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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Prompt Engineering | 15% | - Defensive prompting and error mitigation - Advanced prompting techniques - Prompt design principles and best practices |
| Topic 2: AI Ethics and Security | 20% | - Responsible AI principles - AI-specific threats, risks and misinformation - Data privacy and security in AI systems - Compliance and governance frameworks |
| Topic 3: Generative AI Models | 20% | - Generative AI model families and use cases - Model selection and evaluation in AI hubs - Context windows, token limits and response management - Model hosting options and trade-offs |
| Topic 4: Data Research and Analysis | 15% | - Data collection, preparation and preprocessing - Data visualization and insight generation - Data quality, bias and validation |
| Topic 5: 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 6: Agentic AI | 15% | - Agentic AI vs Generative AI use cases - Human-in-the-loop strategies - Model Context Protocol (MCP) framework - Agent design principles and capabilities |
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問題 #22
Which AI-assisted task standardizes inconsistent date formats (e.g., MM/DD/YY and DD-MM- YYYY)?
答案：C
解題說明：
Data transformation converts inconsistent data into a consistent format, such as standardizing multiple date formats into one required representation.
問題 #23
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?
答案：D
解題說明：
Code scaffolding uses AI to generate the initial structure and boilerplate for a new component, such as a complete Python class for an API client based on a high-level description.
問題 #24
What happens when the input provided to an LLM exceeds its context window limit?
答案：D
解題說明：
When input exceeds the context window, the model cannot process all provided text at once, so earlier content may be truncated or pushed out of the active context.
問題 #25
Which factor should be considered when selecting a pre-trained model for a mobile application with limited local computational resources?
答案：D
解題說明：
Parameter count affects model size, memory usage, and compute requirements, so a smaller model is usually more suitable for a mobile application with limited local resources.
問題 #26
What is the main advantage of cloud-based AI services?
答案：D
解題說明：
Cloud AI platforms provide scalable infrastructure and elastic computing power for AI workloads.
問題 #27
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