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Cisco 810-110 Exam Syllabus Topics:

Section	Weight	Objectives
Data Research and Analysis	15%	- Data collection, preparation and preprocessing - Data visualization and insight generation - Data quality, bias and validation
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
AI Ethics and Security	20%	- Compliance and governance frameworks - AI-specific threats, risks and misinformation - Data privacy and security in AI systems - Responsible AI principles
AI for Code and Workflow Optimization	15%	- Integration of AI tools in development processes - AI-assisted code generation and improvement - Automation and workflow enhancement
Prompt Engineering	15%	- Prompt design principles and best practices - Advanced prompting techniques - Defensive prompting and error mitigation
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 (Q54-Q59):

NEW QUESTION # 54
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. local LLM deployment on internal hardware
C. managed SaaS AI platform with SOC 2 audit
D. hybrid deployment with cloud-based backup

Answer: B

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 # 55
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 # 56
What is a corporate data privacy risk when using a public AI chatbot?

A. The AI will provide biased technical advice.
B. The AI will provide hallucinated technical specifications.
C. The data will be encrypted at rest instead of in transit.
D. The input data may be used for model training.

Answer: D

Explanation:
A public AI chatbot may retain submitted corporate data or use it to improve model training, which can expose confidential, proprietary, or regulated information outside the organization's control.

NEW QUESTION # 57
A user includes project background information and the specific technical constraints in a prompt.
Which principle of prompt engineering is being applied?

A. stating the purpose
B. defining a persona
C. describing the situation
D. using few-shot

Answer: C

Explanation:
Describing the situation means providing relevant context, background information, and constraints so the AI can generate a response that fits the specific scenario.

NEW QUESTION # 58
Which metric is commonly used to evaluate classification models?

A. Voltage
B. Accuracy
C. Throughput only
D. Packet TTL

Answer: B

Explanation:
Accuracy measures how many predictions were correct out of total predictions.

NEW QUESTION # 59
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