Building and Scaling dApps with AI and Smart Contracts BBLC Practice Questions (Page 7)

Questions 31–35

1. 31application · medium

   A logistics dApp tracks shipments and uses AI to predict delivery delays. The predictions are used to automatically trigger penalty payments via smart contracts. The team notices that the AI model sometimes makes inaccurate predictions, causing incorrect penalties. What is the best way to handle this?

   • AMake the smart contract always execute the penalty regardless of AI confidence.
   • BUse a more complex AI model that is guaranteed to be 100% accurate.
   • CRemove the AI model and rely on manual monitoring of shipments.
   • DUse a confidence threshold: only trigger the smart contract when the AI model's confidence exceeds a certain level, and route low-confidence predictions to human review.
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2. 32expert · hard

   An automated trading dApp uses an AI model to decide when to execute trades on a DEX. The model runs off-chain and sends trade orders to a smart contract. The team is concerned about the AI model being manipulated by a malicious actor who can observe the mempool. What is the most effective countermeasure?

   • AUse a commit-reveal scheme where the AI model submits a hash of the trade order, and the actual order is revealed later.
   • BHave the AI model execute trades directly without going through a smart contract.
   • CIncrease the gas price of the trade transaction to outbid any front-runners.
   • DUse a private blockchain so that the mempool is not visible to the public.
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4. 33foundation · easy

   What is a key characteristic of a hybrid architecture for a dApp that combines off-chain AI processing with on-chain smart contracts?

   • AThe AI model is stored on-chain and executed by miners
   • BAll computation, including AI, is performed on-chain to ensure transparency
   • CThe smart contract directly accesses the AI model's internal state
   • DAI processing occurs off-chain, and only the results or proofs are recorded on-chain
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5. 34application · medium

   A social media dApp is experiencing slow response times because every post triggers an on-chain AI moderation check. The team wants to maintain decentralization while improving scalability. Which solution best addresses the bottleneck?

   • AIncrease the block gas limit so that more AI checks can be processed per block.
   • BMove the AI moderation to an off-chain service that returns a verdict, and only record the verdict on-chain when a dispute is raised.
   • CUse a centralized moderation service and trust it without any on-chain record.
   • DHave each user run the AI model locally and submit the result to the smart contract for verification.
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6. 35application · medium

   A decentralized energy trading dApp allows users to buy and sell excess solar energy. The team wants to use AI to predict energy demand and optimize pricing. The AI model needs to access historical trading data from the blockchain and weather forecasts from external sources. What is the best way to integrate this?

   • AUse an indexer for historical trading data and an oracle for weather forecasts, then run the AI model off-chain.
   • BUse a centralized server to collect all data and update the smart contract with the AI's pricing decisions.
   • CHave users manually input weather data into the smart contract.
   • DStore weather forecasts on-chain and have the AI model read them directly.
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