Artificial Intelligence Essentials (AIE) Practice Questions
Prepare for 112-59 with more than an answer.
- Level
- Foundational
- Valid for
- 3 years
Domains covered on the exam 5
- Introduction to Artificial Intelligence20%
- Everyday AI Tools and Use Cases20%
- Building Blocks of AI24%
- Prompt Crafting for Effective AI Interactions20%
- AI Ethics and Responsible AI16%
- 1
A data scientist is preparing a dataset for a loan approval model. They discover the dataset contains 95% 'Approved' loans and only 5% 'Rejected' loans. If they train the model on this data without adjustment, what is the most likely outcome?
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Correct answer: B
This is an example of imbalanced data. The model can achieve 95% accuracy simply by approving every loan, failing to learn the critical patterns of the minority class (rejected loans).
- 2
Which machine learning approach involves an agent learning to make decisions by performing actions in an environment and receiving rewards or penalties?
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Correct answer: A
Reinforcement Learning (RL) is based on the reward/penalty mechanism. Unlike supervised learning (labeled data) or unsupervised learning (finding patterns), RL is about an agent learning a policy to maximize cumulative rewards.
- 3
When training a model to recognize spam emails, you provide the system with thousands of emails explicitly labeled as 'Spam' or 'Not Spam.' What type of machine learning is this?
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Correct answer: B
Supervised learning uses labeled datasets where the input (email) and correct output (label: spam/not spam) are provided during training to teach the model.
- 4
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?
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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.
- 5
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?
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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.
- 6
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?
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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.
