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Cisco 810-110 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: 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 2: Agentic AI | 15% | - Model Context Protocol (MCP) framework - Agentic AI vs Generative AI use cases - Human-in-the-loop strategies - Agent design principles and capabilities |
| Topic 3: AI for Code and Workflow Optimization | 15% | - Integration of AI tools in development processes - AI-assisted code generation and improvement - Automation and workflow enhancement |
| Topic 4: Data Research and Analysis | 15% | - Data collection, preparation and preprocessing - Data quality, bias and validation - Data visualization and insight generation |
| Topic 5: 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 |
| Topic 6: Prompt Engineering | 15% | - Prompt design principles and best practices - Advanced prompting techniques - Defensive prompting and error mitigation |
Cisco AI Technical Practitioner Sample Questions:
1. An organization has regulatory requirements that prohibit any proprietary source code from leaving the internal network. Which hosting strategy provides the highest level of data sovereignty?
A) cloud-based API with Zero Data Retention
B) managed SaaS AI platform with SOC 2 audit
C) hybrid deployment with cloud-based backup
D) local LLM deployment on internal hardware
2. Which protocol is commonly used for streaming telemetry in modern networks?
A) FTP
B) Telnet
C) gRPC
D) ARP
3. Why are embeddings essential to the retrieval phase of a RAG system?
A) They reduce model hallucination.
B) They represent semantic meaning.
C) They compress the prompt length.
D) They provide a keyword index.
4. A marketing team must generate high-fidelity images for a new product launch. Which model is designed to handle this task through the process of iterative noise reduction?
A) diffusion models
B) large language models
C) generative adversarial networks
D) variational autoencoders
5. Why is defining a persona considered a best practice for technical prompt engineering?
A) It guides the tone and vocabulary.
B) It reduces the total token usage.
C) It provides a pattern to emulate.
D) It provides instructions for desired action.
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: C | Question # 3 Answer: B | Question # 4 Answer: A | Question # 5 Answer: A |
