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Cisco 810-110 Exam Syllabus Topics:

Section	Weight	Objectives
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
Agentic AI Systems		- Agent architecture 1. Multi-step reasoning workflows 2. Autonomous agents and orchestration
Generative AI Models	20%	- Model hosting and architecture 1. Cloud vs local deployment trade-offs 2. Latency, cost, privacy considerations - Context and retrieval systems 1. Context windows and token limits 2. RAG, embeddings, vector databases - Model fundamentals and use cases 1. LLMs and diffusion models overview 2. Use cases: summarization, code generation, content creation
AI for Data Research and Analysis		- Data exploration and transformation 1. Insight generation and validation 2. AI-assisted data cleaning
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		- Automation workflows 1. API integration basics 2. Workflow orchestration concepts - AI-assisted software development 1. SDLC integration 2. Code generation and debugging

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The 810-110 web-based practice test can accessed online. It means the exam candidates can access it from the browsers like Firefox, Microsoft Edge, Google Chrome, and Safari. The user don't need to install or download any excessive plugins to take the Cisco AI Technical Practitioner (810-110) practice test. Mac, Windows, iOS, Android, and Linux support it. The third and last format is the desktop practice test software. The Cisco AI Technical Practitioner (810-110) desktop practice test format can be used on Windows computers.

Cisco AI Technical Practitioner Sample Questions (Q43-Q48):

NEW QUESTION # 43
Which Cisco platform provides AI-powered security analytics?

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

Answer: A

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

NEW QUESTION # 44
Which Cisco technology is commonly associated with network observability and telemetry?

A. VLAN Trunking Protocol only
B. RIP v1
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 # 45
What is the role of an MCP server in the MCP open standard?

A. to route requests between different AI providers
B. to host the LLM and perform token inference
C. to provide the GUI for the end-user interaction
D. to expose tools and resources to an AI model

Answer: D

Explanation:
An MCP server exposes external tools, data sources, and resources through a standardized interface so an AI model or agent can access capabilities beyond its built-in training data.

NEW QUESTION # 46
Which activity is an indirect prompt injection attack?

A. A prompt forces AI to ignore safety filters.
B. A user types a malicious command.
C. AI reads a poisoned data source.
D. The model generates a false fact.

Answer: C

Explanation:
An indirect prompt injection occurs when malicious instructions are hidden in external content that the AI reads or retrieves, causing the model to follow attacker-controlled instructions from a poisoned data source.

NEW QUESTION # 47
What is the purpose of tokenization in Large Language Models (LLMs)?

A. Splitting text into manageable units
B. Routing packets
C. Encrypting passwords
D. Compressing images

Answer: A

Explanation:
Tokenization converts text into smaller units (tokens) that AI models can process.

NEW QUESTION # 48
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