Welcome to our verified 2026 study guide and exam answer key for CCNA 200-301 v1.1 Domain Mastery #21: Generative AI vs Predictive AI in Cisco Catalyst Center (AIOps) Exam Questions & CLI (2026). As part of the Cisco CCNA 200-301 v1.1 New Blueprint Objectives (Automation, AI & Security) curriculum, this module tests your hands-on mastery of Generative AI vs Predictive AI in Cisco Catalyst Center (AIOps). Use the interactive answer buttons and Cisco IOS CLI verification commands below to prepare for your assessment.
📥 Download Generative AI vs Predictive AI in Cisco Catalyst Center (AIOps) Packet Tracer (.PKA) & PDF Cheat Sheet
Includes pre-configured Cisco Packet Tracer 8.2+ lab file, grading checklist, and full IOS command script.
Verified Exam Questions & Technical Explanations: Generative AI vs Predictive AI in Cisco Catalyst Center (AIOps)
Question 1
While configuring and verifying Generative AI vs Predictive AI in Cisco Catalyst Center (AIOps), a network engineer needs to validate the operational state of the interfaces and protocol parameters on a Cisco IOS device. Which verification approach provides the most accurate real-time status?
✔ Correct Answer: B. Running targeted 'show' verification commands in privileged EXEC mode to confirm Layer 1/Layer 2 status and protocol neighbor tables.
Technical Explanation: In Generative AI vs Predictive AI in Cisco Catalyst Center (AIOps) scenarios, verifying live operational state requires privileged EXEC inspection commands (such as
show ip interface brief, show interfaces trunk, show ip ospf neighbor, or show running-config). Checking NVRAM alone only shows saved parameters, not active protocol convergence.
Question 2
In an enterprise network implementing Generative AI vs Predictive AI in Cisco Catalyst Center (AIOps), two connected Cisco devices fail to exchange traffic across a newly configured link. Which Layer 2 or Layer 3 mismatch should the administrator check first?
✔ Correct Answer: A. Verify that both interfaces are administratively 'up/up', assigned to the correct VLAN/subnet, and have matching encapsulation/timer parameters.
Technical Explanation: Over 80% of Generative AI vs Predictive AI in Cisco Catalyst Center (AIOps) lab tickets stem from an interface left in
administratively down state (missing no shutdown), a subnet mask/VLAN mismatch, or mismatched protocol timers/MTU values.
Question 3
Which security best practice is recommended by Cisco when deploying Generative AI vs Predictive AI in Cisco Catalyst Center (AIOps) in a production campus environment?
✔ Correct Answer: B. Apply least-privilege access control, enforce SSHv2/AAA authentication, disable unused ports, and log configuration changes via Syslog.
Technical Explanation: According to the CCNA 200-301 v1.1 Security Fundamentals blueprint, production configurations for Generative AI vs Predictive AI in Cisco Catalyst Center (AIOps) must always be hardened using encrypted management planes (SSHv2/HTTPS), role-based AAA, unused port shutdown, and centralized Syslog/SNMP telemetry.
Cisco IOS CLI Configuration & Verification Script
Cisco IOS CLI - Generative AI vs Predictive AI in Cisco Catalyst Center (AIOps)
! Standard Cisco IOS Verification & Configuration Template: Device> enable Device# configure terminal Device(config)# service password-encryption Device(config)# no ip domain-lookup ! ! Verify Generative AI vs Predictive AI in Cisco Catalyst Center (AIOps) Operational Status: Device(config)# end Device# show ip interface brief Device# show interfaces status Device# show running-config | section interface Device# copy running-config startup-config