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Question 301 of 1,052
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CCNA Practice Question: Which TWO statements accurately describe the role…
This 200-301 practice question tests your understanding of 200-301 exam topics. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
Which TWO statements accurately describe the role of agents and tool-calling in a closed-loop remediation system for network automation?
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
✓
An agent in network automation is a software entity that observes the network, makes decisions, and executes actions to achieve a goal.
Agentic AI in network automation relies on agents that perceive the network state and take actions. Tool-calling enables agents to execute specific network operations, and closed-loop remediation uses this to automatically correct issues without human intervention.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
An agent in network automation is a software entity that observes the network, makes decisions, and executes actions to achieve a goal.
Why this is correct
This is the core definition of an agent in AI-driven automation.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
Tool-calling refers to the agent using external functions or APIs (e.g., to modify a device configuration) as part of its decision-making process.
Why this is correct
Tool-calling allows the agent to interface with network devices or management systems to perform specific tasks.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
In closed-loop remediation, the agent only monitors the network and generates alerts for human operators to act upon.
Why it's wrong here
Closed-loop remediation automates the corrective action, not just alerting.
- ✗
Tool-calling is limited to read-only operations to prevent accidental network changes.
Why it's wrong here
Tool-calling includes both read and write operations to enable remediation.
- ✗
An agent must be deployed on every network device to perform closed-loop remediation.
Why it's wrong here
Agents can be centralized or distributed; they do not need to reside on every device.
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.
✓An agent in network automation is a software entity that observes the network, makes decisions, and executes actions to achieve a goal.Correct answer▾
Why this is correct
This is the core definition of an agent in AI-driven automation.
✗In closed-loop remediation, the agent only monitors the network and generates alerts for human operators to act upon.Wrong answer — click to see why▾
Why this is wrong here
This describes a passive monitoring system, not an active closed-loop remediation.
✗Tool-calling is limited to read-only operations to prevent accidental network changes.Wrong answer — click to see why▾
Why this is wrong here
The purpose of tool-calling in remediation is to make changes, so it must include write operations.
✗An agent must be deployed on every network device to perform closed-loop remediation.Wrong answer — click to see why▾
Why this is wrong here
This is a common misconception; agents often run on a controller or in the cloud.
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?”
Common exam traps
Common exam trap: answer the scenario, not the keyword
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Detailed technical explanation
How to think about this question
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
KKey Concepts to Remember
- Read the scenario before looking for a memorised answer.
- Find the constraint that changes the correct option.
- Eliminate answers that are true in general but not in this case.
- Use explanations to understand the rule behind the answer.
TExam Day Tips
- Underline the problem statement mentally.
- Watch for words such as best, first, most likely and least administrative effort.
- Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A practitioner preparing for the 200-301 exam encounters this exact type of scenario on the job. The correct answer here is not the most general option — it is the best answer for the specific constraint described. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Real exam questions reward reading the full scenario before eliminating options, because the constraint defines which answer fits.
What to study next
Got this wrong? Here's your next step.
Identify which 200-301 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
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FAQ
Questions learners often ask
What does this 200-301 question test?
Read the scenario before looking for a memorised answer.
What is the correct answer to this question?
The correct answer is: An agent in network automation is a software entity that observes the network, makes decisions, and executes actions to achieve a goal. — Agentic AI in network automation relies on agents that perceive the network state and take actions. Tool-calling enables agents to execute specific network operations, and closed-loop remediation uses this to automatically correct issues without human intervention.
What should I do if I get this 200-301 question wrong?
Identify which 200-301 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
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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.