Building and Scaling dApps with AI and Smart Contracts BBLC Practice Questions (Page 6)

Questions 26–30

1. 26expert · hard

   An insurance dApp uses an AI model to assess claims and automatically execute payouts via smart contracts. The team is concerned about the AI model being biased or making errors that lead to incorrect payouts. What is the most robust way to maintain trust and accountability?

   • AAllow the AI model to directly call the smart contract's payout function without any intermediary checks.
   • BImplement a decentralized oracle network that runs the AI model on multiple nodes and requires consensus on the output before the smart contract executes.
   • CUse a centralized AI service and trust its output because it is a reputable company.
   • DStore the AI model's training data on-chain so that anyone can audit the model's decisions.
   Reveal Solution Discussion Select an answer first
2. 27application · medium

   A decentralized energy trading platform uses AI to forecast energy production and consumption. The forecasts are used to automatically settle trades on a smart contract. The team wants to improve the accuracy of the forecasts. What is the most effective way to use AI in this context?

   • AUse a simple moving average of past energy production as the forecast.
   • BUse a fixed AI model that was trained once and never updated.
   • CRely on manual forecasts from energy experts and input them into the smart contract.
   • DTrain the AI model on historical energy data and continuously update it with real-time data from IoT sensors.
   Reveal Solution Discussion Select an answer first
4. 28foundation · easy

   Which component is essential in a hybrid architecture to securely bring off-chain AI results to the blockchain?

   • AA sidechain that runs the AI model
   • BAn oracle service that relays data from the AI model to the smart contract
   • CA centralized server that directly writes to the blockchain
   • DA hardware wallet to store the AI model's private keys
   Reveal Solution Discussion Select an answer first
5. 29application · medium

   An insurance dApp uses smart contracts to automate claim payouts. The team wants to use AI to detect fraudulent claims before triggering a payout. What is the most secure and practical way to integrate this AI decision into the smart contract workflow?

   • AUse a multi-signature wallet where the AI model is one of the signers.
   • BHave the AI model run off-chain and submit a risk score to the smart contract, which only pays out if the score is below a threshold.
   • CLet the AI model directly transfer funds from the insurance pool to the claimant.
   • DEmbed the AI model in the smart contract so that the contract itself evaluates each claim.
   Reveal Solution Discussion Select an answer first
6. 30application · medium

   A decentralized music streaming dApp wants to use AI to create personalized playlists for users. The listening history is stored on-chain. The team wants to keep the AI processing off-chain to avoid high gas costs. What is the best way to provide the AI model with the listening history?

   • ARequire users to export their listening history and upload it to the AI model.
   • BHave the smart contract send the listening history to the AI model via an oracle.
   • CStore the listening history on a centralized server and sync it with the blockchain.
   • DUse an indexer to query the listening history from the blockchain and feed it to the off-chain AI model.
   Reveal Solution Discussion Select an answer first