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Cisco 810-110 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| AI for Data Research and Analysis | - Data exploration and transformation
| |
| Prompt Engineering | 15% | - Security and robustness
|
| Agentic AI Systems | - Agent architecture
| |
| Generative AI Models | 20% | - Model hosting and architecture
|
| Ethics and Security | 15% | - Responsible AI principles
|
| AI for Code and Workflow Optimization | - AI-assisted software development
|
Cisco AI Technical Practitioner Sample Questions:
1. Why are prompts important in generative AI systems?
A) They determine model behavior and output quality
B) They replace training datasets
C) They eliminate hallucinations completely
D) They encrypt AI hardware
2. Why is defining a persona considered a best practice for technical prompt engineering?
A) It guides the tone and vocabulary.
B) It provides a pattern to emulate.
C) It reduces the total token usage.
D) It provides instructions for desired action.
3. What is the purpose of tokenization in Large Language Models (LLMs)?
A) Routing packets
B) Encrypting passwords
C) Compressing images
D) Splitting text into manageable units
4. Which activity occurs when a developer uses AI to generate a complete Python class for a new API client based on a high-level description?
A) providing inline co-pilot assistance
B) executing legacy code refactoring
C) performing code scaffolding
D) implementing predictive function logic
5. Which generative AI model family should be used for identifying and summarizing technical themes across thousands of unstructured network incident reports?
A) generative adversarial networks
B) variational autoencoders
C) diffusion models
D) large language models
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: A | Question # 3 Answer: D | Question # 4 Answer: C | Question # 5 Answer: D |


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