Free PMI PMI-CPMAI Exam Dumps Questions & Answers

A financial services firm is building an AI model to detect fraudulent transactions. Identifying and validating data sources is critical to the model ' s success.
What is an effective method that helps to ensure data accuracy?

• A.  Setting up a batch processing system for data cleansing
• B.  Utilizing data lineage tools to track data origin and transformations
• C.  Implementing a blockchain-based ledger for transaction data
• D.  Employing a federated database system for decentralized data access

An aerospace company is integrating AI into their manufacturing process to enhance safety and efficiency.
The project team needs to evaluate potential security threats to prevent unauthorized access to sensitive data.
What is the highest risk?

• A.  Secure APIs and data flows by enforcing data governance
• B.  Implementing an AI model without regular data updates
• C.  Operationalizing a decentralized data storage system
• D.  Employing a proprietary software with no open-source review

A team responsible for maintaining an AI-driven fraud detection system has noticed a decline in model performance.
Recent audits reveal that updates to the transactional database schema caused data field misalignments, leading to incorrect data inputs during model training.
What should the project manager do?

• A.  Perform additional fine-tuning using a batch of the most recent transactions.
• B.  Operationalize different models to adjust fraud predictions across changing data fields.
• C.  Modify the network data architecture by adding more internal database layers.
• D.  Adjust the data pipeline so features map to the proper database fields.

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?

• A.  Identifying individuals who have worked on similar AI tools in policing
• B.  Reviewing certifications in advanced data analytics and machine learning
• C.  Conducting workshops to assess knowledge in real-time incident data processing
• D.  Evaluating the team ' s familiarity with historical crime and socioeconomic data

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