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Cisco 810-110 Exam Syllabus Topics:

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

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Cisco AI Technical Practitioner Sample Questions (Q64-Q69):

NEW QUESTION # 64
An organization has regulatory requirements that prohibit any proprietary source code from leaving the internal network. Which hosting strategy provides the highest level of data sovereignty?

A. cloud-based API with Zero Data Retention
B. hybrid deployment with cloud-based backup
C. managed SaaS AI platform with SOC 2 audit
D. local LLM deployment on internal hardware

Answer: D

Explanation:
Local LLM deployment on internal hardware keeps proprietary source code within the organization's internal network, providing the strongest control over data location, access, and governance.

NEW QUESTION # 65
Which risk occurs when an AI model provides an outdated technical specification because it was trained before the new standard was released?

A. data poisoning
B. disinformation
C. misinformation
D. knowledge cut-off

Answer: D

Explanation:
Knowledge cut-off occurs when a model lacks information about events, standards, or specifications released after its training data period, causing it to provide outdated information.

NEW QUESTION # 66
In supervised machine learning, what is required?

A. Labeled datasets
B. No data
C. Random hardware failures
D. Only encrypted traffic

Answer: A

Explanation:
Supervised learning trains models using labeled input-output pairs.

NEW QUESTION # 67
Which Cisco platform provides AI-powered security analytics?

A. Cisco UCS Manager only
B. Cisco Packet Tracer
C. Cisco SecureX
D. Cisco IOS ROMMON

Answer: C

Explanation:
Cisco SecureX integrates security visibility, analytics, and automation using AI-driven insights.

NEW QUESTION # 68
What is a difference between generative AI and agentic AI?

A. Generative AI produces single-turn responses and agentic AI executes multi-step reasoning loops.
B. Generative AI uses retrieval-augmented generation and agentic AI does not support external data sources.
C. Generative AI requires tool access and agentic AI relies on its training data.
D. Generative AI operates autonomously and agentic AI requires a prompt for each action.

Answer: A

Explanation:
Generative AI primarily creates content or responses from a prompt, while agentic AI can plan, reason, use tools, and execute multi-step workflows toward a goal.

NEW QUESTION # 69
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