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Cisco 810-110 Exam Syllabus Topics:

Cisco AI Technical Practitioner Sample Questions:

1. What is a difference between generative AI and agentic AI?

A) Generative AI requires tool access and agentic AI relies on its training data.
B) Generative AI uses retrieval-augmented generation and agentic AI does not support external data sources.
C) Generative AI produces single-turn responses and agentic AI executes multi-step reasoning loops.
D) Generative AI operates autonomously and agentic AI requires a prompt for each action.

2. In supervised machine learning, what is required?

A) Only encrypted traffic
B) Random hardware failures
C) Labeled datasets
D) No data

3. Which factor should be considered when selecting a pre-trained model for a mobile application with limited local computational resources?

A) response creativity level of the model
B) training duration of the model
C) release frequency of the model
D) parameter count of the model

4. What is the primary goal of Retrieval-Augmented Generation (RAG) in AI systems?

A) Reduce GPU usage only
B) Replace neural networks
C) Encrypt AI datasets
D) Improve model responses with external knowledge

5. What is the role of embeddings in AI systems?

A) Encrypting traffic
B) Compressing logs
C) Assigning IP addresses
D) Representing data numerically in vector space

Solutions: