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Cisco AI Technical Practitioner Sample Questions:

1. What does NLP stand for in AI?

A) Native Logic Programming
B) Natural Language Processing
C) Network Layer Processing
D) Neural Link Protocol

2. A practitioner is using AI to analyze customer support tickets and usage data to compare customer complaint patterns across segments. According to the 4-step EDA methodology, what is the next action after generating a high-level summary of the feedback?

A) hypothesize
B) orient
C) correlate
D) visualize

3. What is the role of embeddings in AI systems?

A) Assigning IP addresses
B) Representing data numerically in vector space
C) Compressing logs
D) Encrypting traffic

4. Why is a Human-in-the-Loop workflow essential when an AI agent has write access to a production database?

A) to allow the AI agent to automatically resolve transaction deadlocks
B) to provide administrative credentials required to bypass MFA requirements
C) to allow the AI agent to bypass the integrity constraints of the database
D) to serve as a safety gate against unintended data modifications

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

Solutions: