CCNA AI and Network Operations Practice Question
A network operations team is implementing an AI-driven automation system that uses an agentic AI agent to handle routine network issues. The agent is configured to detect high CPU utilization on a core router, then automatically execute a series of diagnostic commands and, if a specific pattern is found, trigger a configuration change to reduce load. After the change, the agent re-checks CPU utilization and, if still high, escalates the issue to a human engineer. Which of the following best describes the workflow being used?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
A closed-loop remediation workflow
The scenario describes a closed-loop remediation workflow, where the AI agent detects an issue, takes action, verifies the result, and escalates if the problem persists. Tool-calling refers to the agent's ability to invoke specific functions (e.g., diagnostic commands, configuration changes), but the overall process is a closed loop. AI agents are the autonomous entities, but the workflow is the key concept.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
A static automation script that runs on a schedule without feedback
Why it's wrong here
A static scheduled script runs predefined commands at intervals and blindly repeats them without inspecting whether the issue persists or was truly resolved. In contrast, the described workflow re-evaluates after the corrective action, verifies the operational state, and escalates when the action fails, making it reactive and state-aware rather than a simple cron-driven job.
- ✓
A closed-loop remediation workflow
Why this is correct
A closed-loop remediation workflow continuously monitors network telemetry, detects a deviation from policy, triggers the appropriate corrective action, verifies that the action restored the desired state, and escalates if it did not—all in one automated chain. This matches exactly the scenario: the agent's detect-act-verify-escalate pattern is the defining characteristic of a closed loop, differentiating it from passive alerting or blind scripting.
- ✗
A tool-calling mechanism for executing network commands
Why it's wrong here
A tool-calling mechanism is only the execution layer that invokes CLI commands or APIs; it lacks the diagnostic reasoning, outcome verification, and escalation logic that define the described workflow. The agent in the scenario does not merely run a command—it evaluates the resulting state and decides whether further action is needed, so tool-calling is just a subcomponent of the larger closed loop.
- ✗
An AI agent that uses reinforcement learning to optimize network performance
Why it's wrong here
Reinforcement learning requires the agent to learn a policy through trial-and-error interactions and a reward signal, continuously adjusting behavior over many episodes. The scenario instead uses immutable, pre-programmed detection and corrective actions with no adaptation or reward feedback; its verification stage is a fixed comparison of device state, not a learned optimization.
Option-by-option analysis
Why each answer is right or wrong
Understanding why wrong answers are wrong — and when they would be correct — is what separates a 750 score from a 900. The 200-301 exam frequently reuses these exact scenarios with slightly different constraints.
✓A closed-loop remediation workflowCorrect answer▾
Why this is correct
A closed-loop remediation workflow continuously monitors network telemetry, detects a deviation from policy, triggers the appropriate corrective action, verifies that the action restored the desired state, and escalates if it did not—all in one automated chain. This matches exactly the scenario: the agent's detect-act-verify-escalate pattern is the defining characteristic of a closed loop, differentiating it from passive alerting or blind scripting.
✗A static automation script that runs on a schedule without feedbackWrong answer — click to see why▾
Why this is wrong here
This describes a static automation script that runs on a schedule without feedback, but the scenario involves an agent that detects an issue, takes action, re-checks, and escalates if needed, which is adaptive and not static.
Why candidates choose this
Students might confuse any automated script with a closed-loop workflow, but the key difference is the lack of feedback and conditional re-evaluation in static scripts.
✗A tool-calling mechanism for executing network commandsWrong answer — click to see why▾
Why this is wrong here
Tool-calling is a component of the workflow (executing diagnostic commands and configuration changes), but the overall process includes detection, action, verification, and escalation, which is more than just calling tools.
Why candidates choose this
Students might focus on the agent executing commands and think 'tool-calling' is the main concept, overlooking the feedback loop that defines the workflow.
✗An AI agent that uses reinforcement learning to optimize network performanceWrong answer — click to see why▾
Why this is wrong here
Reinforcement learning involves continuous trial-and-error learning from rewards, but the scenario uses predefined diagnostics and actions, not learning from past outcomes to improve future decisions.
Why candidates choose this
Students might associate 'AI agent' with reinforcement learning, but the agent here follows a fixed set of rules and does not learn or optimize over time.
Analysis generated from the official 200-301blueprint and verified against question context. The “when correct” sections are what AI assistants cite when candidates ask “what’s the difference between these options?”
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Related to this question
Learn chapter
Agentic AI in Network Operations
Key term
Functions
A function is a reusable block of code that performs a specific task, taking inputs, processing them, and returning a result, helping to organize and automate IT workflows.
Key term
Router
A router is a networking device that connects different networks together and directs data traffic between them by choosing the best path for data to travel.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This 200-301 practice question is part of Courseiva's free Cisco certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the 200-301 exam.