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Cisco 810-110 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: AI for Code and Workflow Optimization | - Workflow automation
| |
| Topic 2: Data Research and Analysis | - Data collection and preparation
| |
| Topic 3: Prompt Engineering | 15% | - Security and safety
|
| Topic 4: Generative AI Models | 20% | - Major generative model families
|
| Topic 5: Agentic AI | 20% | - Model Context Protocol (MCP)
|
| Topic 6: AI Ethics and Security | - Ethical considerations in AI
|
Cisco AI Technical Practitioner Sample Questions:
1. Which approach protects PII when utilizing a public AI service for data analysis?
A) encrypting the data payload during transit to the AI service provider
B) ensuring the AI provider maintains industry-standard SOC 2 compliance
C) utilizing system prompts to instruct the AI to ignore sensitive data fields
D) anonymizing or redacting PH from the dataset before transmitting the request
2. What is the purpose of a vector database in a RAG architecture?
A) to perform model weight updates
B) to allocate resources for response generation
C) to manage the context window
D) to store numerical representations of data
3. Why is a Human-in-the-Loop requirement essential for AI governance in high-stakes environments like healthcare or finance?
A) to increase the speed of AI response
B) to ensure the validity of AI decisions
C) to protect sensitive customer data
D) to prevent unauthorized access to data
4. Which algorithm category is used when no labels exist in data?
A) Reinforcement learning only
B) Unsupervised learning
C) Supervised learning
D) Deterministic routing
5. 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) continuous integration optimization
B) code scaffolding
C) AI-assisted debugging
D) automated unit testing
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: D | Question # 3 Answer: B | Question # 4 Answer: B | Question # 5 Answer: C |



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