Building and Scaling dApps with AI and Smart Contracts BBLC Practice Questions (Page 10)

Questions 46–49

1. 46expert · hard

   A decentralized prediction market dApp uses AI to aggregate news sentiment and predict outcomes. The AI model runs off-chain and submits predictions to the smart contract. The team is facing high gas costs because the AI submits predictions too frequently. What is the best way to reduce gas costs while maintaining prediction accuracy?

   • AIncrease the gas price to ensure transactions are mined faster.
   • BSubmit predictions on every block to ensure the smart contract always has the latest data.
   • CUse AI to determine the optimal time to submit predictions, batching multiple predictions into a single transaction.
   • DUse a centralized server to submit predictions and rely on its uptime.
   Reveal Solution Discussion Select an answer first
2. 47application · medium

   A decentralized ride-sharing dApp uses AI to match drivers and riders. The matching algorithm runs off-chain, and the ride details are recorded on-chain. The team wants to scale the service to more cities without increasing on-chain costs. What is the best strategy?

   • AUse a layer-2 solution for ride matching and only settle the final ride on the main chain.
   • BRecord every matching attempt on-chain to ensure transparency.
   • CMove all ride data to a centralized database and only use the blockchain for payments.
   • DIncrease the block gas limit by contacting the Ethereum foundation.
   Reveal Solution Discussion Select an answer first
4. 48foundation · easy

   In a decentralized application (dApp), which of the following best describes a common approach to integrating AI to enhance user experience?

   • AReplacing the smart contract logic entirely with an AI model that executes on the Ethereum Virtual Machine
   • BStoring all AI training data on the blockchain to ensure transparency and immutability
   • CRunning the AI model directly inside every smart contract function to make on-chain predictions
   • DUsing an off-chain AI service to analyze user data and then sending the resulting insights to the dApp's frontend
   Reveal Solution Discussion Select an answer first
5. 49application · medium

   A decentralized marketplace for digital art uses AI to recommend artworks to users. The recommendation model runs off-chain and the purchase history is stored on-chain. The team notices that users are receiving irrelevant recommendations because the AI model does not have access to the on-chain purchase history. What is the best way to provide the AI model with the necessary data?

   • AHave the smart contract call the AI model directly with the purchase history.
   • BRequire users to submit their purchase history to the AI model each time.
   • CUse an indexer to read on-chain purchase events and feed them to the AI model off-chain.
   • DStore the purchase history in the AI model's database by manually exporting from the blockchain.
   Reveal Solution Discussion Select an answer first