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Cisco 810-110 Exam Syllabus Topics:

Section	Weight	Objectives
Generative AI Models	20%	- Generative AI model families and use cases - Model hosting options and trade-offs - Model selection and evaluation in AI hubs - Context windows, token limits and response management
AI Ethics and Security	20%	- Data privacy and security in AI systems - AI-specific threats, risks and misinformation - Responsible AI principles - Compliance and governance frameworks
Data Research and Analysis	15%	- Data visualization and insight generation - Data quality, bias and validation - Data collection, preparation and preprocessing
Agentic AI	15%	- Human-in-the-loop strategies - Agent design principles and capabilities - Agentic AI vs Generative AI use cases - Model Context Protocol (MCP) framework
AI for Code and Workflow Optimization	15%	- Integration of AI tools in development processes - AI-assisted code generation and improvement - Automation and workflow enhancement
Prompt Engineering	15%	- Prompt design principles and best practices - Advanced prompting techniques - Defensive prompting and error mitigation

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Cisco AI Technical Practitioner Sample Questions (Q58-Q63):

NEW QUESTION # 58
A practitioner must reduce the financial cost of a high-volume summarization task. Which strategy addresses token-based billing?

A. increasing the model temperature
B. increasing the model sampling rate
C. minimizing the input prompt size
D. expanding the total context window

Answer: C

Explanation:
Token-based billing is driven by the number of input and output tokens processed, so reducing the prompt size lowers the total tokens consumed across high-volume summarization requests.

NEW QUESTION # 59
Why are embeddings essential to the retrieval phase of a RAG system?

A. They represent semantic meaning.
B. They compress the prompt length.
C. They reduce model hallucination.
D. They provide a keyword index.

Answer: A

Explanation:
Embeddings convert text into numerical vectors that capture semantic meaning, allowing a RAG system to retrieve content that is conceptually relevant to the user's query rather than relying only on exact keyword matches.

NEW QUESTION # 60
Which AI concern focuses on protecting sensitive information?

A. VLAN tagging
B. Packet fragmentation
C. Data privacy
D. Clock synchronization

Answer: C

Explanation:
AI systems must ensure sensitive data is securely handled and protected.

NEW QUESTION # 61
What is the role of the client in the Model Context Protocol?

A. to orchestrate interactions with servers
B. to act as a tool or service provider
C. to provide resources for task execution
D. to act as an LLM for inferencing

Answer: A

Explanation:
In the Model Context Protocol, the client manages communication between the AI application and MCP servers, coordinating requests for tools, resources, and context needed during task execution.

NEW QUESTION # 62
What is the benefit of AI Ops (AIOps) in networking?

A. Automates monitoring and incident analysis
B. Eliminates all routers
C. Removes cloud computing
D. Disables telemetry

Answer: A

Explanation:
AIOps uses AI to improve IT operations, detect anomalies, and accelerate troubleshooting.

NEW QUESTION # 63
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