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Cisco 810-110 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Prompt Engineering | 15% | - Security and safety
|
| AI Ethics and Security | - Ethical considerations in AI
| |
| Agentic AI | 20% | - AI agent design principles
|
| Data Research and Analysis | - Data collection and preparation
| |
| AI for Code and Workflow Optimization | - Workflow automation
| |
| Generative AI Models | 20% | - Model selection
|
Cisco AI Technical Practitioner Sample Questions:
1. What does NLP stand for in AI?
A) Network Layer Processing
B) Native Logic Programming
C) Natural Language Processing
D) Neural Link Protocol
2. Which design principle helps prevent an autonomous agent from looping infinitely and wasting tokens?
A) using smaller contexts
B) using known patterns
C) implementing constraints
D) removing system prompts
3. A practitioner must reduce the financial cost of a high-volume summarization task. Which strategy addresses token-based billing?
A) increasing the model sampling rate
B) increasing the model temperature
C) minimizing the input prompt size
D) expanding the total context window
4. Which activity is an agentic AI use case compared to a standard generative AI use case?
A) autonomously fixing a build
B) translating a short email
C) generating a meeting summary
D) writing a poem about routing
5. 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) The number of tokens determines the per-request cost.
B) Costs are determined by the number of API calls.
C) Tokenization increases cost by requiring additional GPU run time.
D) Tokenization has no impact because pricing is based on a flat-rate subscription.
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: C | Question # 3 Answer: C | Question # 4 Answer: A | Question # 5 Answer: A |
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