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| Section | Weight | Objectives |
|---|---|---|
| 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 |
| AI for Code and Workflow Optimization | 15% | - AI-assisted code generation and improvement - Automation and workflow enhancement - Integration of AI tools in development processes |
| Data Research and Analysis | 15% | - Data visualization and insight generation - Data collection, preparation and preprocessing - Data quality, bias and validation |
| Prompt Engineering | 15% | - Advanced prompting techniques - Defensive prompting and error mitigation - Prompt design principles and best practices |
| 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 |
| AI Ethics and Security | 20% | - AI-specific threats, risks and misinformation - Responsible AI principles - Compliance and governance frameworks - Data privacy and security in AI systems |
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NEW QUESTION # 27
What is a corporate data privacy risk when using a public AI chatbot?
Answer: D
Explanation:
A public AI chatbot may retain submitted corporate data or use it to improve model training, which can expose confidential, proprietary, or regulated information outside the organization's control.
NEW QUESTION # 28
What is a purpose of providing a JSON schema when configuring tool use for an AI agent?
Answer: D
Explanation:
A JSON schema defines the structure, required fields, and data types for tool calls, helping the agent provide valid inputs or outputs that the external tool can process reliably.
NEW QUESTION # 29
Which software development lifecycle phase utilizes AI to analyze stakeholder documentation for logical inconsistencies and to draft structured user stories?
Answer: B
Explanation:
In the requirements phase, AI can analyze stakeholder documentation to identify logical gaps or inconsistencies and help convert business needs into structured user stories.
NEW QUESTION # 30
Which strategy should be used to mitigate hallucinations when asking an AI to summarize a specific technical document?
Answer: C
Explanation:
Requesting citations grounds the summary in the provided technical document and makes the model support its claims with specific source references, reducing the chance of unsupported or fabricated content.
NEW QUESTION # 31
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 # 32
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