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Cisco 810-110 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Prompt Engineering	15%	- Defensive prompting and error mitigation - Prompt design principles and best practices - Advanced prompting techniques
Topic 2: AI for Code and Workflow Optimization	15%	- Automation and workflow enhancement - AI-assisted code generation and improvement - Integration of AI tools in development processes
Topic 3: AI Ethics and Security	20%	- Compliance and governance frameworks - Responsible AI principles - AI-specific threats, risks and misinformation - Data privacy and security in AI systems
Topic 4: Generative AI Models	20%	- Generative AI model families and use cases - Model selection and evaluation in AI hubs - Model hosting options and trade-offs - Context windows, token limits and response management
Topic 5: Data Research and Analysis	15%	- Data collection, preparation and preprocessing - Data visualization and insight generation - Data quality, bias and validation
Topic 6: Agentic AI	15%	- Agentic AI vs Generative AI use cases - Model Context Protocol (MCP) framework - Human-in-the-loop strategies - Agent design principles and capabilities

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Cisco AI Technical Practitioner Sample Questions (Q24-Q29):

NEW QUESTION # 24
What is the role of the client in the Model Context Protocol?

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

Answer: B

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 # 25
A practitioner is estimating the operational cost of integrating a cloud-hosted LLM API into an application. How does tokenization influence the cost of using this API?

A. The number of tokens determines the per-request cost.
B. Tokenization has no impact because pricing is based on a flat-rate subscription.
C. Tokenization increases cost by requiring additional GPU run time.
D. Costs are determined by the number of API calls.

Answer: A

Explanation:
Cloud-hosted LLM APIs commonly charge based on the number of input and output tokens processed, so tokenization directly affects the per-request cost.

NEW QUESTION # 26
Which Cisco platform provides AI-powered security analytics?

A. Cisco SecureX
B. Cisco Packet Tracer
C. Cisco IOS ROMMON
D. Cisco UCS Manager only

Answer: A

Explanation:
Cisco SecureX integrates security visibility, analytics, and automation using AI-driven insights.

NEW QUESTION # 27
What is the primary goal of Retrieval-Augmented Generation (RAG) in AI systems?

A. Replace neural networks
B. Improve model responses with external knowledge
C. Encrypt AI datasets
D. Reduce GPU usage only

Answer: B

Explanation:
RAG combines a large language model with external data retrieval systems so the model can answer using updated and domain-specific knowledge.

NEW QUESTION # 28
How does AI support exploratory data analysis when working with large, unstructured datasets?

A. by identifying patterns and groupings
B. by tuning inference parameters
C. by compressing the datasets
D. by performing bit-by-bit reconstruction

Answer: A

Explanation:
AI supports exploratory data analysis by detecting patterns, clusters, themes, and relationships in large unstructured datasets, helping practitioners understand the data before deeper analysis.

NEW QUESTION # 29
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