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Cisco 810-110 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| AI for Data Research and Analysis | - Data exploration and transformation
| |
| Prompt Engineering | 15% | - Prompt design principles
|
| Ethics and Security | 15% | - Data privacy and governance
|
| Agentic AI Systems | - Agent architecture
| |
| Generative AI Models | 20% | - Model fundamentals and use cases
|
| AI for Code and Workflow Optimization | - AI-assisted software development
|
Cisco AI Technical Practitioner Sample Questions:
1. Which factor should be considered when selecting a pre-trained model for a mobile application with limited local computational resources?
A) parameter count of the model
B) response creativity level of the model
C) training duration of the model
D) release frequency of the model
2. Which algorithm category is used when no labels exist in data?
A) Supervised learning
B) Reinforcement learning only
C) Unsupervised learning
D) Deterministic routing
3. What is the role of embeddings in AI systems?
A) Assigning IP addresses
B) Encrypting traffic
C) Compressing logs
D) Representing data numerically in vector space
4. Why are prompts important in generative AI systems?
A) They eliminate hallucinations completely
B) They determine model behavior and output quality
C) They replace training datasets
D) They encrypt AI hardware
5. Which activity is an agentic AI use case compared to a standard generative AI use case?
A) writing a poem about routing
B) translating a short email
C) autonomously fixing a build
D) generating a meeting summary
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: C | Question # 3 Answer: D | Question # 4 Answer: B | Question # 5 Answer: C |
