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Cisco 810-110 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| AI Ethics and Security | 20% | - Data privacy and security in AI systems - AI-specific threats, risks and misinformation - Compliance and governance frameworks - Responsible AI principles |
| AI for Code and Workflow Optimization | 15% | - Integration of AI tools in development processes - Automation and workflow enhancement - AI-assisted code generation and improvement |
| Agentic AI | 15% | - Model Context Protocol (MCP) framework - Human-in-the-loop strategies - Agent design principles and capabilities - Agentic AI vs Generative AI use cases |
| Data Research and Analysis | 15% | - Data collection, preparation and preprocessing - Data visualization and insight generation - Data quality, bias and validation |
| Generative AI Models | 20% | - Generative AI model families and use cases - Model hosting options and trade-offs - Model selection and evaluation in AI hubs - Context windows, token limits and response management |
| Prompt Engineering | 15% | - Advanced prompting techniques - Defensive prompting and error mitigation - Prompt design principles and best practices |
Cisco AI Technical Practitioner Sample Questions:
1. Which Cisco AI capability helps detect abnormal network behavior?
A) AI-driven anomaly detection
B) Manual packet counting
C) BIOS recovery mode
D) Static routing
2. Which design principle helps prevent an autonomous agent from looping infinitely and wasting tokens?
A) using smaller contexts
B) using known patterns
C) implementing constraints
D) removing system prompts
3. Which AI-assisted task standardizes inconsistent date formats (e.g., MM/DD/YY and DD-MM- YYYY)?
A) thematic summarization
B) data transformation
C) data visualization
D) data correlation
4. Which AI-driven activity involves a developer providing runtime error logs to a model to receive an explanation of the root cause and a suggested fix?
A) continuous integration optimization
B) code scaffolding
C) AI-assisted debugging
D) automated unit testing
5. What is the role of the client in the Model Context Protocol?
A) to provide resources for task execution
B) to orchestrate interactions with servers
C) to act as an LLM for inferencing
D) to act as a tool or service provider
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: C | Question # 3 Answer: B | Question # 4 Answer: C | Question # 5 Answer: B |
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