AI Platforms, Tools, and Ecosystem Integration CAIPM Practice Questions (Page 12)

Questions 56–59

1. 56application · medium

   A multinational corporation is selecting an AI platform to process employee data across regions with strict data residency laws. The platform must allow data to be processed only in approved geographic regions and must provide audit logs for compliance. Which platform capability is most critical to evaluate?

   • AThe platform's ability to train models on the largest possible dataset
   • BThe platform's support for multiple programming languages
   • CThe platform's graphical user interface for building models
   • DData residency controls that restrict processing to specific regions and provide audit logging
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2. 57expert · hard

   A pharmaceutical company has a complex AI workflow that includes data ingestion from clinical trials, model training, validation, and deployment to a production environment. The workflow must be reproducible and auditable for regulatory compliance. The company uses a mix of on-premises and cloud resources. What should the company implement to manage this workflow?

   • AA pipeline orchestration tool that defines the workflow as code, tracks metadata, and supports versioned runs
   • BA manual process where data scientists run each step in a Jupyter notebook and document results in a wiki
   • CA set of shell scripts that run the workflow steps in sequence, with logs saved to a shared folder
   • DA cloud-based workflow service that only supports cloud resources, ignoring on-premises components
   Reveal Solution Discussion Select an answer first
4. 58expert · hard

   A logistics company is building an AI ecosystem to optimize delivery routes. The ecosystem includes a GPS data source, a route optimization model, and a delivery management system. The company wants to automate the entire process from data ingestion to route updates. The GPS data is streaming, and the route optimization model must be retrained periodically. What should the company implement?

   • AA streaming data pipeline that ingests GPS data, triggers model retraining on a schedule, and deploys updated models to the delivery system
   • BA batch process that collects GPS data daily, retrains the model, and manually updates the delivery system
   • CA single application that handles data ingestion, model training, and route updates in one monolithic process
   • DA direct connection from the GPS data source to the delivery system, bypassing the model
   Reveal Solution Discussion Select an answer first
5. 59expert · hard

   A government agency must select an AI platform for a citizen-facing service. The platform must be hosted in a specific country to comply with data sovereignty laws, must integrate with legacy on-premises systems, and must be procured through a competitive bidding process. The agency has a limited budget and cannot use platforms that require data to leave the country. Which platform should they choose?

   • AAn open-source platform deployed entirely on-premises to avoid any cloud dependency
   • BA global cloud platform with data processing in multiple regions to improve performance
   • CA third-party SaaS platform that stores data in the vendor's home country
   • DA cloud platform with a local region in the required country and a hybrid integration option
   Reveal Solution Discussion Select an answer first