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Cisco 810-110 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Prompt Engineering	15%	- Prompt design principles and best practices - Advanced prompting techniques - Defensive prompting and error mitigation
Topic 2: AI Ethics and Security	20%	- AI-specific threats, risks and misinformation - Data privacy and security in AI systems - Compliance and governance frameworks - Responsible AI principles
Topic 3: Data Research and Analysis	15%	- Data visualization and insight generation - Data quality, bias and validation - Data collection, preparation and preprocessing
Topic 4: AI for Code and Workflow Optimization	15%	- Automation and workflow enhancement - Integration of AI tools in development processes - AI-assisted code generation and improvement
Topic 5: Generative AI Models	20%	- Model hosting options and trade-offs - Generative AI model families and use cases - Model selection and evaluation in AI hubs - Context windows, token limits and response management
Topic 6: Agentic AI	15%	- Agentic AI vs Generative AI use cases - Model Context Protocol (MCP) framework - Agent design principles and capabilities - Human-in-the-loop strategies

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Cisco AI Technical Practitioner Sample Questions (Q66-Q71):

NEW QUESTION # 66
Which Cisco solution helps automate network operations using AI insights?

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

Answer: D

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

NEW QUESTION # 67
A practitioner is solving a complex architectural problem by breaking it into four sequential prompts. Each prompt's output is fed as input into the next prompt in the sequence. Which prompt engineering technique is being used?

A. prompt chaining
B. few-shot prompting
C. meta-prompting
D. chain-of-thought prompting

Answer: A

Explanation:
Prompt chaining breaks a complex task into a sequence of connected prompts, where each response becomes part of the input for the next step.

NEW QUESTION # 68
A marketing team must generate high-fidelity images for a new product launch. Which model is designed to handle this task through the process of iterative noise reduction?

A. generative adversarial networks
B. diffusion models
C. large language models
D. variational autoencoders

Answer: B

Explanation:
Diffusion models generate high-fidelity images by starting from noise and iteratively denoising it over multiple steps until a coherent image is produced.

NEW QUESTION # 69
Which role does AI play in assisting with the refactoring of software code?

A. identifying flaws and improving design
B. creating a new database schema
C. integrating a new API
D. reducing manual code documentation

Answer: A

Explanation:
AI-assisted refactoring helps analyze existing code to identify design flaws, simplify structure, improve readability, and maintain behavior while making the code easier to maintain.

NEW QUESTION # 70
Which Cisco AI capability helps detect abnormal network behavior?

A. AI-driven anomaly detection
B. BIOS recovery mode
C. Manual packet counting
D. Static routing

Answer: A

Explanation:
AI systems can identify unusual patterns and potential threats automatically.

NEW QUESTION # 71
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