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Cisco 810-110 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Generative AI Models | 20% | - Model hosting options and trade-offs - Context windows, token limits and response management - Generative AI model families and use cases - Model selection and evaluation in AI hubs |
| Topic 2: Data Research and Analysis | 15% | - Data collection, preparation and preprocessing - Data visualization and insight generation - Data quality, bias and validation |
| Topic 3: Agentic AI | 15% | - Human-in-the-loop strategies - Agent design principles and capabilities - Model Context Protocol (MCP) framework - Agentic AI vs Generative AI use cases |
| Topic 4: AI Ethics and Security | 20% | - Compliance and governance frameworks - Responsible AI principles - AI-specific threats, risks and misinformation - Data privacy and security in AI systems |
| Topic 5: AI for Code and Workflow Optimization | 15% | - AI-assisted code generation and improvement - Integration of AI tools in development processes - Automation and workflow enhancement |
| Topic 6: Prompt Engineering | 15% | - Advanced prompting techniques - Defensive prompting and error mitigation - Prompt design principles and best practices |
Cisco AI Technical Practitioner Sample Questions:
Question 1
A practitioner is using AI to analyze customer support tickets and usage data to compare customer complaint patterns across segments. According to the 4-step EDA methodology, what is the next action after generating a high-level summary of the feedback?
A. hypothesize
B. orient
C. visualize
D. correlate
Question 2
Which role does AI play in assisting with the refactoring of software code?
A. identifying flaws and improving design
B. integrating a new API
C. creating a new database schema
D. reducing manual code documentation
Question 3
In an AI-powered automation workflow, what is the function of an approval gate?
A. to ensure the internal logic of AI remains closed for modification
B. to apply human judgement before high-impact actions are executed
C. to trigger automated completion notifications to project stakeholders
D. to automatically block deployments if system health alerts are active
Question 4
What is the role of embeddings in AI systems?
A. Assigning IP addresses
B. Compressing logs
C. Encrypting traffic
D. Representing data numerically in vector space
Question 5
Which strategy should be used to mitigate hallucinations when asking an AI to summarize a specific technical document?
A. increasing the model creativity
B. requesting citations for the summary
C. removing negative constraints
D. using a short system prompt
Solutions:
| Question 1 Answer: A | Question 2 Answer: A | Question 3 Answer: B | Question 4 Answer: D | Question 5 Answer: B |
Hugh 
Colbert 
Isidore 
Christ 
Morgan 
Megan 
Tim 
Lisa 
Sandy 
Grover 
Bishop 
Lena 
