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Cisco AI Technical Practitioner Sample Questions:

1. Which threat involves an attacker intentionally contaminating the training set of a model to influence its future behavior?

A) data poisoning
B) algorithmic bias
C) gradient inversion
D) direct prompt injection

2. 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

3. A team uses AI to scaffold a new microservice. What does this process involve?

A) creating automated deployment scripts
B) testing the final production code
C) removing redundant logic
D) generating the initial structure

4. A practitioner is solving a complex architectural problem by breaking it into four sequential prompts. Each prompt's output is fed as input into the next prompt in the sequence. Which prompt engineering technique is being used?

A) meta-prompting
B) prompt chaining
C) chain-of-thought prompting
D) few-shot prompting

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

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

Solutions: