Artificial Intelligence Essentials (AIE) Free Sample Questions

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Covers artificial intelligence fundamentals, everyday AI tools and workplace use cases, the data and models behind AI systems, prompt engineering techniques, and responsible AI practices.

12 free sample questions180 in the full practice test

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112-59 Sample Questions

  1. Question 1

    Beginner

    Introduction to Artificial Intelligence · Similarities, Differences, and Collaboration between Human and Artificial Intelligence

    A financial services firm is implementing an AI system to assist loan officers in approving applications. The system analyzes historical data to suggest risk levels, but the final approval decision remains with the human officer who reviews the AI's rationale and considers unique applicant circumstances. Which term best describes this collaboration model?

    Answer and explanation

    Correct answer: A

    Augmented Intelligence refers to a partnership model where AI enhances human cognitive performance, including learning, decision-making, and new experiences, rather than replacing the human. In this scenario, the human stays in the loop for the final decision.

  2. Question 2

    Intermediate

    Introduction to Artificial Intelligence · Milestones and Developments in the Evolution of AI

    While reviewing the history of Artificial Intelligence for a corporate presentation, you need to explain the periods known as 'AI Winters.' Which of the following best characterizes the primary cause of these historical periods?

    Answer and explanation

    Correct answer: C

    AI Winters were periods (notably in the 1970s and late 1980s) characterized by cuts in research funding and a decline in interest after the technology failed to live up to the inflated hype and promises made by researchers and media.

  3. Question 3

    Beginner

    Introduction to Artificial Intelligence · Advancements and Future Directions Shaping AI Technologies

    A logistics company uses an AI system that excels at optimizing delivery routes based on traffic, weather, and package volume. However, the same system cannot write emails or play chess. How is this type of AI classified?

    Answer and explanation

    Correct answer: A

    Artificial Narrow Intelligence (ANI), or Weak AI, is designed to perform a specific task (like route optimization) proficiently but lacks the broad cognitive abilities to perform tasks outside its defined domain.

  4. Question 4

    IntermediateMultiple answers

    Introduction to Artificial Intelligence · Data, Algorithms, and Models form the Foundation of AI Systems

    Which of the following components are fundamentally required to build a functioning AI system? (Select THREE)

    Answer and explanation

    Correct answers: C, D, E

    Data is the raw material the system learns from. Algorithms are the mathematical instructions for processing that data. The Model is the output of training the algorithm on the data.

  5. Question 5

    Beginner

    Introduction to Artificial Intelligence · Advancements and Future Directions Shaping AI Technologies

    True or False: A multimodal AI system is restricted to processing only a single type of input data, such as text, to generate outputs.

    Answer and explanation

    Correct answer: B

    False. Multimodal AI systems are specifically designed to process and understand multiple types of input simultaneously, such as text, images, audio, and video (e.g., Gemini or GPT-4o).

  6. Question 6

    Intermediate

    Everyday AI Tools and Use Cases · AI Tools in the Workplace

    A project manager wants to automate the creation of meeting summaries and action items from recorded project syncs. Which tool would be most appropriate for integrating this workflow across their existing calendar and project management apps?

    Answer and explanation

    Correct answer: A

    Zapier AI is designed specifically for workflow automation and integration between different applications (like Zoom, Google Calendar, and Asana). While the others generate content, Zapier handles the cross-app automation logic.

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