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Cisco 810-110 Exam Syllabus Topics:

Cisco AI Technical Practitioner Sample Questions:

1. Which concept helps reduce overfitting in machine learning?

A) Disabling validation
B) Increasing random noise only
C) Ignoring datasets
D) Regularization

2. What is the purpose of a vector database in a RAG architecture?

A) to perform model weight updates
B) to allocate resources for response generation
C) to manage the context window
D) to store numerical representations of data

3. 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) visualize
C) orient
D) correlate

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

5. A user includes project background information and the specific technical constraints in a prompt.
Which principle of prompt engineering is being applied?

A) defining a persona
B) describing the situation
C) stating the purpose
D) using few-shot

Solutions: