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Cisco 810-110 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| AI for Code and Workflow Optimization | 15% | - Automation and workflow enhancement - AI-assisted code generation and improvement - Integration of AI tools in development processes |
| Data Research and Analysis | 15% | - Data quality, bias and validation - Data visualization and insight generation - Data collection, preparation and preprocessing |
| AI Ethics and Security | 20% | - Data privacy and security in AI systems - Responsible AI principles - Compliance and governance frameworks - AI-specific threats, risks and misinformation |
| Generative AI Models | 20% | - Generative AI model families and use cases - Context windows, token limits and response management - Model hosting options and trade-offs - Model selection and evaluation in AI hubs |
| Prompt Engineering | 15% | - Advanced prompting techniques - Prompt design principles and best practices - Defensive prompting and error mitigation |
| Agentic AI | 15% | - Agent design principles and capabilities - Human-in-the-loop strategies - Model Context Protocol (MCP) framework - Agentic AI vs Generative AI use cases |
Cisco AI Technical Practitioner Sample Questions:
Question 1
What happens when the input provided to an LLM exceeds its context window limit?
A. The model loses the earliest part of the text.
B. The model increases its context window size.
C. The model switches to a different algorithm.
D. The model caches the overflow data.
Question 2
What is aggregation bias in the context of AI-assisted data analysis?
A. when AI uses summary statistics instead of raw data
B. when AI fails to combine conflicting patterns
C. when data is omitted due to incompatible formats
D. when a summary masks subpatterns
Question 3
What is an advantage of cloud-hosted API services when comparing cloud-hosted and locally hosted AI models?
A. rapid elastic scaling for unpredictable inference demand
B. lower network latency for all end users
C. full control over data residency and privacy
D. elimination of per-token operational costs
Question 4
Which algorithm category is used when no labels exist in data?
A. Deterministic routing
B. Unsupervised learning
C. Reinforcement learning only
D. Supervised learning
Question 5
Which activity is an indirect prompt injection attack?
A. The model generates a false fact.
B. A prompt forces AI to ignore safety filters.
C. A user types a malicious command.
D. AI reads a poisoned data source.
Solutions:
| Question 1 Answer: A | Question 2 Answer: D | Question 3 Answer: A | Question 4 Answer: B | Question 5 Answer: D |
