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Cisco 810-110 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: 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 |
| Topic 2: Data Research and Analysis | 15% | - Data collection, preparation and preprocessing - Data quality, bias and validation - Data visualization and insight generation |
| Topic 3: Generative AI Models | 20% | - Generative AI model families and use cases - Context windows, token limits and response management - Model selection and evaluation in AI hubs - Model hosting options and trade-offs |
| Topic 4: AI Ethics and Security | 20% | - Responsible AI principles - Data privacy and security in AI systems - AI-specific threats, risks and misinformation - Compliance and governance frameworks |
| Topic 5: Prompt Engineering | 15% | - Advanced prompting techniques - Defensive prompting and error mitigation - Prompt design principles and best practices |
| Topic 6: AI for Code and Workflow Optimization | 15% | - Integration of AI tools in development processes - Automation and workflow enhancement - AI-assisted code generation and improvement |
Cisco AI Technical Practitioner Sample Questions:
1. In an AI-powered automation workflow, what is the function of an approval gate?
A) to apply human judgement before high-impact actions are executed
B) to ensure the internal logic of AI remains closed for modification
C) to trigger automated completion notifications to project stakeholders
D) to automatically block deployments if system health alerts are active
2. 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) transparency
B) inclusiveness
C) bias mitigation
D) system safety
3. A developer provides AI with three examples of a log entry mapped to a specific error category before asking AI to categorize a new log entry. Which technique is being used?
A) metaprompting
B) chain-of-thought
C) few-shot prompting
D) zero-shot prompting
4. What is the benefit of AI Ops (AIOps) in networking?
A) Automates monitoring and incident analysis
B) Removes cloud computing
C) Disables telemetry
D) Eliminates all routers
5. In supervised machine learning, what is required?
A) Only encrypted traffic
B) Labeled datasets
C) Random hardware failures
D) No data
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: A | Question # 3 Answer: C | Question # 4 Answer: A | Question # 5 Answer: B |
