1D0-181 Sample Questions & Answers
AI fundamentals, reasoning and social impact dominate the weighting, alongside machine-learning paradigms, generative-AI and search algorithms, statistical inference, data processing and feature engineering, and privacy or ethics considerations.
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- Question 1Advanced
Ideas of AI · AI Fundamentals
You are consulting for a logistics company that wants to optimize its delivery routes. The environment is partially observable, stochastic, and sequential. You propose an agent design that evaluates the desirability of different states to maximize a performance measure (e.g., minimizing fuel cost and time). Which agent type is best suited for this complex optimization task?
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Correct answer: A
A Utility-Based Agent is required when goals are not enough (e.g., just 'delivered') but the quality of the outcome matters (e.g., 'delivered quickly and cheaply'). It uses a utility function to map states to real numbers representing the degree of happiness or efficiency.
- Question 2Beginner
Ideas of AI · AI Fundamentals
During a lecture on the history of AI, a professor discusses the 'Turing Test' proposed in 1950. What is the primary capability this test was designed to evaluate?
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Correct answer: C
The Turing Test, originally called the Imitation Game, tests whether a machine can generate text-based responses that a human evaluator cannot distinguish from those of a human.
- Question 3Intermediate
Ideas of AI · Reasoning
A manufacturing plant uses a legacy control system for its heating units. The system operates on vague linguistic variables like 'Warm', 'Hot', and 'Very Hot' rather than precise temperature values, allowing for smooth transitions between states. Which logic system is this control mechanism based on?
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Correct answer: C
Fuzzy Logic deals with reasoning that is approximate rather than fixed and exact. It uses degrees of truth (0 to 1) and linguistic variables, making it ideal for control systems handling concepts like 'Warm' or 'Hot'.
- Question 4Intermediate
Ideas of AI · Reasoning
A developer is building a knowledge-based system to model family relationships. They need to express rules such as 'For all x and y, if x is the parent of y, then x is an ancestor of y'. Which logic system provides the necessary quantifiers (like 'For all' or 'There exists') to express these relationships efficiently?
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Correct answer: B
First-Order Logic (Predicate Logic) extends propositional logic by including quantifiers (Universal 'For all', Existential 'There exists'), variables, and predicates, allowing for the expression of relationships between objects.
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