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Cisco AI Technical Practitioner Sample Questions:

1. What is the purpose of tokenization in Large Language Models (LLMs)?

A) Encrypting passwords
B) Compressing images
C) Routing packets
D) Splitting text into manageable units

2. How does context window management help control the cost of a long-running AI conversation?

A) by capping the cumulative number of input tokens sent with each new prompt
B) by increasing the context window size to reduce the total number of API calls
C) by automatically switching to a lower-cost model as the conversation history grows
D) by switching to an algorithm that reduces the character-to-token ratio

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

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

4. In supervised machine learning, what is required?

A) Only encrypted traffic
B) Random hardware failures
C) Labeled datasets
D) No data

5. What is the main advantage of cloud-based AI services?

A) Elimination of cybersecurity risks
B) Scalability and flexible compute resources
C) No need for networking
D) Unlimited free hardware

Solutions: