Cisco AI Technical Practitioner : 810-110

Exam Code: 810-110

Exam Name: Cisco AI Technical Practitioner

Updated: Jul 22, 2026

Q & A: 73 Questions and Answers

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About Cisco AI Technical Practitioner : 810-110 Exam

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Cisco 810-110 Exam Syllabus Topics:

SectionWeightObjectives
AI Ethics and Security- Ethical considerations in AI
  • 1. Bias and fairness
  • 2. Transparency and explainability
- Security threats and mitigations
  • 1. Data privacy
  • 2. Model security
Prompt Engineering15%- Prompt structures
  • 1. Text generation
  • 2. Audio generation
  • 3. Image generation
- Security and safety
  • 1. Improving response accuracy
  • 2. Prompt injection attacks
  • 3. Defensive prompting methods
  • 4. Reducing hallucinations
- Prompting techniques
  • 1. Few-shot prompting
  • 2. Chained prompting
  • 3. Iterative prompting
- Principles and patterns
  • 1. Instructions
  • 2. Constraints
  • 3. Roles
Agentic AI20%- Differentiation from Generative AI
  • 1. Autonomous capabilities
  • 2. Use cases comparison
- Model Context Protocol (MCP)
  • 1. MCP framework primitives
  • 2. Context in agentic AI
- Data transformation and mapping
  • 1. Within AI Agents
- AI agent design principles
  • 1. Human-in-the-loop (HITL) strategies
  • 2. Orchestration
Generative AI Models20%- Model hosting strategies
  • 1. Cost, latency, privacy, and scalability considerations
  • 2. Cloud-based vs. local deployments
- Model selection
  • 1. Reasoning and multimodal tasks
  • 2. Selection from AI hubs
- Retrieval Augmented Generation (RAG)
  • 1. Grounding AI outputs in external knowledge
  • 2. Vector databases
  • 3. Embeddings
- Major generative model families
  • 1. Large language models (LLMs)
  • 2. Diffusion models
- Context windows and token management
  • 1. Response management
  • 2. Token limits
- Common use cases
  • 1. Code generation
  • 2. Text summarization
  • 3. Content creation
AI for Code and Workflow Optimization- Workflow automation
  • 1. Task optimization
  • 2. Process automation
- AI-assisted code development
  • 1. Code generation
  • 2. Code review and debugging
Data Research and Analysis- Data analysis techniques
  • 1. Statistical analysis
  • 2. Data visualization
- Data collection and preparation
  • 1. Data gathering methodologies
  • 2. Data cleaning and preprocessing

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) expanding the total context window
B) minimizing the input prompt size
C) increasing the model temperature
D) increasing the model sampling rate


2. In an AI-powered automation workflow, what is the function of an approval gate?

A) to apply human judgement before high-impact actions are executed
B) to trigger automated completion notifications to project stakeholders
C) to automatically block deployments if system health alerts are active
D) to ensure the internal logic of AI remains closed for modification


3. A company discloses to its users that their support tickets are being summarized by an AI model.
Which responsible AI principle does this action support?

A) transparency
B) system safety
C) bias mitigation
D) inclusiveness


4. What does NLP stand for in AI?

A) Natural Language Processing
B) Native Logic Programming
C) Network Layer Processing
D) Neural Link Protocol


5. What is the role of embeddings in AI systems?

A) Compressing logs
B) Assigning IP addresses
C) Encrypting traffic
D) Representing data numerically in vector space


Solutions:

Question # 1
Answer: B
Question # 2
Answer: A
Question # 3
Answer: A
Question # 4
Answer: A
Question # 5
Answer: D

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