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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. 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
Ethics and Security	15%	- AI security threats 1. AI-specific attack surfaces 2. Misinformation and hallucinations - Data privacy and governance 1. Secure AI data handling - Responsible AI principles 1. Bias mitigation 2. Fairness, transparency, accountability
Agentic AI Systems		- Agent architecture 1. Autonomous agents and orchestration 2. Multi-step reasoning workflows
AI for Code and Workflow Optimization		- AI-assisted software development 1. Code generation and debugging 2. SDLC integration - Automation workflows 1. API integration basics 2. Workflow orchestration concepts
Prompt Engineering	15%	- Prompting techniques 1. Chained and iterative prompting 2. Few-shot prompting - Prompt design principles 1. Roles, instructions, constraints - Security and robustness 1. Prompt injection risks 2. Mitigation and defensive prompting
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 (Q19-Q24):

NEW QUESTION # 19
Which AI-assisted task standardizes inconsistent date formats (e.g., MM/DD/YY and DD-MM- YYYY)?

A. thematic summarization
B. data correlation
C. data visualization
D. data transformation

Answer: D

Explanation:
Data transformation converts inconsistent data into a consistent format, such as standardizing multiple date formats into one required representation.

NEW QUESTION # 20
What is the purpose of a vector database in a RAG architecture?

A. to store numerical representations of data
B. to manage the context window
C. to perform model weight updates
D. to allocate resources for response generation

Answer: A

Explanation:
A vector database stores embeddings, which are numerical representations of data, so a RAG system can retrieve semantically relevant information for grounding the model's response.

NEW QUESTION # 21
Which Cisco platform provides AI-powered security analytics?

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

Answer: C

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

NEW QUESTION # 22
What is occurring when an agent converts a CSV list into a Markdown table for a final report?

A. data quantization
B. data transformation
C. data classification
D. data filtering

Answer: B

Explanation:
Data transformation changes data from one format or structure into another, such as converting CSV rows into a Markdown table for reporting.

NEW QUESTION # 23
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. managed SaaS AI platform with SOC 2 audit
C. local LLM deployment on internal hardware
D. hybrid deployment with cloud-based backup

Answer: C

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 # 24
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