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Cisco 810-110 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Data Research and Analysis- Data collection and preparation
  • 1. Data gathering methodologies
  • 2. Data cleaning and preprocessing
- Data analysis techniques
  • 1. Data visualization
  • 2. Statistical analysis
Topic 2: AI for Code and Workflow Optimization- Workflow automation
  • 1. Process automation
  • 2. Task optimization
- AI-assisted code development
  • 1. Code generation
  • 2. Code review and debugging
Topic 3: AI Ethics and Security- Security threats and mitigations
  • 1. Model security
  • 2. Data privacy
- Ethical considerations in AI
  • 1. Bias and fairness
  • 2. Transparency and explainability
Topic 4: Generative AI Models20%- Common use cases
  • 1. Code generation
  • 2. Text summarization
  • 3. Content creation
- Model selection
  • 1. Selection from AI hubs
  • 2. Reasoning and multimodal tasks
- Major generative model families
  • 1. Large language models (LLMs)
  • 2. Diffusion models
- Model hosting strategies
  • 1. Cost, latency, privacy, and scalability considerations
  • 2. Cloud-based vs. local deployments
- Retrieval Augmented Generation (RAG)
  • 1. Embeddings
  • 2. Vector databases
  • 3. Grounding AI outputs in external knowledge
- Context windows and token management
  • 1. Token limits
  • 2. Response management
Topic 5: Agentic AI20%- Data transformation and mapping
  • 1. Within AI Agents
- Model Context Protocol (MCP)
  • 1. MCP framework primitives
  • 2. Context in agentic AI
- Differentiation from Generative AI
  • 1. Autonomous capabilities
  • 2. Use cases comparison
- AI agent design principles
  • 1. Orchestration
  • 2. Human-in-the-loop (HITL) strategies
Topic 6: Prompt Engineering15%- Prompting techniques
  • 1. Chained prompting
  • 2. Iterative prompting
  • 3. Few-shot prompting
- Prompt structures
  • 1. Audio generation
  • 2. Text generation
  • 3. Image generation
- Security and safety
  • 1. Defensive prompting methods
  • 2. Prompt injection attacks
  • 3. Improving response accuracy
  • 4. Reducing hallucinations
- Principles and patterns
  • 1. Roles
  • 2. Constraints
  • 3. Instructions

>> Simulated 810-110 Test <<

Cisco - 810-110 - Cisco AI Technical Practitioner Latest Simulated Test

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Cisco AI Technical Practitioner Sample Questions (Q14-Q19):

NEW QUESTION # 14
When using AI to draft a technical proposal, what is the benefit of a format-agnostic strategy?

Answer: B

Explanation:
A format-agnostic strategy keeps the content independent of a specific final layout, making it easier to reuse or adapt the same proposal material for different formats such as email, slides, documents, or reports.


NEW QUESTION # 15
Which Cisco solution helps automate network operations using AI insights?

Answer: C

Explanation:
Cisco DNA Center uses AI and analytics for intent-based networking and automation.


NEW QUESTION # 16
Which metric is commonly used to evaluate classification models?

Answer: C

Explanation:
Accuracy measures how many predictions were correct out of total predictions.


NEW QUESTION # 17
Which Cisco technology is commonly associated with network observability and telemetry?

Answer: D

Explanation:
NetFlow provides visibility into traffic flows and is widely used for monitoring, analytics, and AI- driven operations.


NEW QUESTION # 18
Why is a Human-in-the-Loop workflow essential when an AI agent has write access to a production database?

Answer: D

Explanation:
A Human-in-the-Loop workflow adds human approval before the agent performs high-risk write operations, helping prevent accidental, incorrect, or harmful changes to production data.


NEW QUESTION # 19
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