🧠 Module 6 Quiz: Understanding AI Agents vs. Chatbots
Question 1
What is the primary operational difference between a standard chatbot and an AI agent?
- A) Chatbots can write code, while AI agents can only process human language.
- B) Chatbots require constant human input after every response, while AI agents work autonomously toward a final goal.
- C) Chatbots use Large Language Models as brains, while AI agents do not use LLMs at all.
- D) Chatbots run continuously in the background, while AI agents only open when prompted.
Correct Answer: B
Explanation: According to the text, a chatbot answers a prompt, stops, and waits for the next human input. In contrast, an AI agent is given a final destination and runs continuously—building its own checklist and executing tasks—until the job is completed.
Explanation: According to the text, a chatbot answers a prompt, stops, and waits for the next human input. In contrast, an AI agent is given a final destination and runs continuously—building its own checklist and executing tasks—until the job is completed.
Question 2 (True / False)
Statement: Based on the AI Agent Flow outlined in the module, an agent immediately stops working right after it executes a digital tool for the first time.
Correct Answer: False
Explanation: The AI Agent Flow shows that after an agent executes a tool, it explicitly moves to the “Agent Checks Work” phase. It will continue this cycle until the “Final Goal Met” condition is satisfied.
Explanation: The AI Agent Flow shows that after an agent executes a tool, it explicitly moves to the “Agent Checks Work” phase. It will continue this cycle until the “Final Goal Met” condition is satisfied.
Question 3 (Multiple Choice)
According to the module, which of the following is a real-world example of what a Research Agent can do?
- A) Wait for a user to type out step-by-step instructions before opening a web browser.
- B) Inspect a software repository, locate a bug, and write a code patch.
- C) Scrape dozens of web pages, compile data into a spreadsheet, and email a finished PDF report.
- D) Schedule an interview only after a human manager manually grades a screening test.
Correct Answer: C
Explanation: The text explicitly highlights that a Research Agent can scrape web pages, compile data into spreadsheets, update market numbers, and email a finished PDF report directly to the user. (Option B describes a Coding Agent).
Explanation: The text explicitly highlights that a Research Agent can scrape web pages, compile data into spreadsheets, update market numbers, and email a finished PDF report directly to the user. (Option B describes a Coding Agent).
Question 4 (True / False)
Statement: In the context of business workflows, an HR Agent can autonomously verify an applicant’s credentials against a database and schedule an interview if they pass the screening criteria.
Correct Answer: True
Explanation: The module highlights this exact workflow as a business use case, explaining that an HR agent can autonomously receive an application, verify credentials, administer and evaluate a test, and book the interview without human intervention.
Explanation: The module highlights this exact workflow as a business use case, explaining that an HR agent can autonomously receive an application, verify credentials, administer and evaluate a test, and book the interview without human intervention.
Question 5 (Multiple Choice)
What major shift does the “Future Trends” section predict for how individuals will interact with AI technology?
- A) A heavier reliance on traditional text boxes and manual chat inputs.
- B) A complete elimination of automated scheduling and financial tracking.
- C) Moving away from simple text boxes toward invisible ecosystems of personalized background agents.
- D) Transitioning all digital tasks back to manual, paper-based tracking systems.
Correct Answer: C
Explanation: The module states that we are moving away from simple text boxes toward invisible background automation, where individuals will manage ecosystems of personalized agents to handle schedules, portfolios, and purchases autonomously.
Explanation: The module states that we are moving away from simple text boxes toward invisible background automation, where individuals will manage ecosystems of personalized agents to handle schedules, portfolios, and purchases autonomously.