Building and Scaling dApps with AI and Smart Contracts BBLC Practice Questions (Page 5)

Questions 21–25

1. 21application · medium

   A gaming dApp experiences network congestion during peak hours, leading to slow transaction confirmations and high gas fees. The team wants to use AI to optimize transaction throughput without changing the underlying blockchain protocol. Which approach is most effective?

   • AMove all game logic to a centralized server and only use the blockchain for final settlement.
   • BIncrease the gas price for all transactions to prioritize them in the mempool.
   • CUse AI to compress transaction data so that each transaction takes up less block space.
   • DUse an AI model to predict peak demand and automatically batch or schedule non-urgent transactions to off-peak times.
   Reveal Solution Discussion Select an answer first
2. 22expert · hard

   A supply chain dApp currently records every shipment event on-chain, leading to high costs and slow throughput. The team wants to use AI to optimize the process. Which combination of strategies would most effectively reduce on-chain load while maintaining data integrity?

   • AIncrease the block gas limit by coordinating with other dApps.
   • BSwitch to a private blockchain with a higher transaction throughput.
   • CStore all data on IPFS and only put a single hash on-chain for the entire dataset.
   • DUse AI to identify anomalous events and only record those on-chain, while storing normal events off-chain with periodic hashes.
   Reveal Solution Discussion Select an answer first
4. 23foundation · easy

   How can AI be used to optimize resource management in a dApp?

   • ABy increasing the gas limit of every transaction
   • BBy predicting user demand and automatically scaling off-chain services
   • CBy storing all data on-chain to reduce off-chain resource usage
   • DBy using AI to mine new tokens for the dApp
   Reveal Solution Discussion Select an answer first
5. 24application · medium

   A decentralized voting dApp wants to use AI to detect duplicate or fraudulent votes. The voting records are stored on-chain. What is the best way to process this data with AI while maintaining the integrity of the voting process?

   • AUse an indexer to extract voting data from the blockchain and run an off-chain AI model to detect anomalies.
   • BRun the AI model inside the smart contract during the voting process.
   • CStore voting data off-chain and only put a hash on-chain, then run AI on the off-chain data.
   • DHave the AI model directly modify the voting records on-chain to remove duplicates.
   Reveal Solution Discussion Select an answer first
6. 25application · medium

   A decentralized identity dApp uses AI to verify user documents. The verification process is computationally intensive and causes high latency. The team wants to reduce latency while keeping the verification results on-chain. What is the best approach?

   • AUse a larger block size to accommodate more AI computations per block.
   • BRun the AI verification model directly on-chain in the smart contract.
   • CPerform document verification off-chain using a fast AI inference service, then submit only the verification result and a hash of the document to the smart contract.
   • DSkip on-chain recording and only store verification results in a centralized database.
   Reveal Solution Discussion Select an answer first