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Cisco 810-110 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| AI for Data Research and Analysis | - Data exploration and transformation
| |
| Ethics and Security | 15% | - AI security threats
|
| Agentic AI Systems | - Agent architecture
| |
| AI for Code and Workflow Optimization | - Automation workflows
| |
| Generative AI Models | 20% | - Model fundamentals and use cases
|
| Prompt Engineering | 15% | - Prompting techniques
|
Cisco AI Technical Practitioner Sample Questions:
1. 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
2. Which activity is an indirect prompt injection attack?
A) A user types a malicious command.
B) AI reads a poisoned data source.
C) The model generates a false fact.
D) A prompt forces AI to ignore safety filters.
3. An analyst needs a model that can analyze a network topology diagram and a set of configuration logs simultaneously. Which type of model should be selected?
A) diffusion model
B) generative adversarial network
C) multimodal model
D) embedding model
4. What is the primary goal of Retrieval-Augmented Generation (RAG) in AI systems?
A) Reduce GPU usage only
B) Encrypt AI datasets
C) Improve model responses with external knowledge
D) Replace neural networks
5. 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) bias mitigation
B) inclusiveness
C) system safety
D) transparency
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: B | Question # 3 Answer: C | Question # 4 Answer: C | Question # 5 Answer: D |






