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Cisco 810-110 Exam Syllabus Topics:

Section	Weight	Objectives
Prompt Engineering	15%	- Principles and patterns 1. Instructions 2. Roles 3. Constraints - Prompting techniques 1. Few-shot prompting 2. Iterative prompting 3. Chained prompting - Security and safety 1. Prompt injection attacks 2. Reducing hallucinations 3. Improving response accuracy 4. Defensive prompting methods - Prompt structures 1. Image generation 2. Audio generation 3. Text generation
Data Research and Analysis		- Data analysis techniques 1. Data visualization 2. Statistical analysis - Data collection and preparation 1. Data gathering methodologies 2. Data cleaning and preprocessing
Generative AI Models	20%	- Major generative model families 1. Large language models (LLMs) 2. Diffusion models - Model selection 1. Selection from AI hubs 2. Reasoning and multimodal tasks - Retrieval Augmented Generation (RAG) 1. Grounding AI outputs in external knowledge 2. Embeddings 3. Vector databases - Model hosting strategies 1. Cost, latency, privacy, and scalability considerations 2. Cloud-based vs. local deployments - Context windows and token management 1. Token limits 2. Response management - Common use cases 1. Code generation 2. Content creation 3. Text summarization
AI for Code and Workflow Optimization		- AI-assisted code development 1. Code generation 2. Code review and debugging - Workflow automation 1. Task optimization 2. Process automation
AI Ethics and Security		- Security threats and mitigations 1. Data privacy 2. Model security - Ethical considerations in AI 1. Transparency and explainability 2. Bias and fairness
Agentic AI	20%	- Data transformation and mapping 1. Within AI Agents - Differentiation from Generative AI 1. Use cases comparison 2. Autonomous capabilities - Model Context Protocol (MCP) 1. MCP framework primitives 2. Context in agentic AI - AI agent design principles 1. Orchestration 2. Human-in-the-loop (HITL) strategies

Cisco AI Technical Practitioner Sample Questions:

Question #1

Which role does AI play in assisting with the refactoring of software code?

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

Reveal Solution Discussion 0

Correct Answer: B 🗳️