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Cisco 810-110 Exam Syllabus Topics:

Section	Weight	Objectives
Agentic AI	15%	- Agent design principles and capabilities - Model Context Protocol (MCP) framework - Human-in-the-loop strategies - Agentic AI vs Generative AI use cases
Prompt Engineering	15%	- Prompt design principles and best practices - Advanced prompting techniques - Defensive prompting and error mitigation
AI Ethics and Security	20%	- Responsible AI principles - AI-specific threats, risks and misinformation - Data privacy and security in AI systems - Compliance and governance frameworks
Generative AI Models	20%	- Model hosting options and trade-offs - Model selection and evaluation in AI hubs - Context windows, token limits and response management - Generative AI model families and use cases
AI for Code and Workflow Optimization	15%	- AI-assisted code generation and improvement - Automation and workflow enhancement - Integration of AI tools in development processes
Data Research and Analysis	15%	- Data visualization and insight generation - Data quality, bias and validation - Data collection, preparation and preprocessing

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Cisco AI Technical Practitioner Sample Questions (Q39-Q44):

NEW QUESTION # 39
Which factor should be considered when selecting a pre-trained model for a mobile application with limited local computational resources?

A. response creativity level of the model
B. training duration of the model
C. release frequency of the model
D. parameter count of the model

Answer: D

Explanation:
Parameter count affects model size, memory usage, and compute requirements, so a smaller model is usually more suitable for a mobile application with limited local resources.

NEW QUESTION # 40
Which design principle helps prevent an autonomous agent from looping infinitely and wasting tokens?

A. using smaller contexts
B. removing system prompts
C. using known patterns
D. implementing constraints

Answer: D

Explanation:
Implementing constraints, such as maximum iteration limits, stop conditions, and execution boundaries, helps prevent an autonomous agent from repeatedly running actions without reaching a valid endpoint.

NEW QUESTION # 41
Which Cisco solution helps automate network operations using AI insights?

A. Cisco Hub
B. Cisco BIOS Manager
C. Cisco DNA Center
D. Cisco Repeater Utility

Answer: C

Explanation:
Cisco DNA Center uses AI and analytics for intent-based networking and automation.

NEW QUESTION # 42
Which AI model type is best suited for image recognition tasks?

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

Answer: A

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

NEW QUESTION # 43
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. hybrid deployment with cloud-based backup
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 # 44
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