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Cisco 810-110 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| AI Ethics and Security | - Ethical considerations in AI
| |
| Prompt Engineering | 15% | - Prompt structures
|
| Agentic AI | 20% | - Differentiation from Generative AI
|
| Generative AI Models | 20% | - Model hosting strategies
|
| AI for Code and Workflow Optimization | - Workflow automation
| |
| Data Research and Analysis | - Data analysis techniques
|
Cisco AI Technical Practitioner Sample Questions:
1. A practitioner must reduce the financial cost of a high-volume summarization task. Which strategy addresses token-based billing?
A) expanding the total context window
B) minimizing the input prompt size
C) increasing the model temperature
D) increasing the model sampling rate
2. In an AI-powered automation workflow, what is the function of an approval gate?
A) to apply human judgement before high-impact actions are executed
B) to trigger automated completion notifications to project stakeholders
C) to automatically block deployments if system health alerts are active
D) to ensure the internal logic of AI remains closed for modification
3. 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) transparency
B) system safety
C) bias mitigation
D) inclusiveness
4. What does NLP stand for in AI?
A) Natural Language Processing
B) Native Logic Programming
C) Network Layer Processing
D) Neural Link Protocol
5. What is the role of embeddings in AI systems?
A) Compressing logs
B) Assigning IP addresses
C) Encrypting traffic
D) Representing data numerically in vector space
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: A | Question # 3 Answer: A | Question # 4 Answer: A | Question # 5 Answer: D |

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