PMI PMI-CPMAI Value Pack (Frequently Bought Together)

A financial institution is implementing a new AI system for fraud detection. The project team must ensure the data meets the needs of the AI solution by verifying data quality, completeness, and relevance. They have access to various internal and external data sources.
Which method addresses the project team ' s objectives?

• A. Integrating data without improvement checks to expedite the project timeline
• B. Conducting a comprehensive data audit and cleansing process
• C. Limiting the data sources to internal databases to avoid complications
• D. Using pretrained models without tailoring to specific data

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?

• A. Perform a comprehensive assessment of data regulations and compliance requirements.
• B. Develop a high-level strategy for data collection and aggregation.
• C. Draft a detailed data governance framework to be reviewed later.
• D. Schedule a meeting with stakeholders to discuss potential data collection compliance issues.

A project manager is leading a complex project for a global financial institution. The project is developing an AI-driven system for real-time fraud detection and risk management. The system needs to adhere to all financial regulations. The project manager has identified skills gaps with the existing available resources.
What should the project manager do?

• A. Proceed with the project until external expertise is needed
• B. Engage consultants to fill the expertise gap
• C. Allocate additional budget for consultant AI training
• D. Delay the project until internal expertise is developed

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

A project involves integrating AI systems across multiple departments, each with different access levels. This complex AI project has presented the project manager with significant issues related to data misuse. The project team has been focused on their ethics guidelines but continues to experience data misuse. The project involves different regional data protection regulations which further increases the complexity.
What issue will cause these challenges to occur?

• A. Lack of a detailed plan addressing a governance strategy
• B. Failure to implement robust encryption for data security
• C. Limited awareness of explainability requirements
• D. Overlooking algorithmic bias and fairness concerns