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Cisco AI Technical Practitioner Sample Questions:

1. Why are embeddings essential to the retrieval phase of a RAG system?

A) They provide a keyword index.
B) They represent semantic meaning.
C) They reduce model hallucination.
D) They compress the prompt length.

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

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

3. In supervised machine learning, what is required?

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

4. Which activity is an agentic AI use case compared to a standard generative AI use case?

A) writing a poem about routing
B) translating a short email
C) generating a meeting summary
D) autonomously fixing a build

5. Why is defining a persona considered a best practice for technical prompt engineering?

A) It provides a pattern to emulate.
B) It provides instructions for desired action.
C) It reduces the total token usage.
D) It guides the tone and vocabulary.

Solutions: