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Cisco 810-110 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: 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 2: Prompt Engineering | 15% | - Defensive prompting and error mitigation - Advanced prompting techniques - Prompt design principles and best practices |
| Topic 3: Generative AI Models | 20% | - Context windows, token limits and response management - Generative AI model families and use cases - Model hosting options and trade-offs - Model selection and evaluation in AI hubs |
| Topic 4: 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 5: AI Ethics and Security | 20% | - Data privacy and security in AI systems - AI-specific threats, risks and misinformation - Compliance and governance frameworks - Responsible AI principles |
| Topic 6: Data Research and Analysis | 15% | - Data visualization and insight generation - Data quality, bias and validation - Data collection, preparation and preprocessing |
Cisco AI Technical Practitioner Sample Questions:
1. A practitioner is solving a complex architectural problem by breaking it into four sequential prompts. Each prompt's output is fed as input into the next prompt in the sequence. Which prompt engineering technique is being used?
A) chain-of-thought prompting
B) few-shot prompting
C) prompt chaining
D) meta-prompting
2. What is the primary goal of Retrieval-Augmented Generation (RAG) in AI systems?
A) Reduce GPU usage only
B) Replace neural networks
C) Encrypt AI datasets
D) Improve model responses with external knowledge
3. What is hallucination in generative AI?
A) AI generating incorrect or fabricated information
B) Network congestion
C) Database replication
D) GPU overheating
4. Which activity is an indirect prompt injection attack?
A) AI reads a poisoned data source.
B) A user types a malicious command.
C) A prompt forces AI to ignore safety filters.
D) The model generates a false fact.
5. What is the benefit of AI Ops (AIOps) in networking?
A) Automates monitoring and incident analysis
B) Disables telemetry
C) Removes cloud computing
D) Eliminates all routers
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: D | Question # 3 Answer: A | Question # 4 Answer: A | Question # 5 Answer: A |
