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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 |
| Agentic AI | 15% | - Model Context Protocol (MCP) framework - Agentic AI vs Generative AI use cases - Agent design principles and capabilities - Human-in-the-loop strategies |
| Data Research and Analysis | 15% | - Data quality, bias and validation - Data visualization and insight generation - Data collection, preparation and preprocessing |
| Prompt Engineering | 15% | - Prompt design principles and best practices - Advanced prompting techniques - Defensive prompting and error mitigation |
| Generative AI Models | 20% | - Model selection and evaluation in AI hubs - Generative AI model families and use cases - Context windows, token limits and response management - Model hosting options and trade-offs |
| AI for Code and Workflow Optimization | 15% | - AI-assisted code generation and improvement - Integration of AI tools in development processes - Automation and workflow enhancement |
Cisco AI Technical Practitioner Sample Questions:
1. A practitioner must reduce the financial cost of a high-volume summarization task. Which strategy addresses token-based billing?
A) increasing the model sampling rate
B) increasing the model temperature
C) minimizing the input prompt size
D) expanding the total context window
2. Which algorithm category is used when no labels exist in data?
A) Supervised learning
B) Reinforcement learning only
C) Unsupervised learning
D) Deterministic routing
3. In an AI-powered automation workflow, what is deterministic branching?
A) A workflow state that pauses execution until a human manually determines the next step.
B) A process where the AI model autonomously selects the next step based on its internal confidence score.
C) A decision point where the next step is dictated by specific, pre-programmed rules.
D) A dynamic system where branching criteria evolve over time using optimization algorithms.
4. 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 a tool or service provider
D) to act as an LLM for inferencing
5. What is the benefit of AI Ops (AIOps) in networking?
A) Disables telemetry
B) Eliminates all routers
C) Removes cloud computing
D) Automates monitoring and incident analysis
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: C | Question # 3 Answer: C | Question # 4 Answer: B | Question # 5 Answer: D |




