Extreme Networks Agentic AI Engineer Interview Questions

The questions to prepare for a Extreme Networks Agentic AI Engineer interview. Questions from real interview reports rank first. Updated weekly.

Enterprise-Grade Agent Scaling

Hard

Tests your ability to design for reliability, fault tolerance, and operational robustness at enterprise scale.

scalability

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VLAN Troubleshooting Agent

Hard

Tests your ability to design an agent workflow for concrete networking troubleshooting tasks.

vlancli commandsagent design

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Approach LLM Fine-Tuning for Tasks

Medium

Explain a practical approach to fine-tuning an LLM for a specific task, including data, evaluation, and hallucination risks.

Prompt EngineeringLLM EvaluationFine-Tuning

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Hallucination Risk Evaluation

Medium

Tests your evaluation methods for hallucination likelihood and impact in production LLM systems.

HallucinationLLM Evaluation

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Agent Memory and Observability Data

Medium

Tests your data pipeline and storage design for memory, auditing, and observability of agent behavior.

storage persistenceobservabilitydata collection

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Python and Go Patterns

Easy

Tests your practical engineering fluency with Python or Go for building reliable cloud-native services.

gopythoncloud-native

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