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Cisco 810-110 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Prompt Engineering | 15% | - Advanced prompting techniques - Defensive prompting and error mitigation - Prompt design principles and best practices |
| Topic 2: Data Research and Analysis | 15% | - Data visualization and insight generation - Data quality, bias and validation - Data collection, preparation and preprocessing |
| Topic 3: Agentic AI | 15% | - Agentic AI vs Generative AI use cases - Human-in-the-loop strategies - Agent design principles and capabilities - Model Context Protocol (MCP) framework |
| Topic 4: Generative AI Models | 20% | - Generative AI model families and use cases - Model selection and evaluation in AI hubs - Context windows, token limits and response management - Model hosting options and trade-offs |
| 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: 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 |
Cisco AI Technical Practitioner Sample Questions:
Question 1
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
Question 2
A user includes project background information and the specific technical constraints in a prompt.
Which principle of prompt engineering is being applied?
A. defining a persona
B. using few-shot
C. stating the purpose
D. describing the situation
Question 3
Which Cisco solution helps automate network operations using AI insights?
A. Cisco DNA Center
B. Cisco Repeater Utility
C. Cisco BIOS Manager
D. Cisco Hub
Question 4
Why are prompts important in generative AI systems?
A. They encrypt AI hardware
B. They eliminate hallucinations completely
C. They determine model behavior and output quality
D. They replace training datasets
Question 5
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. prompt chaining
B. few-shot prompting
C. meta-prompting
D. chain-of-thought prompting
Solutions:
| Question 1 Answer: A | Question 2 Answer: D | Question 3 Answer: A | Question 4 Answer: C | Question 5 Answer: A |
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