AI-Driven Innovations in Blockchain-Based Trade Finance BBLC Practice Questions (Page 3)

Questions 11–15

1. 11application · medium

   A trade finance company implemented a successful pilot of AI-driven predictive analytics for shipment delays. The pilot reduced delays by 15%. Now they want to scale the solution to all trade routes. What is a key challenge they are likely to face?

   • AThe AI model will become less accurate as more data is added.
   • BBlockchain will become slower as more transactions are processed.
   • CIntegrating the AI predictions with existing smart contracts across different jurisdictions and data standards.
   • DThe pilot's success was due to luck and cannot be replicated.
   Reveal Solution Discussion Select an answer first
2. 12application · medium

   An export company submits bills of lading and commercial invoices to a blockchain-based trade finance platform. The platform currently requires manual data entry, which causes delays and errors. The company wants to automate document verification while maintaining a tamper-evident audit trail. What should they implement?

   • AA centralized document management system that stores PDFs and uses macros to copy data into the blockchain interface.
   • BA manual data entry team that double-checks every field before submission to the blockchain.
   • COptical character recognition (OCR) and AI-based extraction that populates smart contract fields, with hashes of the original documents stored on-chain.
   • DSmart contract code that reads PDF files directly from IPFS and parses them without any AI component.
   Reveal Solution Discussion Select an answer first
4. 13foundation · easy

   How does blockchain contribute to AI decision-making in trade finance?

   • ABy providing a trusted, auditable trail of data used by AI models
   • BBy replacing AI with smart contracts
   • CBy running AI algorithms directly on-chain
   • DBy encrypting AI models
   Reveal Solution Discussion Select an answer first
5. 14expert · hard

   A consortium of banks implemented an AI-powered document verification system on a shared blockchain. The system reduced processing time by 40%, but some member banks are concerned that the AI model is a 'black box' and that errors could lead to financial losses. They are considering whether to require human oversight for every document. What is the most effective way to address their concerns without losing the efficiency gains?

   • AImplement a hybrid approach where AI handles routine documents and human reviewers focus on exceptions or low-confidence cases.
   • BRequire human review of every document, effectively reverting to the manual process.
   • CDisable the AI system and use only traditional rule-based checks.
   • DShare the AI model's training data with all member banks to increase transparency.
   Reveal Solution Discussion Select an answer first
6. 15application · medium

   A trade finance consortium wants to use AI to analyze trade flows and identify opportunities for supply chain financing. They have data from multiple members stored on a permissioned blockchain. What is the primary advantage of using blockchain as the data source for the AI model?

   • ABlockchain eliminates the need for data cleaning before AI analysis.
   • BBlockchain guarantees that the AI model's predictions are always correct.
   • CThe data is consistent, traceable, and tamper-evident, which improves the reliability of AI insights.
   • DBlockchain automatically trains the AI model without external computation.
   Reveal Solution Discussion Select an answer first