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Cisco 810-110 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Ethics and Security	15%	- Data privacy and governance 1. Secure AI data handling - AI security threats 1. Misinformation and hallucinations 2. AI-specific attack surfaces - Responsible AI principles 1. Fairness, transparency, accountability 2. Bias mitigation
Topic 2: Prompt Engineering	15%	- Security and robustness 1. Prompt injection risks 2. Mitigation and defensive prompting - Prompt design principles 1. Roles, instructions, constraints - Prompting techniques 1. Chained and iterative prompting 2. Few-shot prompting
Topic 3: 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. RAG, embeddings, vector databases 2. Context windows and token limits
Topic 4: AI for Data Research and Analysis		- Data exploration and transformation 1. Insight generation and validation 2. AI-assisted data cleaning
Topic 5: AI for Code and Workflow Optimization		- Automation workflows 1. API integration basics 2. Workflow orchestration concepts - AI-assisted software development 1. Code generation and debugging 2. SDLC integration
Topic 6: Agentic AI Systems		- Agent architecture 1. Multi-step reasoning workflows 2. Autonomous agents and orchestration

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Cisco AI Technical Practitioner Sample Questions (Q10-Q15):

NEW QUESTION # 10
What is the purpose of a vector database in a RAG architecture?

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

Answer: D

Explanation:
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.

NEW QUESTION # 11
Which algorithm category is used when no labels exist in data?

A. Unsupervised learning
B. Reinforcement learning only
C. Supervised learning
D. Deterministic routing

Answer: A

Explanation:
Unsupervised learning discovers patterns or groupings without labeled outputs.

NEW QUESTION # 12
Which protocol is commonly used for streaming telemetry in modern networks?

A. ARP
B. gRPC
C. FTP
D. Telnet

Answer: B

Explanation:
gRPC supports efficient real-time telemetry streaming in modern network automation environments.

NEW QUESTION # 13
What is a use case for generative AI in the testing phase of the software development lifecycle?

A. drafting user stories
B. generating automated documentation
C. generating synthetic test data
D. performing static code analysis

Answer: C

Explanation:
Generative AI can create synthetic test data that simulates realistic inputs and edge cases, helping validate application behavior during the testing phase without relying only on production data.

NEW QUESTION # 14
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 host the LLM and perform token inference
C. to expose tools and resources to an AI model
D. to route requests between different AI providers

Answer: C

Explanation:
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.

NEW QUESTION # 15
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