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Cisco 810-110 Exam Syllabus Topics:

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

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

NEW QUESTION # 14
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. hybrid deployment with cloud-based backup
B. cloud-based API with Zero Data Retention
C. local LLM deployment on internal hardware
D. managed SaaS AI platform with SOC 2 audit

Answer: C

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 # 15
What is hallucination in generative AI?

A. Database replication
B. AI generating incorrect or fabricated information
C. Network congestion
D. GPU overheating

Answer: B

Explanation:
Hallucination occurs when an AI confidently produces false or misleading outputs.

NEW QUESTION # 16
A team uses AI to scaffold a new microservice. What does this process involve?

A. removing redundant logic
B. testing the final production code
C. generating the initial structure
D. creating automated deployment scripts

Answer: C

Explanation:
Scaffolding uses AI to generate the initial project structure, boilerplate files, configuration, and basic code layout so the team can start development faster.

NEW QUESTION # 17
Why is defining a persona considered a best practice for technical prompt engineering?

A. It reduces the total token usage.
B. It provides a pattern to emulate.
C. It guides the tone and vocabulary.
D. It provides instructions for desired action.

Answer: C

Explanation:
Defining a persona guides the AI to respond with the appropriate role-based tone, vocabulary, level of technical depth, and communication style for the intended audience.

NEW QUESTION # 18
Which threat involves an attacker intentionally contaminating the training set of a model to influence its future behavior?

A. algorithmic bias
B. data poisoning
C. direct prompt injection
D. gradient inversion

Answer: B

Explanation:
Data poisoning occurs when an attacker deliberately manipulates or contaminates training data so the model learns harmful, biased, or attacker-controlled behavior.

NEW QUESTION # 19
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