and transparency.

What should the project manager do first?

Options:

A.  

Draft a detailed data governance framework to be reviewed later.

B.  

Perform a comprehensive assessment of data regulations and compliance requirements.

C.  

Schedule a meeting with stakeholders to discuss potential data collection compliance issues.

D.  

Develop a high-level strategy for data collection and aggregation.

Discussion 0
Question # 28

A project manager is preparing a contingency plan for an AI-driven customer service platform. They need to determine an effective strategy to handle potential system downtimes. Which strategy addresses the project manager’s objective?

Options:

A.  

Developing an automated fallback chatbot with limited capabilities

B.  

Providing extensive training to customer service representatives on handling AI failures

C.  

Creating a robust customer service logging system to quickly identify and resolve issues

D.  

Implementing a manual override system for critical customer queries

Discussion 0
Question # 29

A healthcare organization is preparing training data for an AI model that predicts patient readmissions. The team discovers inconsistent coding across clinics for the same diagnosis. Which action best addresses the problem during data preparation?

Options:

A.  

Determine and apply data transformation and standardization steps

B.  

Ignore the inconsistency because the model will learn patterns anyway

C.  

Replace real data with only synthetic data

D.  

Skip validation to save time

Discussion 0
Question # 30

An organization is planning their digital transformation initiatives by building an AI solution to focus on data-collection needs. The goal is to reduce the manual handling of data.

Which approach should be prioritized to achieve the objective?

Options:

A.  

Outsourcing data-processing tasks to third-party vendors

B.  

Implementing intelligent systems that can autonomously process and analyze data

C.  

Enhancing the current database infrastructure to handle larger volumes of data

D.  

Upgrading cloud storage solutions for better data management

Discussion 0
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