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Generative AI Foundations GENERATIVE-AI-FOUNDATIONS

100 real Pearson / Certiport GENERATIVE-AI-FOUNDATIONS questions with answers checked by certified engineers. Start free, upgrade when you are ready.

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Questions
100
Exam code
GENERATIVE-AI-FOUNDATIONS
Last updated
Oct 14, 2026
Language
English
Certification
Generative AI Foundations
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GENERATIVE-AI-FOUNDATIONS sample questions

2 questions from the GENERATIVE-AI-FOUNDATIONS practice set, with the answer and explanation.

  1. Question 1
    What does the term generative AI most accurately describe?
    • A.
      Software that only retrieves and ranks existing web pages for a query
    • B.
      Rule-based systems that follow fixed if-then instructions written by engineers
    • C.
      Models that create new content such as text or images from patterns learned in data
    • D.
      Hardware accelerators built to speed up database queries and large reporting jobs in data centers
    Show answer

    Correct answer:

    • C.
      Models that create new content such as text or images from patterns learned in data

    Explanation

    Generative AI refers to models that create new content by learning patterns from training data. Search ranking and rule-based systems do not produce novel content, and hardware accelerators are infrastructure rather than a kind of AI output.
  2. Question 2
    Training data quality has little effect on a generative model's outputs once training is complete.
    • A.
      True
    • B.
      False
    Show answer

    Correct answer:

    • B.
      False

    Explanation

    Training data shapes what the model learns, including its errors and biases, so data quality strongly affects later outputs. The model cannot correct flaws in its data after training.
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GENERATIVE-AI-FOUNDATIONS is the Generative AI Foundations exam from Pearson / Certiport.

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The full GENERATIVE-AI-FOUNDATIONS practice set has 100 questions with answers.

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