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Cisco 810-110 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: AI for Data Research and Analysis | - Data exploration and transformation
| |
| Topic 2: Ethics and Security | 15% | - Data privacy and governance
|
| Topic 3: Prompt Engineering | 15% | - Security and robustness
|
| Topic 4: AI for Code and Workflow Optimization | - Automation workflows
| |
| Topic 5: Generative AI Models | 20% | - Context and retrieval systems
|
| Topic 6: Agentic AI Systems | - Agent architecture
|
Cisco AI Technical Practitioner Sample Questions:
1. Which AI-driven activity involves a developer providing runtime error logs to a model to receive an explanation of the root cause and a suggested fix?
A) continuous integration optimization
B) AI-assisted debugging
C) automated unit testing
D) code scaffolding
2. Which design principle helps prevent an autonomous agent from looping infinitely and wasting tokens?
A) using known patterns
B) implementing constraints
C) using smaller contexts
D) removing system prompts
3. Why is a Human-in-the-Loop requirement essential for AI governance in high-stakes environments like healthcare or finance?
A) to increase the speed of AI response
B) to protect sensitive customer data
C) to prevent unauthorized access to data
D) to ensure the validity of AI decisions
4. What is a corporate data privacy risk when using a public AI chatbot?
A) The AI will provide biased technical advice.
B) The data will be encrypted at rest instead of in transit.
C) The input data may be used for model training.
D) The AI will provide hallucinated technical specifications.
5. What is the purpose of tokenization in Large Language Models (LLMs)?
A) Compressing images
B) Splitting text into manageable units
C) Routing packets
D) Encrypting passwords
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: B | Question # 3 Answer: D | Question # 4 Answer: C | Question # 5 Answer: B |







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