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Cisco 810-110 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| 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 |
| Data Research and Analysis | 15% | - Data collection, preparation and preprocessing - Data visualization and insight generation - Data quality, bias and validation |
| Generative AI Models | 20% | - Model hosting options and trade-offs - Model selection and evaluation in AI hubs - Generative AI model families and use cases - Context windows, token limits and response management |
| Prompt Engineering | 15% | - Advanced prompting techniques - Defensive prompting and error mitigation - Prompt design principles and best practices |
| AI Ethics and Security | 20% | - AI-specific threats, risks and misinformation - Data privacy and security in AI systems - Responsible AI principles - Compliance and governance frameworks |
| AI for Code and Workflow Optimization | 15% | - Automation and workflow enhancement - AI-assisted code generation and improvement - Integration of AI tools in development processes |
Cisco AI Technical Practitioner Sample Questions:
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. large language models
- B. generative adversarial networks
- C. variational autoencoders
- D. diffusion models
Correct Answer: D 🗳️
Explanation: Only visible for DumpExam members. You can sign-up / login (it's free).
Which activity is an agentic AI use case compared to a standard generative AI use case?
- A. autonomously fixing a build
- B. writing a poem about routing
- C. translating a short email
- D. generating a meeting summary
Correct Answer: A 🗳️
Explanation: Only visible for DumpExam members. You can sign-up / login (it's free).
Why are prompts important in generative AI systems?
- A. They replace training datasets
- B. They encrypt AI hardware
- C. They eliminate hallucinations completely
- D. They determine model behavior and output quality
Correct Answer: D 🗳️
Explanation: Only visible for DumpExam members. You can sign-up / login (it's free).
How does a coordinator agent function in a multi-agent AI framework?
- A. It fine-tunes each agent's model weights to optimize performance on assigned tasks.
- B. It replaces the need for multiple agents by handling tasks within a single reasoning loop.
- C. It serves as the external data source that each agent queries for grounding information.
- D. It orchestrates task delegation across specialized agents and aggregates the outputs.
Correct Answer: D 🗳️
Explanation: Only visible for DumpExam members. You can sign-up / login (it's free).
What is hallucination in generative AI?
- A. Database replication
- B. GPU overheating
- C. AI generating incorrect or fabricated information
- D. Network congestion
Correct Answer: C 🗳️
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