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Cisco AI Technical Practitioner Sample Questions:

1. Why are prompts important in generative AI systems?

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

2. A practitioner must reduce the financial cost of a high-volume summarization task. Which strategy addresses token-based billing?

A) increasing the model temperature
B) expanding the total context window
C) increasing the model sampling rate
D) minimizing the input prompt size

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) Reduce GPU usage only
D) Encrypt AI datasets

4. What is an advantage of cloud-hosted API services when comparing cloud-hosted and locally hosted AI models?

A) lower network latency for all end users
B) full control over data residency and privacy
C) rapid elastic scaling for unpredictable inference demand
D) elimination of per-token operational costs

5. How does a coordinator agent function in a multi-agent AI framework?

A) It serves as the external data source that each agent queries for grounding information.
B) It replaces the need for multiple agents by handling tasks within a single reasoning loop.
C) It fine-tunes each agent's model weights to optimize performance on assigned tasks.
D) It orchestrates task delegation across specialized agents and aggregates the outputs.

Solutions: