810-110 exam dumps

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  • Exam Code: 810-110
  • Exam Name: Cisco AI Technical Practitioner
  • No. of Questions: 73 Questions and Answers
  • Updated: Sep 12, 2026

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  • Total Questions: 73
  • Updated on: Sep 12, 2026
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  • Total Questions: 73
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Cisco 810-110 Exam Syllabus Topics:

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

Cisco AI Technical Practitioner Sample Questions:

Which activity is an agentic AI use case compared to a standard generative AI use case?

  • A. translating a short email
  • B. autonomously fixing a build
  • C. generating a meeting summary
  • D. writing a poem about routing
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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Which Cisco platform provides AI-powered security analytics?

  • A. Cisco Packet Tracer
  • B. Cisco SecureX
  • C. Cisco UCS Manager only
  • D. Cisco IOS ROMMON
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

Explanation: Only visible for PrepAwayETE members. You can sign-up / login (it's free).

What is a difference between generative AI and agentic AI?

  • A. Generative AI operates autonomously and agentic AI requires a prompt for each action.
  • B. Generative AI produces single-turn responses and agentic AI executes multi-step reasoning loops.
  • C. Generative AI requires tool access and agentic AI relies on its training data.
  • D. Generative AI uses retrieval-augmented generation and agentic AI does not support external data sources.
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

Explanation: Only visible for PrepAwayETE members. You can sign-up / login (it's free).

In an AI-powered automation workflow, what is deterministic branching?

  • A. A process where the AI model autonomously selects the next step based on its internal confidence score.
  • B. A workflow state that pauses execution until a human manually determines the next step.
  • C. A decision point where the next step is dictated by specific, pre-programmed rules.
  • D. A dynamic system where branching criteria evolve over time using optimization algorithms.
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

Explanation: Only visible for PrepAwayETE members. You can sign-up / login (it's free).

Which generative AI model family should be used for identifying and summarizing technical themes across thousands of unstructured network incident reports?

  • A. diffusion models
  • B. large language models
  • C. variational autoencoders
  • D. generative adversarial networks
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

Explanation: Only visible for PrepAwayETE members. You can sign-up / login (it's free).

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