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Cisco 810-110 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Data Research and Analysis | - Data collection and preparation
| |
| Agentic AI | 20% | - Data transformation and mapping
|
| AI for Code and Workflow Optimization | - Workflow automation
| |
| AI Ethics and Security | - Security threats and mitigations
| |
| Prompt Engineering | 15% | - Security and safety
|
| Generative AI Models | 20% | - Major generative model families
|
Cisco AI Technical Practitioner Sample Questions:
1. What is the primary goal of Retrieval-Augmented Generation (RAG) in AI systems?
A) Encrypt AI datasets
B) Reduce GPU usage only
C) Improve model responses with external knowledge
D) Replace neural networks
2. Which metric is commonly used to evaluate classification models?
A) Accuracy
B) Packet TTL
C) Voltage
D) Throughput only
3. Which activity occurs when a developer uses AI to generate a complete Python class for a new API client based on a high-level description?
A) executing legacy code refactoring
B) implementing predictive function logic
C) providing inline co-pilot assistance
D) performing code scaffolding
4. What is the role of an MCP server in the MCP open standard?
A) to expose tools and resources to an AI model
B) to provide the GUI for the end-user interaction
C) to route requests between different AI providers
D) to host the LLM and perform token inference
5. What is fine-tuning in generative AI?
A) Replacing CPUs
B) Formatting storage drives
C) Encrypting prompts
D) Training a pre-trained model on specialized data
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: A | Question # 3 Answer: D | Question # 4 Answer: A | Question # 5 Answer: D |







