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Cisco 810-110 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Generative AI Models | 20% | - Model fundamentals and use cases
|
| Topic 2: Prompt Engineering | 15% | - Prompting techniques
|
| Topic 3: AI for Data Research and Analysis | - Data exploration and transformation
| |
| Topic 4: Ethics and Security | 15% | - Responsible AI principles
|
| Topic 5: AI for Code and Workflow Optimization | - AI-assisted software development
| |
| Topic 6: Agentic AI Systems | - Agent architecture
|
Cisco AI Technical Practitioner Sample Questions:
Why is defining a persona considered a best practice for technical prompt engineering?
- A. It provides instructions for desired action.
- B. It guides the tone and vocabulary.
- C. It reduces the total token usage.
- D. It provides a pattern to emulate.
Correct Answer: B 🗳️
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Which workflow mechanism is being used when a company implements a policy where an AI agent can draft a customer email, but a human must authorize the transmission?
- A. drift monitoring
- B. data lineage
- C. approval gate
- D. injection mitigation
Correct Answer: C 🗳️
Explanation: Only visible for ActualPDF members. You can sign-up / login (it's free).
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
Correct Answer: D 🗳️
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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. metaprompting
- B. chain-of-thought
- C. zero-shot prompting
- D. few-shot prompting
Correct Answer: D 🗳️
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Which factor should be considered when selecting a pre-trained model for a mobile application with limited local computational resources?
- A. release frequency of the model
- B. response creativity level of the model
- C. parameter count of the model
- D. training duration of the model
Correct Answer: C 🗳️
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