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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Prompt Engineering | 15% | - Defensive prompting and error mitigation - Prompt design principles and best practices - Advanced prompting techniques |
| Topic 2: Generative AI Models | 20% | - Model hosting options and trade-offs - Model selection and evaluation in AI hubs - Generative AI model families and use cases - Context windows, token limits and response management |
| Topic 3: Data Research and Analysis | 15% | - Data visualization and insight generation - Data collection, preparation and preprocessing - Data quality, bias and validation |
| Topic 4: AI for Code and Workflow Optimization | 15% | - AI-assisted code generation and improvement - Integration of AI tools in development processes - Automation and workflow enhancement |
| Topic 5: Agentic AI | 15% | - Model Context Protocol (MCP) framework - Agent design principles and capabilities - Agentic AI vs Generative AI use cases - Human-in-the-loop strategies |
| Topic 6: AI Ethics and Security | 20% | - Compliance and governance frameworks - Data privacy and security in AI systems - Responsible AI principles - AI-specific threats, risks and misinformation |
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NEW QUESTION # 30
Which role does AI play in assisting with the refactoring of software code?
Answer: A
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 # 31
What is the role of an MCP server in the MCP open standard?
Answer: D
Explanation:
An MCP server exposes external tools, data sources, and resources through a standardized interface so an AI model or agent can access capabilities beyond its built-in training data.
NEW QUESTION # 32
Which AI model type is best suited for image recognition tasks?
Answer: A
Explanation:
CNNs are optimized for image and visual pattern recognition.
NEW QUESTION # 33
A team uses AI to scaffold a new microservice. What does this process involve?
Answer: C
Explanation:
Scaffolding uses AI to generate the initial project structure, boilerplate files, configuration, and basic code layout so the team can start development faster.
NEW QUESTION # 34
A user includes project background information and the specific technical constraints in a prompt.
Which principle of prompt engineering is being applied?
Answer: D
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 # 35
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