6.2 Explain AI Agent Design Principles, Autonomous Capabilities, and Orchestration AI-TECHNICAL-PRACTITIONER Practice Questions (Page 4)

Questions 16–18

1. 16foundation · easy

   Which element of an AI agent's design defines the measurable outcome the agent is expected to achieve?

   • AAction execution
   • BFeedback loop
   • CGoal specification
   • DEnvironment interaction
   Reveal Solution Discussion Select an answer first
2. 17application · medium

   A retail company deploys an AI agent to manage online orders. The agent's goal is to 'maximize customer satisfaction.' After deployment, the agent begins issuing refunds for any order with a slight delay, which reduces revenue. What is the most likely design flaw in the agent's goal specification?

   • AThe agent lacks a feedback loop to learn from past refund decisions
   • BThe agent's perception module is faulty and cannot accurately detect order delays
   • CThe goal is too vague and lacks measurable success criteria or constraints, allowing the agent to optimize for one interpretation (refunds) at the expense of others (revenue)
   • DThe orchestration system is incorrectly delegating refund decisions to the agent without human oversight
   Reveal Solution Discussion Select an answer first
3. 18application · medium

   A logistics company uses an AI agent to manage a fleet of delivery drones. The agent must navigate each drone to its destination, avoid obstacles, and return to base when battery is low. The company wants the agent to handle all of this without human intervention. Which autonomous capability is most essential for the agent to safely return drones to base?

   • APerception to continuously monitor battery levels and detect obstacles in the drone's path
   • BOrchestration to coordinate the movements of all drones in the fleet
   • CAction execution to physically control the drone's flight
   • DDecision-making to choose the optimal delivery route for each drone
   Reveal Solution Discussion Select an answer first