Identify Data SMEs PMI-CPMAI Practice Questions (Page 2)

Questions 6–10

1. 6application · medium

   A financial services firm is building a model to detect insider trading. The data science team has access to employee trade records and corporate event calendars. They need to join these datasets, but they are unsure if the 'employee_id' field in the trade records matches the 'emp_code' field in the event calendar. Who should they ask to confirm the join key?

   • AThe human resources director who manages employee records
   • BThe data warehouse architect who designed the firm's data model
   • CThe legal counsel who advises on securities regulations
   • DThe compliance officer who reviews insider trading cases
   Reveal Solution Discussion Select an answer first
2. 7expert · hard

   A hospital is building a model to predict patient no-shows. The data science team has access to appointment records, but they are unsure whether the 'appointment_type' field (e.g., 'NEW', 'FOLLOW-UP', 'TELEHEALTH') is recorded consistently across all departments. Some departments may use different codes for the same type. The team needs to validate this before building the model. The team has limited time and must choose one approach. Which approach is most effective?

   • AAsk the hospital's IT director to check the database constraints
   • BReview the hospital's public website for appointment descriptions
   • CInterview a small group of front-desk schedulers from different departments to understand how they code appointments
   • DRun a statistical analysis to find the most common appointment types
   Reveal Solution Discussion Select an answer first
4. 8application · medium

   An insurance company is building a model to detect fraudulent claims. The data science team has access to claims data, but they are unsure which data sources contain information about 'prior claim history' versus 'policyholder demographics'. They need to locate the right data sources for each feature. Who should the team approach to point them to the correct data sources?

   • AThe external auditor who reviews financial statements
   • BThe claims adjusters who work with claims data daily
   • CThe human resources manager who handles employee records
   • DThe network security team that monitors access to the claims database
   Reveal Solution Discussion Select an answer first
5. 9foundation · easy

   Why is it important to involve business users who understand the context and meaning of data during requirements clarification?

   • AThey can ensure the data is stored in a secure and compliant manner.
   • BThey can optimize the performance of the data pipelines.
   • CThey can write the SQL queries needed to extract the data.
   • DThey can explain what the data represents and how it is used in business processes.
   Reveal Solution Discussion Select an answer first
6. 10application · medium

   A manufacturing company is building a predictive maintenance model for its assembly-line robots. The data science team has sensor logs, but they are unsure whether a 'fault_code = 47' means a mechanical jam or an electrical surge. The team needs to validate this interpretation before labeling training data. Which action is most appropriate?

   • AAsk the IT network administrator to trace the sensor data flow
   • BReview the sensor vendor's technical manual for the robot model
   • CRun a statistical correlation between fault codes and downtime records
   • DSchedule a working session with the maintenance engineers who interpret fault codes daily
   Reveal Solution Discussion Select an answer first