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Cisco 810-110 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Generative AI Models | 20% | - Retrieval Augmented Generation (RAG)
|
| AI Ethics and Security | - Ethical considerations in AI
| |
| Data Research and Analysis | - Data collection and preparation
| |
| Prompt Engineering | 15% | - Prompting techniques
|
| Agentic AI | 20% | - Data transformation and mapping
|
| AI for Code and Workflow Optimization | - Workflow automation
|
Cisco AI Technical Practitioner Sample Questions:
1. An organization has regulatory requirements that prohibit any proprietary source code from leaving the internal network. Which hosting strategy provides the highest level of data sovereignty?
A) local LLM deployment on internal hardware
B) cloud-based API with Zero Data Retention
C) hybrid deployment with cloud-based backup
D) managed SaaS AI platform with SOC 2 audit
2. What is the purpose of a vector database in a RAG architecture?
A) to manage the context window
B) to allocate resources for response generation
C) to perform model weight updates
D) to store numerical representations of data
3. What does NLP stand for in AI?
A) Native Logic Programming
B) Neural Link Protocol
C) Network Layer Processing
D) Natural Language Processing
4. A company discloses to its users that their support tickets are being summarized by an AI model.
Which responsible AI principle does this action support?
A) inclusiveness
B) bias mitigation
C) system safety
D) transparency
5. Which action demonstrates the principle of fairness in a generative AI deployment?
A) hosting the model in a carbon-neutral data center
B) requiring users to sign Acceptable Use Policies
C) auditing model outputs for bias
D) redacting PII from the training dataset
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: D | Question # 3 Answer: D | Question # 4 Answer: D | Question # 5 Answer: C |
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