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Cisco 810-110 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: AI for Code and Workflow Optimization | 15% | - AI-assisted code generation and improvement - Automation and workflow enhancement - Integration of AI tools in development processes |
| Topic 2: Data Research and Analysis | 15% | - Data quality, bias and validation - Data visualization and insight generation - Data collection, preparation and preprocessing |
| Topic 3: Generative AI Models | 20% | - Context windows, token limits and response management - Model selection and evaluation in AI hubs - Generative AI model families and use cases - Model hosting options and trade-offs |
| Topic 4: Agentic AI | 15% | - Agent design principles and capabilities - Model Context Protocol (MCP) framework - Agentic AI vs Generative AI use cases - Human-in-the-loop strategies |
| Topic 5: AI Ethics and Security | 20% | - AI-specific threats, risks and misinformation - Responsible AI principles - Data privacy and security in AI systems - Compliance and governance frameworks |
| Topic 6: Prompt Engineering | 15% | - Prompt design principles and best practices - Advanced prompting techniques - Defensive prompting and error mitigation |
Cisco AI Technical Practitioner Sample Questions:
1. Which activity is an indirect prompt injection attack?
A) AI reads a poisoned data source.
B) A user types a malicious command.
C) A prompt forces AI to ignore safety filters.
D) The model generates a false fact.
2. How does AI support exploratory data analysis when working with large, unstructured datasets?
A) by performing bit-by-bit reconstruction
B) by identifying patterns and groupings
C) by tuning inference parameters
D) by compressing the datasets
3. Which factor should be considered when selecting a pre-trained model for a mobile application with limited local computational resources?
A) parameter count of the model
B) release frequency of the model
C) response creativity level of the model
D) training duration of the model
4. A team uses AI to scaffold a new microservice. What does this process involve?
A) testing the final production code
B) creating automated deployment scripts
C) removing redundant logic
D) generating the initial structure
5. What does NLP stand for in AI?
A) Natural Language Processing
B) Native Logic Programming
C) Neural Link Protocol
D) Network Layer Processing
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: B | Question # 3 Answer: A | Question # 4 Answer: D | Question # 5 Answer: A |
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