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Cisco 810-110 Exam Syllabus Topics:

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

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Cisco AI Technical Practitioner Sample Questions (Q14-Q19):

NEW QUESTION # 14
What happens when the input provided to an LLM exceeds its context window limit?

A. The model loses the earliest part of the text.
B. The model switches to a different algorithm.
C. The model caches the overflow data.
D. The model increases its context window size.

Answer: A

Explanation:
When input exceeds the context window, the model cannot process all provided text at once, so earlier content may be truncated or pushed out of the active context.

NEW QUESTION # 15
Which activity occurs when a developer uses AI to generate a complete Python class for a new API client based on a high-level description?

A. providing inline co-pilot assistance
B. implementing predictive function logic
C. performing code scaffolding
D. executing legacy code refactoring

Answer: C

Explanation:
Code scaffolding uses AI to generate the initial structure and boilerplate for a new component, such as a complete Python class for an API client based on a high-level description.

NEW QUESTION # 16
What is the primary goal of Retrieval-Augmented Generation (RAG) in AI systems?

A. Reduce GPU usage only
B. Encrypt AI datasets
C. Improve model responses with external knowledge
D. Replace neural networks

Answer: C

Explanation:
RAG combines a large language model with external data retrieval systems so the model can answer using updated and domain-specific knowledge.

NEW QUESTION # 17
Which role does AI play in assisting with the refactoring of software code?

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

Answer: B

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 # 18
Which Cisco technology is commonly associated with network observability and telemetry?

A. Spanning Tree Protocol
B. VLAN Trunking Protocol only
C. NetFlow
D. RIP v1

Answer: C

Explanation:
NetFlow provides visibility into traffic flows and is widely used for monitoring, analytics, and AI- driven operations.

NEW QUESTION # 19
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