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Cisco 810-110 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Ethics and Security | 15% | - Responsible AI principles
|
| Prompt Engineering | 15% | - Prompting techniques
|
| Generative AI Models | 20% | - Context and retrieval systems
|
| AI for Data Research and Analysis | - Data exploration and transformation
| |
| AI for Code and Workflow Optimization | - Automation workflows
| |
| Agentic AI Systems | - Agent architecture
|
Cisco AI Technical Practitioner Sample Questions:
1. Which algorithm category is used when no labels exist in data?
A) Supervised learning
B) Unsupervised learning
C) Deterministic routing
D) Reinforcement learning only
2. Which Cisco AI capability helps detect abnormal network behavior?
A) Manual packet counting
B) AI-driven anomaly detection
C) Static routing
D) BIOS recovery mode
3. A practitioner uses self-consistency by running the same prompt three times and comparing the results. What is the goal of this strategy?
A) to bypass the context window
B) to verify the output reliability
C) to increase the response speed
D) to increase the model creativity
4. What is the role of embeddings in AI systems?
A) Encrypting traffic
B) Assigning IP addresses
C) Representing data numerically in vector space
D) Compressing logs
5. In an AI-powered automation workflow, what is the function of an approval gate?
A) to automatically block deployments if system health alerts are active
B) to trigger automated completion notifications to project stakeholders
C) to ensure the internal logic of AI remains closed for modification
D) to apply human judgement before high-impact actions are executed
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: B | Question # 3 Answer: B | Question # 4 Answer: C | Question # 5 Answer: D |
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