112-59 Sample Questions & Answers
The data, algorithms, and models behind AI systems get the heaviest weighting, on top of how AI compares with human intelligence, everyday tools and workplace use cases, crafting effective prompts, and using AI responsibly.
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- Question 1IntermediateSelect 3
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)
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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.
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.
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.
- Question 2Beginner
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.
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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).
- Question 3Intermediate
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?
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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.
- Question 4Intermediate
Everyday AI Tools and Use Cases · AI in Manufacturing and Industrial Processes
In a modern manufacturing plant, sensors monitor the vibration and temperature of assembly line robots. An AI model analyzes this data to forecast component failures before they occur, allowing technicians to replace parts during scheduled downtime. What is this application of AI called?
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Correct answer: B
Predictive maintenance involves using data analysis tools and anomaly detection to determine the condition of in-service equipment in order to predict when maintenance should be performed, minimizing disruption.
- Question 5Advanced
Everyday AI Tools and Use Cases · AI in Cybersecurity
A university is deploying an AI-driven security system to protect its research network. The system establishes a baseline of normal user behavior and flags any deviation, such as a researcher downloading massive datasets at 3 AM from an unusual IP address. Which AI technique is primarily being used here?
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Correct answer: C
Anomaly detection (or behavioral analysis) focuses on identifying patterns that deviate from established norms. In cybersecurity, this is critical for spotting zero-day attacks or insider threats that don't match known malware signatures.
- Question 6Beginner
Everyday AI Tools and Use Cases · AI Tools in the Workplace
You are organizing a personal workspace and want an AI tool to help organize notes, summarize project documents, and generate content drafts directly within your wiki/database application. Which tool is best suited for this embedded use case?
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Correct answer: B
Notion AI is integrated directly into the Notion workspace, allowing for summarization, rewriting, and content generation within the context of existing notes and databases.
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