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Cisco 810-110 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Ethics and Security	15%	- AI security threats 1. AI-specific attack surfaces 2. Misinformation and hallucinations - Responsible AI principles 1. Bias mitigation 2. Fairness, transparency, accountability - Data privacy and governance 1. Secure AI data handling
Topic 2: AI for Data Research and Analysis		- Data exploration and transformation 1. AI-assisted data cleaning 2. Insight generation and validation
Topic 3: Agentic AI Systems		- Agent architecture 1. Autonomous agents and orchestration 2. Multi-step reasoning workflows
Topic 4: 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. Latency, cost, privacy considerations 2. Cloud vs local deployment trade-offs
Topic 5: Prompt Engineering	15%	- Prompting techniques 1. Chained and iterative prompting 2. Few-shot prompting - Security and robustness 1. Mitigation and defensive prompting 2. Prompt injection risks - Prompt design principles 1. Roles, instructions, constraints
Topic 6: AI for Code and Workflow Optimization		- AI-assisted software development 1. Code generation and debugging 2. SDLC integration - Automation workflows 1. Workflow orchestration concepts 2. API integration basics

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Cisco AI Technical Practitioner Sample Questions (Q49-Q54):

NEW QUESTION # 49
Which algorithm category is used when no labels exist in data?

A. Unsupervised learning
B. Supervised learning
C. Reinforcement learning only
D. Deterministic routing

Answer: A

Explanation:
Unsupervised learning discovers patterns or groupings without labeled outputs.

NEW QUESTION # 50
Which risk occurs when an AI model provides an outdated technical specification because it was trained before the new standard was released?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. misinformation
C. disinformation
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information about events, standards, or specifications released after its training data period, causing it to provide outdated information.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 # 51
Which AI model type is best suited for image recognition tasks?

A. Linear Regression
B. K-Means
C. Convolutional Neural Network (CNN)
D. Decision Tree only

Answer: C

Explanation:
CNNs are optimized for image and visual pattern recognition.

NEW QUESTION # 52
What is the role of the client in the Model Context Protocol?

A. to provide resources for task execution
B. to act as a tool or service provider
C. to act as an LLM for inferencing
D. to orchestrate interactions with servers

Answer: D

NEW QUESTION # 53
A developer provides AI with three examples of a log entry mapped to a specific error category before asking AI to categorize a new log entry. Which technique is being used?

A. few-shot prompting
B. chain-of-thought
C. zero-shot prompting
D. metaprompting

Answer: A

Explanation:
Few-shot prompting provides several examples of the expected input-output pattern so the AI can apply the same pattern to a new case.

NEW QUESTION # 54
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