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Cisco AI Technical Practitioner Sample Questions:

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

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

2. In an AI-powered automation workflow, what is deterministic branching?

A) A workflow state that pauses execution until a human manually determines the next step.
B) A decision point where the next step is dictated by specific, pre-programmed rules.
C) A dynamic system where branching criteria evolve over time using optimization algorithms.
D) A process where the AI model autonomously selects the next step based on its internal confidence score.

3. Which AI model type is best suited for image recognition tasks?

A) Convolutional Neural Network (CNN)
B) Linear Regression
C) Decision Tree only
D) K-Means

4. What is a corporate data privacy risk when using a public AI chatbot?

A) The AI will provide biased technical advice.
B) The data will be encrypted at rest instead of in transit.
C) The input data may be used for model training.
D) The AI will provide hallucinated technical specifications.

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: