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5.0 AI, Network Operations and Management

AI, Terraform & API Authentication Practice Questions

Updated for CCNA v2.0

Generative and predictive AI, machine learning in operations, Terraform, and API authentication.

Author-reviewed by LabFabric · 8 September 2026 · Report a content issue

One solved question, so you can see how these are marked

A network tool drafts an explanation of a switch incident from logs. Which capability is this?

Generative AI

Generative AI creates new content such as an incident summary. A fluent explanation still needs validation against the original evidence.

Every question in the set below is marked like this. The answers stay hidden until you pick one.

Find related practice in the CCNA path
All 9 AI, Terraform & API Authentication questions in this set

Answers and explanations appear when you work through the set above.

  1. A model uses past interface utilisation to forecast next week's capacity demand. What is it doing?

    • Predictive AI
    • Generating a configuration template
    • Encrypting telemetry
    • Applying a static ACL

  2. An AI assistant proposes a routing change. What is the best next step before applying it?

    • Validate the recommendation against current state and test the change
    • Apply it because the explanation is confident
    • Remove the rollback plan to avoid conflicting actions
    • Assume the model has checked every device

  3. Which task is a useful application of machine learning to network operations?

    • Finding unusual traffic patterns relative to a learned baseline
    • Guaranteeing every anomaly is an attack
    • Replacing device authentication
    • Making packet forwarding independent of routing tables

  4. What does a Terraform configuration primarily describe?

    • The desired infrastructure resources and their properties
    • A sequence of interactive terminal keystrokes
    • Only the currently running device configuration
    • A packet capture filter

  5. What does terraform plan help an operator inspect?

    • Proposed resource changes before applying them
    • Only previously completed changes
    • The encrypted contents of every secret
    • A guarantee that applications will remain available

  6. Which description best distinguishes Ansible and Terraform at a foundational level?

    • Ansible commonly runs automation tasks in playbooks; Terraform manages declared resource lifecycles
    • Ansible can only manage Linux; Terraform can only manage routers
    • Terraform requires manual CLI access for every resource
    • Ansible cannot use APIs

  7. A script receives HTTP 401 from an API. What should you check first?

    • Whether valid authentication credentials were supplied
    • Whether a successful response was cached
    • Whether the API requires a different subnet mask
    • Whether the response body is an array

  8. Why should a bearer token be kept secret?

    • Anyone possessing it may use the access it grants
    • It is merely a public resource identifier
    • It replaces TLS encryption
    • It can only be used from the machine that created it

  9. Why can an anomaly model trained on one network perform poorly on another?

    • Traffic patterns and operating conditions can differ
    • Machine learning models cannot process numeric data
    • Changing a hostname always invalidates encryption
    • Anomaly detection requires identical MAC addresses