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CIW Artificial Intelligence Associate Free Sample Questions

Description

Covers AI fundamentals and reasoning, data processing and feature engineering, machine learning and generative AI algorithms, privacy and ethics, and model training, evaluation and statistics.

8 free sample questions77 in the full practice test

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1D0-181 Sample Questions

  1. Question 1

    Beginner

    Ideas of AI · AI Fundamentals

    A financial institution is developing a fraud detection system. The Chief Data Scientist explains to the stakeholders that the system will utilize a subset of Artificial Intelligence that involves algorithms capable of learning from historical transaction data to identify patterns without being explicitly programmed for every specific rule. Which term best describes this specific technology?

    Answer and explanation

    Correct answer: D

    Machine Learning (ML) is the specific subset of AI defined by the ability of algorithms to learn patterns from data without explicit programming for every rule. While Deep Learning is a subset of ML, the description provided (learning from historical data without explicit programming) is the broad definition of Machine Learning.

  2. Question 2

    Intermediate

    Ideas of AI · AI Fundamentals

    A developer is designing an intelligent agent for an autonomous vacuum cleaner. The agent must perceive its location and the cleanliness of the floor (Dirty/Clean) and decide whether to Suck, Move Left, or Move Right. The agent does not need to maintain an internal state history or consider future consequences beyond the immediate action. Which type of agent architecture is most appropriate for this specific, limited scope?

    Answer and explanation

    Correct answer: A

    A Simple Reflex Agent selects actions based solely on the current percept (e.g., if Dirty then Suck), ignoring the rest of the percept history. This fits the requirement of not maintaining internal state or considering future consequences.

  3. Question 3

    Advanced

    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?

    Answer and explanation

    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.

  4. Question 4

    Beginner

    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?

    Answer and explanation

    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.

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