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Cisco 810-110 Exam Syllabus Topics:

Section	Weight	Objectives
AI for Code and Workflow Optimization		- AI-assisted software development 1. SDLC integration 2. Code generation and debugging - Automation workflows 1. API integration basics 2. Workflow orchestration concepts
AI for Data Research and Analysis		- Data exploration and transformation 1. Insight generation and validation 2. AI-assisted data cleaning
Generative AI Models	20%	- Model fundamentals and use cases 1. Use cases: summarization, code generation, content creation 2. LLMs and diffusion models overview - Context and retrieval systems 1. RAG, embeddings, vector databases 2. Context windows and token limits - Model hosting and architecture 1. Cloud vs local deployment trade-offs 2. Latency, cost, privacy considerations
Prompt Engineering	15%	- Prompt design principles 1. Roles, instructions, constraints - Prompting techniques 1. Few-shot prompting 2. Chained and iterative prompting - Security and robustness 1. Prompt injection risks 2. Mitigation and defensive prompting
Agentic AI Systems		- Agent architecture 1. Autonomous agents and orchestration 2. Multi-step reasoning workflows
Ethics and Security	15%	- Data privacy and governance 1. Secure AI data handling - Responsible AI principles 1. Bias mitigation 2. Fairness, transparency, accountability - AI security threats 1. Misinformation and hallucinations 2. AI-specific attack surfaces

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Free PDF Quiz 2026 Useful 810-110: Cisco AI Technical Practitioner Official Practice Test

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Cisco AI Technical Practitioner Sample Questions (Q72-Q77):

NEW QUESTION # 72
Which Cisco technology is commonly associated with network observability and telemetry?

A. RIP v1
B. VLAN Trunking Protocol only
C. NetFlow
D. Spanning Tree Protocol

Answer: C

Explanation:
NetFlow provides visibility into traffic flows and is widely used for monitoring, analytics, and AI- driven operations.

NEW QUESTION # 73
What is hallucination in generative AI?

A. Database replication
B. Network congestion
C. AI generating incorrect or fabricated information
D. GPU overheating

Answer: C

Explanation:
Hallucination occurs when an AI confidently produces false or misleading outputs.

NEW QUESTION # 74
Which concept helps reduce overfitting in machine learning?

A. Disabling validation
B. Increasing random noise only
C. Regularization
D. Ignoring datasets

Answer: C

Explanation:
Regularization techniques help models generalize better and avoid memorizing training data.

NEW QUESTION # 75
A team uses AI to scaffold a new microservice. What does this process involve?

A. testing the final production code
B. creating automated deployment scripts
C. removing redundant logic
D. generating the initial structure

Answer: D

Explanation:
Scaffolding uses AI to generate the initial project structure, boilerplate files, configuration, and basic code layout so the team can start development faster.

NEW QUESTION # 76
Which role does AI play in assisting with the refactoring of software code?

A. integrating a new API
B. reducing manual code documentation
C. identifying flaws and improving design
D. creating a new database schema

Answer: C

Explanation:
AI-assisted refactoring helps analyze existing code to identify design flaws, simplify structure, improve readability, and maintain behavior while making the code easier to maintain.

NEW QUESTION # 77
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