AI Platforms, Tools, and Ecosystem Integration CAIPM Practice Questions (Page 4)

Questions 16–20

1. 16foundation · easy

   When evaluating AI platforms, which factor is most directly related to the platform's ability to handle growing data volumes and user loads?

   • AVendor reputation
   • BScalability
   • CIntegration requirements
   • DCost
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2. 17application · medium

   A logistics company wants to automate the process of training and deploying a demand-forecasting model. The process involves data extraction from multiple sources, data cleaning, model training, and deployment to a production endpoint. The company uses a mix of on-premises and cloud systems. What should the company implement to streamline this workflow?

   • AA cloud-based notebook that runs the entire pipeline interactively
   • BA single monolithic application that performs all steps in sequence on one server
   • CAn orchestration tool that schedules and coordinates the data pipeline, training job, and deployment steps across environments
   • DA set of manual scripts that must be run by a data engineer each time the model needs updating
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4. 18expert · hard

   A financial services company runs a real-time fraud detection model that must respond within 100 milliseconds. The model is deployed on a GPU cluster, but response times are inconsistent. The program manager must optimize performance while keeping costs predictable. Which combination of actions should they take?

   • AUse a larger GPU cluster permanently to ensure low latency
   • BMove the model to a CPU-only cluster to reduce costs
   • CReserve a baseline of GPU instances and use burstable capacity for peak loads, while profiling the model to reduce inference latency
   • DScale the cluster up and down aggressively based on real-time demand
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5. 19expert · hard

   A retail company is integrating an AI platform for personalized marketing. The platform uses customer data from the company's CRM and web analytics. The company must comply with GDPR, which includes the right to be forgotten. The company also wants to ensure that customer data is not exposed to unauthorized parties. What should the company implement?

   • AA data management layer that supports data deletion requests and enforces role-based access controls on all data used by the AI platform
   • BA data anonymization process that removes all personal data before sending it to the AI platform
   • CA one-time data migration to the AI platform, with no further updates or deletions
   • DA direct connection from the CRM to the AI platform, with no access controls
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6. 20application · medium

   A multinational corporation is integrating an AI platform that processes employee data across multiple regions. The legal team requires that data processing comply with GDPR, which includes restrictions on cross-border data transfers. The AI platform vendor offers deployment options in several cloud regions. What should the corporation do to ensure compliance?

   • ADeploy the AI platform in a cloud region within each country where employee data is processed, and configure data residency policies
   • BRely on the vendor's standard data processing agreement without checking regional data residency options
   • CUse a single cloud region in the corporation's headquarters country and transfer all employee data there for processing
   • DStore all employee data on-premises and use the AI platform only for processing, without storing data in the cloud
   Reveal Solution Discussion Select an answer first