Building and Scaling dApps with AI and Smart Contracts BBLC Practice Questions (Page 2)

Questions 6–10

1. 6foundation · easy

   Which of the following is an example of a dApp successfully using AI for data analysis to improve its service?

   • AA dApp using AI to increase the block reward for miners
   • BA dApp using AI to change the consensus algorithm from proof-of-work to proof-of-stake
   • CA decentralized finance (DeFi) platform using AI to analyze market trends and provide risk assessments to users
   • DA dApp using AI to store encrypted user data on-chain
   Reveal Solution Discussion Select an answer first
2. 7expert · hard

   An automated trading dApp uses an AI model to decide when to execute trades. The smart contract executes the trade when the AI sends a signal. The team is concerned about the AI model being compromised and sending malicious signals. What is the best way to protect the smart contract from malicious AI signals?

   • AAllow the AI model to directly control the private key of the trading wallet.
   • BRely on the AI model's reputation and trust it completely.
   • CEncrypt the AI signal so that only the smart contract can decrypt it.
   • DUse a multi-signature mechanism where the AI signal must be verified by multiple independent AI models.
   Reveal Solution Discussion Select an answer first
4. 8foundation · easy

   When integrating AI with smart contracts, what is a key privacy consideration?

   • AAI models may process sensitive user data off-chain, which could be exposed if not properly secured
   • BAI models are always transparent and auditable on-chain
   • CSmart contracts automatically encrypt all data they process
   • DPrivacy is not a concern because blockchain data is anonymous
   Reveal Solution Discussion Select an answer first
5. 9foundation · easy

   In a dApp, what is a typical use of AI-driven data processing?

   • AStoring all transaction data in the smart contract's storage for later analysis
   • BUsing AI to write smart contract code automatically
   • CAnalyzing on-chain transaction data to detect fraudulent patterns
   • DUsing AI to mine new blocks on the blockchain
   Reveal Solution Discussion Select an answer first
6. 10application · medium

   A decentralized lending platform uses AI to assess creditworthiness and automatically approve or reject loan applications. The platform is experiencing high gas costs because each application triggers multiple on-chain AI calls. What is the most effective way to reduce gas costs while maintaining the AI's decision-making?

   • AMove the AI model on-chain to avoid off-chain communication costs.
   • BBatch multiple loan applications' AI assessments off-chain and submit a single aggregated result to the smart contract for approval.
   • CUse a centralized server to approve loans and only record the final decision on-chain.
   • DIncrease the gas price for each transaction to ensure faster processing.
   Reveal Solution Discussion Select an answer first