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Cisco 810-110 Exam Syllabus Topics:

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

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最新的 Cisco AI Technical Practitioner (AITECH) 810-110 免費考試真題 (Q60-Q65):

問題 #60
A company discloses to its users that their support tickets are being summarized by an AI model.
Which responsible AI principle does this action support?

A. system safety
B. inclusiveness
C. transparency
D. bias mitigation

答案：C

解題說明：
Transparency means clearly informing users when AI is being used, what it is doing, and how it may affect their data or experience.

問題 #61
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

答案：A

解題說明：
CNNs are optimized for image and visual pattern recognition.

問題 #62
Which action demonstrates the principle of fairness in a generative AI deployment?

A. requiring users to sign Acceptable Use Policies
B. hosting the model in a carbon-neutral data center
C. auditing model outputs for bias
D. redacting PII from the training dataset

答案：C

解題說明：
Fairness requires checking whether model outputs treat users or groups equitably, so auditing outputs for bias helps identify and reduce discriminatory or unequal outcomes.

問題 #63
Why are prompts important in generative AI systems?

A. They eliminate hallucinations completely
B. They determine model behavior and output quality
C. They replace training datasets
D. They encrypt AI hardware

答案：B

解題說明：
Well-structured prompts significantly improve response accuracy and relevance.

問題 #64
A practitioner must reduce the financial cost of a high-volume summarization task. Which strategy addresses token-based billing?

A. increasing the model temperature
B. expanding the total context window
C. minimizing the input prompt size
D. increasing the model sampling rate

答案：C

解題說明：
Token-based billing is driven by the number of input and output tokens processed, so reducing the prompt size lowers the total tokens consumed across high-volume summarization requests.

問題 #65
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