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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Agentic AI | 15% | - Agentic AI vs Generative AI use cases - Model Context Protocol (MCP) framework - Agent design principles and capabilities - Human-in-the-loop strategies |
| Topic 2: AI Ethics and Security | 20% | - Compliance and governance frameworks - Data privacy and security in AI systems - AI-specific threats, risks and misinformation - Responsible AI principles |
| Topic 3: Generative AI Models | 20% | - Context windows, token limits and response management - Model hosting options and trade-offs - Model selection and evaluation in AI hubs - Generative AI model families and use cases |
| Topic 4: Prompt Engineering | 15% | - Advanced prompting techniques - Defensive prompting and error mitigation - Prompt design principles and best practices |
| Topic 5: Data Research and Analysis | 15% | - Data visualization and insight generation - Data quality, bias and validation - Data collection, preparation and preprocessing |
| Topic 6: AI for Code and Workflow Optimization | 15% | - Automation and workflow enhancement - Integration of AI tools in development processes - AI-assisted code generation and improvement |
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問題 #65
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?
答案：C
解題說明：
AI-assisted debugging uses error logs, stack traces, and runtime context to help identify the root cause of a failure and suggest a corrective fix.
問題 #66
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?
答案：D
解題說明：
Cloud-hosted LLM APIs commonly charge based on the number of input and output tokens processed, so tokenization directly affects the per-request cost.
問題 #67
A practitioner must reduce the financial cost of a high-volume summarization task. Which strategy addresses token-based billing?
答案：A
解題說明：
Token-based billing is driven by the number of input and output tokens processed, so reducing the prompt size lowers the total tokens consumed across high-volume summarization requests.
問題 #68
Which AI concern focuses on protecting sensitive information?
答案：B
解題說明：
AI systems must ensure sensitive data is securely handled and protected.
問題 #69
What does NLP stand for in AI?
答案：D
解題說明：
NLP enables computers to understand and generate human language.
問題 #70
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