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Cisco AI Technical Practitioner Sample Questions:

1. Which strategy should be used to mitigate hallucinations when asking an AI to summarize a specific technical document?

A) removing negative constraints
B) requesting citations for the summary
C) using a short system prompt
D) increasing the model creativity

2. How does AI support exploratory data analysis when working with large, unstructured datasets?

A) by performing bit-by-bit reconstruction
B) by compressing the datasets
C) by tuning inference parameters
D) by identifying patterns and groupings

3. Which generative AI model family should be used for identifying and summarizing technical themes across thousands of unstructured network incident reports?

A) large language models
B) diffusion models
C) generative adversarial networks
D) variational autoencoders

4. What is the role of an MCP server in the MCP open standard?

A) to host the LLM and perform token inference
B) to expose tools and resources to an AI model
C) to route requests between different AI providers
D) to provide the GUI for the end-user interaction

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

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

Solutions: