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Cisco 810-110 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: AI Ethics and Security20%- Responsible AI principles
- AI-specific threats, risks and misinformation
- Data privacy and security in AI systems
- Compliance and governance frameworks
Topic 2: Generative AI Models20%- Model hosting options and trade-offs
- Model selection and evaluation in AI hubs
- Context windows, token limits and response management
- Generative AI model families and use cases
Topic 3: Agentic AI15%- Agent design principles and capabilities
- Model Context Protocol (MCP) framework
- Human-in-the-loop strategies
- Agentic AI vs Generative AI use cases
Topic 4: Prompt Engineering15%- Prompt design principles and best practices
- Defensive prompting and error mitigation
- Advanced prompting techniques
Topic 5: AI for Code and Workflow Optimization15%- Automation and workflow enhancement
- AI-assisted code generation and improvement
- Integration of AI tools in development processes
Topic 6: Data Research and Analysis15%- Data quality, bias and validation
- Data collection, preparation and preprocessing
- Data visualization and insight generation

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Cisco AI Technical Practitioner Sample Questions (Q67-Q72):

NEW QUESTION # 67
What is hallucination in generative AI?

Answer: D

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


NEW QUESTION # 68
What is the role of the client in the Model Context Protocol?

Answer: B

Explanation:
In the Model Context Protocol, the client manages communication between the AI application and MCP servers, coordinating requests for tools, resources, and context needed during task execution.


NEW QUESTION # 69
A practitioner is estimating the operational cost of integrating a cloud-hosted LLM API into an application. How does tokenization influence the cost of using this API?

Answer: C

Explanation:
Cloud-hosted LLM APIs commonly charge based on the number of input and output tokens processed, so tokenization directly affects the per-request cost.


NEW QUESTION # 70
A team uses AI to scaffold a new microservice. What does this process involve?

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 # 71
What is a difference between generative AI and agentic AI?

Answer: B

Explanation:
Generative AI primarily creates content or responses from a prompt, while agentic AI can plan, reason, use tools, and execute multi-step workflows toward a goal.


NEW QUESTION # 72
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