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Cisco 810-110 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| AI for Code and Workflow Optimization | 15% | - AI-assisted code generation and improvement - Integration of AI tools in development processes - Automation and workflow enhancement |
| Generative AI Models | 20% | - Model hosting options and trade-offs - Generative AI model families and use cases - Context windows, token limits and response management - Model selection and evaluation in AI hubs |
| Agentic AI | 15% | - Agentic AI vs Generative AI use cases - Agent design principles and capabilities - Model Context Protocol (MCP) framework - Human-in-the-loop strategies |
| Prompt Engineering | 15% | - Advanced prompting techniques - Prompt design principles and best practices - Defensive prompting and error mitigation |
| Data Research and Analysis | 15% | - Data visualization and insight generation - Data collection, preparation and preprocessing - Data quality, bias and validation |
| AI Ethics and Security | 20% | - AI-specific threats, risks and misinformation - Responsible AI principles - Data privacy and security in AI systems - Compliance and governance frameworks |
Cisco AI Technical Practitioner Sample Questions:
1. A practitioner must reduce the financial cost of a high-volume summarization task. Which strategy addresses token-based billing?
A) increasing the model temperature
B) expanding the total context window
C) increasing the model sampling rate
D) minimizing the input prompt size
2. What happens when the input provided to an LLM exceeds its context window limit?
A) The model switches to a different algorithm.
B) The model loses the earliest part of the text.
C) The model increases its context window size.
D) The model caches the overflow data.
3. What is a purpose of providing a JSON schema when configuring tool use for an AI agent?
A) to map relationships between multiple tools in an agent workflow
B) to define the required parameters and data types the agent must return
C) to reduce the token count of the agent's system prompt
D) to encrypt the payload before it is sent to the external service
4. When using AI to draft a technical proposal, what is the benefit of a format-agnostic strategy?
A) It allows for easy repurposing.
B) It minimizes token consumption.
C) It maintains contextual alignment.
D) It ensures the most creative text.
5. Which threat involves an attacker intentionally contaminating the training set of a model to influence its future behavior?
A) data poisoning
B) algorithmic bias
C) direct prompt injection
D) gradient inversion
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: B | Question # 3 Answer: B | Question # 4 Answer: A | Question # 5 Answer: A |
