810-110參考資料 & 810-110學習資料

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

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最新的 Cisco AI Technical Practitioner (AITECH) 810-110 免費考試真題 (Q61-Q66):

問題 #61
Which AI-assisted task standardizes inconsistent date formats (e.g., MM/DD/YY and DD-MM- YYYY)?

答案：A

解題說明：
Data transformation converts inconsistent data into a consistent format, such as standardizing multiple date formats into one required representation.


問題 #62
In an AI-powered automation workflow, what is the function of an approval gate?

答案：B

解題說明：
An approval gate adds human review before an automated workflow performs a high-impact action, helping ensure that AI-driven decisions are checked for correctness, risk, and business impact before execution.


問題 #63
An organization has regulatory requirements that prohibit any proprietary source code from leaving the internal network. Which hosting strategy provides the highest level of data sovereignty?

答案：B

解題說明：
Local LLM deployment on internal hardware keeps proprietary source code within the organization's internal network, providing the strongest control over data location, access, and governance.


問題 #64
Which Cisco solution helps automate network operations using AI insights?

答案：D

解題說明：
Cisco DNA Center uses AI and analytics for intent-based networking and automation.


問題 #65
What is the main advantage of cloud-based AI services?

答案：B

解題說明：
Cloud AI platforms provide scalable infrastructure and elastic computing power for AI workloads.


問題 #66
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