810-110考試題庫–專業的810-110認證題學習資料

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Cisco 810-110 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|
| Topic 1: AI for Code and Workflow Optimization | | - Automation workflows
- 1. API integration basics
- 2. Workflow orchestration concepts
- AI-assisted software development
- 1. SDLC integration
- 2. Code generation and debugging
|
| Topic 2: AI for Data Research and Analysis | | - Data exploration and transformation
- 1. Insight generation and validation
- 2. AI-assisted data cleaning
|
| Topic 3: Prompt Engineering | 15% | - Prompt design principles
- 1. Roles, instructions, constraints
- Security and robustness
- 1. Mitigation and defensive prompting
- 2. Prompt injection risks
- Prompting techniques
- 1. Chained and iterative prompting
- 2. Few-shot prompting
|
| Topic 4: Generative AI Models | 20% | - Model fundamentals and use cases
- 1. Use cases: summarization, code generation, content creation
- 2. LLMs and diffusion models overview
- Model hosting and architecture
- 1. Latency, cost, privacy considerations
- 2. Cloud vs local deployment trade-offs
- Context and retrieval systems
- 1. Context windows and token limits
- 2. RAG, embeddings, vector databases
|
| Topic 5: Ethics and Security | 15% | - Data privacy and governance
- 1. Secure AI data handling
- Responsible AI principles
- 1. Bias mitigation
- 2. Fairness, transparency, accountability
- AI security threats
- 1. AI-specific attack surfaces
- 2. Misinformation and hallucinations
|
| Topic 6: Agentic AI Systems | | - Agent architecture
- 1. Multi-step reasoning workflows
- 2. Autonomous agents and orchestration
|
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最新的 Cisco AI Technical Practitioner (AITECH) 810-110 免費考試真題 (Q64-Q69):
問題 #64
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 encrypt the payload before it is sent to the external service
- C. to define the required parameters and data types the agent must return
- D. to reduce the token count of the agent's system prompt
答案:C
解題說明:
A JSON schema defines the structure, required fields, and data types for tool calls, helping the agent provide valid inputs or outputs that the external tool can process reliably.
問題 #65
Which approach protects PII when utilizing a public AI service for data analysis?
- A. anonymizing or redacting PH from the dataset before transmitting the request
- B. ensuring the AI provider maintains industry-standard SOC 2 compliance
- C. utilizing system prompts to instruct the AI to ignore sensitive data fields
- D. encrypting the data payload during transit to the AI service provider
答案:A
解題說明:
Anonymizing or redacting sensitive personal information before sending data to a public AI service prevents PII from being exposed outside the organization's controlled environment.
問題 #66
What is the role of the client in the Model Context Protocol?
- A. to act as a tool or service provider
- B. to orchestrate interactions with servers
- C. to act as an LLM for inferencing
- D. to provide resources for task execution
答案:B
問題 #67
A marketing team must generate high-fidelity images for a new product launch. Which model is designed to handle this task through the process of iterative noise reduction?
- A. large language models
- B. diffusion models
- C. generative adversarial networks
- D. variational autoencoders
答案:B
解題說明:
Diffusion models generate high-fidelity images by starting from noise and iteratively denoising it over multiple steps until a coherent image is produced.
問題 #68
What is the role of an MCP server in the MCP open standard?
- A. to provide the GUI for the end-user interaction
- B. to route requests between different AI providers
- C. to expose tools and resources to an AI model
- D. to host the LLM and perform token inference
答案:C
解題說明:
An MCP server exposes external tools, data sources, and resources through a standardized interface so an AI model or agent can access capabilities beyond its built-in training data.
問題 #69
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