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Cisco AI Technical Practitioner Sample Questions:

1. Why are prompts important in generative AI systems?

A) They determine model behavior and output quality
B) They eliminate hallucinations completely
C) They replace training datasets
D) They encrypt AI hardware

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

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

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

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

4. How does context window management help control the cost of a long-running AI conversation?

A) by capping the cumulative number of input tokens sent with each new prompt
B) by automatically switching to a lower-cost model as the conversation history grows
C) by switching to an algorithm that reduces the character-to-token ratio
D) by increasing the context window size to reduce the total number of API calls

5. A user includes project background information and the specific technical constraints in a prompt.
Which principle of prompt engineering is being applied?

A) defining a persona
B) stating the purpose
C) describing the situation
D) using few-shot

Solutions: