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Cisco AI Technical Practitioner Sample Questions:

1. A developer provides AI with three examples of a log entry mapped to a specific error category before asking AI to categorize a new log entry. Which technique is being used?

A) zero-shot prompting
B) few-shot prompting
C) chain-of-thought
D) metaprompting

2. Which risk occurs when an AI model provides an outdated technical specification because it was trained before the new standard was released?

A) disinformation
B) data poisoning
C) misinformation
D) knowledge cut-off

3. An analyst needs a model that can analyze a network topology diagram and a set of configuration logs simultaneously. Which type of model should be selected?

A) generative adversarial network
B) embedding model
C) multimodal model
D) diffusion model

4. What happens when the input provided to an LLM exceeds its context window limit?

A) The model switches to a different algorithm.
B) The model loses the earliest part of the text.
C) The model increases its context window size.
D) The model caches the overflow data.

5. A practitioner is estimating the operational cost of integrating a cloud-hosted LLM API into an application. How does tokenization influence the cost of using this API?

A) Tokenization has no impact because pricing is based on a flat-rate subscription.
B) The number of tokens determines the per-request cost.
C) Costs are determined by the number of API calls.
D) Tokenization increases cost by requiring additional GPU run time.

Solutions: