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Cisco 810-110 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Agentic AI | 15% | - Agentic AI vs Generative AI use cases - Agent design principles and capabilities - Model Context Protocol (MCP) framework - Human-in-the-loop strategies |
| Prompt Engineering | 15% | - Prompt design principles and best practices - Advanced prompting techniques - Defensive prompting and error mitigation |
| AI for Code and Workflow Optimization | 15% | - AI-assisted code generation and improvement - Automation and workflow enhancement - Integration of AI tools in development processes |
| AI Ethics and Security | 20% | - Compliance and governance frameworks - Data privacy and security in AI systems - AI-specific threats, risks and misinformation - Responsible AI principles |
| Generative AI Models | 20% | - Context windows, token limits and response management - Generative AI model families and use cases - Model selection and evaluation in AI hubs - Model hosting options and trade-offs |
| Data Research and Analysis | 15% | - Data visualization and insight generation - Data quality, bias and validation - Data collection, preparation and preprocessing |
Cisco AI Technical Practitioner Sample Questions:
1. What does NLP stand for in AI?
A) Network Layer Processing
B) Natural Language Processing
C) Native Logic Programming
D) Neural Link Protocol
2. 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) chain-of-thought
B) zero-shot prompting
C) few-shot prompting
D) metaprompting
3. Which AI model type is best suited for image recognition tasks?
A) Linear Regression
B) Decision Tree only
C) Convolutional Neural Network (CNN)
D) K-Means
4. Which activity is an indirect prompt injection attack?
A) AI reads a poisoned data source.
B) A user types a malicious command.
C) A prompt forces AI to ignore safety filters.
D) The model generates a false fact.
5. 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) minimizing the input prompt size
C) expanding the total context window
D) increasing the model temperature
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: C | Question # 3 Answer: C | Question # 4 Answer: A | Question # 5 Answer: B |
