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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Agentic AI | 15% | - Agentic AI vs Generative AI use cases - Agent design principles and capabilities - Human-in-the-loop strategies - Model Context Protocol (MCP) framework |
| Topic 2: AI Ethics and Security | 20% | - Compliance and governance frameworks - AI-specific threats, risks and misinformation - Data privacy and security in AI systems - Responsible AI principles |
| Topic 3: Data Research and Analysis | 15% | - Data collection, preparation and preprocessing - Data quality, bias and validation - Data visualization and insight generation |
| Topic 4: 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 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: Prompt Engineering | 15% | - Advanced prompting techniques - Defensive prompting and error mitigation - Prompt design principles and best practices |
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NEW QUESTION # 64
A user includes project background information and the specific technical constraints in a prompt.
Which principle of prompt engineering is being applied?
Answer: C
Explanation:
Describing the situation means providing relevant context, background information, and constraints so the AI can generate a response that fits the specific scenario.
NEW QUESTION # 65
In supervised machine learning, what is required?
Answer: B
Explanation:
Supervised learning trains models using labeled input-output pairs.
NEW QUESTION # 66
Which role does AI play in assisting with the refactoring of software code?
Answer: B
Explanation:
AI-assisted refactoring helps analyze existing code to identify design flaws, simplify structure, improve readability, and maintain behavior while making the code easier to maintain.
NEW QUESTION # 67
What is hallucination in generative AI?
Answer: C
Explanation:
Hallucination occurs when an AI confidently produces false or misleading outputs.
NEW QUESTION # 68
What is a difference between generative AI and agentic AI?
Answer: A
Explanation:
Generative AI primarily creates content or responses from a prompt, while agentic AI can plan, reason, use tools, and execute multi-step workflows toward a goal.
NEW QUESTION # 69
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