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Cisco 810-110 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Generative AI Models | 20% | - Retrieval Augmented Generation (RAG)
|
| Data Research and Analysis | - Data collection and preparation
| |
| Agentic AI | 20% | - AI agent design principles
|
| AI Ethics and Security | - Ethical considerations in AI
| |
| AI for Code and Workflow Optimization | - AI-assisted code development
| |
| Prompt Engineering | 15% | - Security and safety
|
Cisco AI Technical Practitioner Sample Questions:
1. What is an advantage of cloud-hosted API services when comparing cloud-hosted and locally hosted AI models?
A) rapid elastic scaling for unpredictable inference demand
B) lower network latency for all end users
C) elimination of per-token operational costs
D) full control over data residency and privacy
2. Which action demonstrates the principle of fairness in a generative AI deployment?
A) requiring users to sign Acceptable Use Policies
B) auditing model outputs for bias
C) redacting PII from the training dataset
D) hosting the model in a carbon-neutral data center
3. What does NLP stand for in AI?
A) Network Layer Processing
B) Neural Link Protocol
C) Natural Language Processing
D) Native Logic Programming
4. What is aggregation bias in the context of AI-assisted data analysis?
A) when a summary masks subpatterns
B) when AI fails to combine conflicting patterns
C) when data is omitted due to incompatible formats
D) when AI uses summary statistics instead of raw data
5. Which strategy should be used to mitigate hallucinations when asking an AI to summarize a specific technical document?
A) removing negative constraints
B) increasing the model creativity
C) requesting citations for the summary
D) using a short system prompt
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: B | Question # 3 Answer: C | Question # 4 Answer: A | Question # 5 Answer: C |
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