AI-Driven Innovations in Blockchain-Based Trade Finance BBLC Practice Questions (Page 2)

Questions 6–10

1. 6application · medium

   A trade finance platform uses smart contracts to automate the execution of trade agreements. The platform wants to incorporate AI to ensure that the smart contract only executes when all regulatory compliance checks are passed. Which approach best achieves this?

   • AUse AI to manually review each transaction and then manually trigger the smart contract execution.
   • BUse AI to monitor the smart contract after execution and flag any compliance violations for manual review.
   • CUse AI to perform compliance checks on transaction data and documents, and have the smart contract call an AI oracle to verify compliance before executing.
   • DEmbed the AI model directly into the smart contract code, so the contract can make compliance decisions without external calls.
   Reveal Solution Discussion Select an answer first
2. 7application · medium

   A trade finance consortium is implementing a blockchain platform to digitize letters of credit. They need to automate the verification of invoices and bills of lading to reduce manual errors and speed up processing. Which AI capability is most directly relevant to this requirement?

   • AComputer vision to scan and store document images on the blockchain without extracting data.
   • BNatural language processing (NLP) to extract key data fields from unstructured documents and compare them against the terms of the letter of credit.
   • CMachine learning to predict the creditworthiness of the buyer based on historical transaction data.
   • DRobotic process automation (RPA) to manually enter data from documents into the blockchain system.
   Reveal Solution Discussion Select an answer first
4. 8foundation · easy

   Which benefit is most directly associated with integrating AI into a blockchain-based trade finance system?

   • ARemoving the need for human oversight
   • BEliminating all cybersecurity risks
   • CEnhancing decision-making through data-driven insights
   • DGuaranteeing that every trade is profitable
   Reveal Solution Discussion Select an answer first
5. 9application · medium

   A trade finance platform wants to automatically block payments that are likely fraudulent while allowing legitimate transactions to proceed. They have a machine learning model that scores transactions in real time. How should they integrate this model with their smart contract system?

   • AUse a fixed list of blacklisted accounts maintained manually by the compliance team.
   • BHave the smart contract call an off-chain AI service to obtain a risk score before executing the payment.
   • CDelay all payments by 24 hours to allow for manual fraud review.
   • DEmbed the AI model directly into the smart contract code.
   Reveal Solution Discussion Select an answer first
6. 10application · medium

   A trade finance platform wants to use AI to recommend optimal payment terms based on predicted delivery performance. The recommendations must be recorded in a way that is transparent and cannot be altered retroactively. Which combination of technologies should they use?

   • AAI model stores recommendations in a local database with timestamps.
   • BSmart contract runs the AI model directly and stores the full model output on-chain.
   • CAI model sends recommendations via email to all parties, and the email is considered the record.
   • DAI model generates recommendations, and a smart contract records the recommendation hash on the blockchain.
   Reveal Solution Discussion Select an answer first