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Cisco 810-110 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Prompt Engineering | 15% | - Prompt design principles and best practices - Advanced prompting techniques - Defensive prompting and error mitigation |
| Topic 2: AI Ethics and Security | 20% | - Responsible AI principles - Compliance and governance frameworks - AI-specific threats, risks and misinformation - Data privacy and security in AI systems |
| Topic 3: Agentic AI | 15% | - Agent design principles and capabilities - Agentic AI vs Generative AI use cases - Human-in-the-loop strategies - Model Context Protocol (MCP) framework |
| Topic 4: Generative AI Models | 20% | - Context windows, token limits and response management - Model hosting options and trade-offs - Generative AI model families and use cases - Model selection and evaluation in AI hubs |
| Topic 5: Data Research and Analysis | 15% | - Data visualization and insight generation - Data collection, preparation and preprocessing - Data quality, bias and validation |
| Topic 6: AI for Code and Workflow Optimization | 15% | - Integration of AI tools in development processes - AI-assisted code generation and improvement - Automation and workflow enhancement |
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 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) orient
B) visualize
C) hypothesize
D) correlate
3. When using AI to draft a technical proposal, what is the benefit of a format-agnostic strategy?
A) It maintains contextual alignment.
B) It allows for easy repurposing.
C) It ensures the most creative text.
D) It minimizes token consumption.
4. Which action demonstrates the principle of fairness in a generative AI deployment?
A) hosting the model in a carbon-neutral data center
B) requiring users to sign Acceptable Use Policies
C) auditing model outputs for bias
D) redacting PII from the training dataset
5. What is a corporate data privacy risk when using a public AI chatbot?
A) The data will be encrypted at rest instead of in transit.
B) The AI will provide biased technical advice.
C) The input data may be used for model training.
D) The AI will provide hallucinated technical specifications.
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: C | Question # 3 Answer: B | Question # 4 Answer: C | Question # 5 Answer: C |
