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Cisco 810-110 Exam Syllabus Topics:

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

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Latest 810-110 Exam Topics - 810-110 Valid Exam Answers

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Cisco AI Technical Practitioner Sample Questions (Q65-Q70):

NEW QUESTION # 65
What is the purpose of a vector database in a RAG architecture?

A. to perform model weight updates
B. to store numerical representations of data
C. to manage the context window
D. to allocate resources for response generation

Answer: B

Explanation:
A vector database stores embeddings, which are numerical representations of data, so a RAG system can retrieve semantically relevant information for grounding the model's response.

NEW QUESTION # 66
Which Cisco platform provides AI-powered security analytics?

A. Cisco IOS ROMMON
B. Cisco SecureX
C. Cisco Packet Tracer
D. Cisco UCS Manager only

Answer: B

Explanation:
Cisco SecureX integrates security visibility, analytics, and automation using AI-driven insights.

NEW QUESTION # 67
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 input data may be used for model training.
D. The data will be encrypted at rest instead of in transit.

Answer: C

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 # 68
In an AI-powered automation workflow, what is the function of an approval gate?

A. to ensure the internal logic of AI remains closed for modification
B. to trigger automated completion notifications to project stakeholders
C. to automatically block deployments if system health alerts are active
D. to apply human judgement before high-impact actions are executed

Answer: D

Explanation:
An approval gate adds human review before an automated workflow performs a high-impact action, helping ensure that AI-driven decisions are checked for correctness, risk, and business impact before execution.

NEW QUESTION # 69
In supervised machine learning, what is required?

A. Only encrypted traffic
B. Random hardware failures
C. No data
D. Labeled datasets

Answer: D

NEW QUESTION # 70
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