Network Associate 200-301, IT certifications, 10%

Domain 5: AI, and Network Operations and Management

The newest domain covers how networks are run day to day and where AI fits in: what agentic AI can do in network operations, writing effective prompts for generative AI tools, and judging what an assistant recommends. It also compares management models, from device by device to infrastructure as code, and covers SNMP, Ansible, and syslog.

Position: 5 of 5 domains
Published weighting: 10% in the official framework
Topics covered: 4 topics in this guide

What is covered

Topics inside this domain.

These topics describe the scope students most often review for this part of Network Associate 200-301. Treat them as a study checklist rather than an exhaustive list of what a single exam form can sample.

Agentic AI in network operations: What AI agents can monitor, propose, or change, and how to evaluate an assistant's output before acting on it.
Prompting generative AI tools: Choosing a prompt's instructions, persona, and output format, and keeping sensitive data out of it.
Management models: Device-based, cloud-based, controller-based, and automation-based management, and infrastructure as code.
SNMP, syslog, and Ansible: What SNMP is for, how to read a syslog message's severity and facility, and running configuration tasks with Ansible.

Study tips

How to practice AI and Network Operations.

Section-specific guidance that follows from how this material is usually tested.

Memorize the eight syslog severity levels in order; questions often hinge on them.
Run a simple Ansible playbook against lab devices so the workflow is familiar.
Practice reviewing an AI tool's suggested configuration for errors before you would apply it.

Where this fits

Domain 5: AI, and Network Operations and Management is 5 of 5 domains in the Network Associate 200-301 guide, and it carries a published weighting of 10% in the official framework. Use the full guide to balance it against everything else you have to review.

Back to the Network Associate 200-301 guide Official exam information

Sample AI and Network Operations questions

Practice questions, not yet expert-reviewed

Original practice questions written to the published framework for this section. No expert has reviewed them, and they are not taken from any official exam. Try each one before you open the answer.

Question 1Intermediate
An AI agent that monitors the network detects a fault and proposes a configuration change to fix it. What should the engineer do before the change reaches production devices?
1. AApply it at once, since the agent found the fault
2. BApprove it if the agent reports high confidence
3. CLet the agent apply it and check the logs later
4. DReview and test it before approving it
Show answer
Answer: D. Review and test it before approving it
AI agents can misread symptoms or propose changes with side effects, so a person should check the change against the documented design, test it in a lab or simulation where possible, and approve it through the normal change process. A confidence score from the agent is not evidence that the change is correct.
Key insight: Treat an AI agent's change like any other proposed change: verify before you approve.
Question 2Foundational
Before pasting a router's running configuration into a public generative AI tool to get troubleshooting help, what should an engineer do first?
1. ARemove passwords, keys, and other secrets
2. BPaste it unchanged so the answer is accurate
3. CAdd the public IP addresses for more context
4. DAsk the tool to delete the data afterward
Show answer
Answer: A. Remove passwords, keys, and other secrets
Configurations hold secrets such as password hashes, SNMP community strings, and pre-shared keys, and data pasted into a public tool may be stored or used outside your control. Remove or mask them first; asking the tool to forget the data afterward guarantees nothing.
Key insight: Sanitize configurations before they go into any AI prompt.
Question 3Foundational
What is the practice of defining network configuration in version-controlled text files and applying it with automation tools, instead of typing commands on each device?
1. AZero-touch provisioning
2. BOut-of-band management
3. CInfrastructure as code
4. DConfiguration drift
Show answer
Answer: C. Infrastructure as code
Infrastructure as code keeps the intended configuration in files that can be reviewed, versioned, and reapplied by tools such as Ansible, so every change is tracked and repeatable. Zero-touch provisioning automates a new device's first boot, such as loading an initial configuration, but is not by itself a way to manage ongoing changes.
Key insight: With infrastructure as code, the files in version control are the source of truth.
Question 4Intermediate
True or false: Ansible must install an agent on each network device before it can configure that device.
1. ATrue
2. BFalse
Show answer
Answer: B. False
Ansible is agentless: a control node pushes the tasks in a playbook to each device over an existing connection, usually SSH for network devices, so nothing extra is installed on them. That suits routers and switches, which often cannot host extra software.
Key insight: Ansible is agentless and pushes changes, usually over SSH.
Question 5Advanced
A router is configured with logging trap warnings, which is severity level 4. Which syslog severity levels does it send to its syslog server?
1. ALevels 0 through 4
2. BLevel 4 only
3. CLevels 4 through 7
4. DAll levels except debugging
Show answer
Answer: A. Levels 0 through 4
A logging threshold sends the chosen level and every more severe level, and lower numbers are more severe: 0 emergency, 1 alert, 2 critical, 3 error, 4 warning, 5 notification, 6 informational, 7 debugging. So level 4 sends 0 through 4, while notifications, informational messages, and debugging output stay off the server.
Key insight: A syslog threshold includes the level you set and everything more severe.

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Domain 5: AI, and Network Operations and Management