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CiscoAI Technical Practitioner

Domain 6Objective 2

6.2 Explain AI Agent Design Principles, Autonomous Capabilities, and Orchestration AI-TECHNICAL-PRACTITIONER Practice Questions (Page 1)

Part of the Agentic AI domain, which accounts for 20% of the AI-TECHNICAL-PRACTITIONER exam. Cisco does not publish an official question count, but from its 60-minute exam (~25–40 total, ~5–8 in this domain), expect 1–2 from this objective — we provide 18 practice questions to prepare you well beyond it. (estimate)

18questions here
4free pages
3concepts
20%of the exam

Questions 1–5

  1. 1application · medium

    An e-commerce platform uses multiple AI agents: one for product recommendations, one for pricing, and one for inventory management. The pricing agent must consider inventory levels and current recommendations when setting prices. The inventory agent must know about pricing changes to update stock forecasts. What orchestration approach best supports these interdependencies?

    Select an answer first
  2. 2application · medium

    A hospital uses AI agents to manage patient care workflows. One agent schedules appointments, another orders lab tests, and a third updates patient records. When a patient's condition changes, the system must ensure that the lab test order is created before the appointment is rescheduled, and that the patient record is updated only after both are complete. What orchestration concept addresses these dependencies?

    Select an answer first
  3. 3application · medium

    A customer-service organization uses a primary AI agent that handles routine inquiries. When a customer asks a question the primary agent cannot answer confidently, it must transfer the conversation to a specialized agent that handles billing issues. What orchestration mechanism enables this handoff?

    Select an answer first
  4. 4expert · hard

    A financial trading firm uses an AI agent to execute trades. The agent must react to market changes in milliseconds. However, the firm's compliance team requires that a human can intervene and stop the agent if it behaves unexpectedly. The firm is considering two designs: (A) the agent operates fully autonomously and a human monitors its actions after the fact, or (B) the agent operates autonomously but a human can issue a 'stop' command that takes effect immediately. Which design better satisfies the compliance requirement?

    Select an answer first
  5. 5foundation · easy

    In multi-agent orchestration, what is task delegation?

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