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Cisco 810-110 Exam Syllabus Topics:

Section	Weight	Objectives
Agentic AI Systems		- Agent architecture 1. Multi-step reasoning workflows 2. Autonomous agents and orchestration
AI for Code and Workflow Optimization		- Automation workflows 1. Workflow orchestration concepts 2. API integration basics - AI-assisted software development 1. Code generation and debugging 2. SDLC integration
AI for Data Research and Analysis		- Data exploration and transformation 1. Insight generation and validation 2. AI-assisted data cleaning
Ethics and Security	15%	- Responsible AI principles 1. Fairness, transparency, accountability 2. Bias mitigation - Data privacy and governance 1. Secure AI data handling - AI security threats 1. Misinformation and hallucinations 2. AI-specific attack surfaces
Generative AI Models	20%	- Model fundamentals and use cases 1. LLMs and diffusion models overview 2. Use cases: summarization, code generation, content creation - Model hosting and architecture 1. Cloud vs local deployment trade-offs 2. Latency, cost, privacy considerations - Context and retrieval systems 1. RAG, embeddings, vector databases 2. Context windows and token limits
Prompt Engineering	15%	- Security and robustness 1. Mitigation and defensive prompting 2. Prompt injection risks - Prompt design principles 1. Roles, instructions, constraints - Prompting techniques 1. Chained and iterative prompting 2. Few-shot prompting

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Cisco AI Technical Practitioner 認定 810-110 試験問題 (Q26-Q31):

質問 # 26
Which AI-driven activity involves a developer providing runtime error logs to a model to receive an explanation of the root cause and a suggested fix?

A. automated unit testing
B. AI-assisted debugging
C. continuous integration optimization
D. code scaffolding

正解：B

解説：
AI-assisted debugging uses error logs, stack traces, and runtime context to help identify the root cause of a failure and suggest a corrective fix.

質問 # 27
Which Cisco technology is commonly associated with network observability and telemetry?

A. RIP v1
B. VLAN Trunking Protocol only
C. Spanning Tree Protocol
D. NetFlow

正解：D

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

質問 # 28
What is the purpose of a vector database in a RAG architecture?

A. to allocate resources for response generation
B. to manage the context window
C. to store numerical representations of data
D. to perform model weight updates

正解：C

解説：
A vector database stores embeddings, which are numerical representations of data, so a RAG system can retrieve semantically relevant information for grounding the model's response.

質問 # 29
In an AI-powered automation workflow, what is deterministic branching?

A. A workflow state that pauses execution until a human manually determines the next step.
B. A process where the AI model autonomously selects the next step based on its internal confidence score.
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.

正解：C

解説：
Deterministic branching uses predefined rules or conditions to decide the next workflow step, making the path predictable and repeatable rather than model-driven or manually selected.

質問 # 30
What is aggregation bias in the context of AI-assisted data analysis?

A. when AI fails to combine conflicting patterns
B. when a summary masks subpatterns
C. when data is omitted due to incompatible formats
D. when AI uses summary statistics instead of raw data

正解：B

解説：
Aggregation bias occurs when summarized or combined data hides meaningful differences across subgroups, causing important subpatterns to be missed.

質問 # 31
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