Assessment Quiz — Class 4.2 | Legal Engineering 101

20 Questions

20-Question Assessment: Class 4.2 Data Primitives 101

1. What role do string data primitives play in computational legal contracts?

A) Encoding natural language legal specs, addresses, and IPFS text hashes for contract verification. B) Executing floating-point multiplication in virtual machines. C) Printing paper receipts on laser printers.

2. Why are fixed-point integers used for financial calculations instead of floating-point numbers?

A) To prevent non-deterministic rounding errors across different CPU hardware architectures that break consensus. B) Because integers use more computer memory than floating-point numbers. C) Because integers are illegal under Delaware statutory law.

3. How do boolean primitives evaluate legal condition triggers in smart contracts?

A) By resolving true/false condition evaluations that trigger or revert execution state transitions. B) By calculating random probability distributions. C) By converting numbers into spoken audio.

4. Why do floating-point unit (FPU) operations and scientific notation break WASM / Rust Stylus determinism?

A) Because floating-point hardware implementations vary across CPU architectures, introducing non-deterministic state rounding that breaks consensus validation. B) Because scientific notation is prohibited in smart contract compilers. C) Because Rust Stylus only accepts Roman numerals.

5. How do smart legal wrappers bind off-chain corporate entities to on-chain data primitives?

A) By embedding explicit choice-of-law clauses and operating agreement IP hashes into contract bytecode. B) By mailing physical corporate certificates to Delaware state troopers. C) By deleting all off-chain corporate records.

Assessment Quiz — Class 4.2: Data Primitives 101