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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Agentic AI | 15% | - Model Context Protocol (MCP) framework - Human-in-the-loop strategies - Agent design principles and capabilities - Agentic AI vs Generative AI use cases |
| Topic 2: Data Research and Analysis | 15% | - Data quality, bias and validation - Data visualization and insight generation - Data collection, preparation and preprocessing |
| Topic 3: AI for Code and Workflow Optimization | 15% | - Automation and workflow enhancement - AI-assisted code generation and improvement - Integration of AI tools in development processes |
| Topic 4: AI Ethics and Security | 20% | - Data privacy and security in AI systems - AI-specific threats, risks and misinformation - Compliance and governance frameworks - Responsible AI principles |
| Topic 5: Prompt Engineering | 15% | - Defensive prompting and error mitigation - Prompt design principles and best practices - Advanced prompting techniques |
| Topic 6: Generative AI Models | 20% | - Model selection and evaluation in AI hubs - Context windows, token limits and response management - Generative AI model families and use cases - Model hosting options and trade-offs |
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NEW QUESTION # 21
What is a purpose of providing a JSON schema when configuring tool use for an AI agent?
Answer: A
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 # 22
Which risk occurs when an AI model provides an outdated technical specification because it was trained before the new standard was released?
Answer: C
Explanation:
Knowledge cut-off occurs when a model lacks information about events, standards, or specifications released after its training data period, causing it to provide outdated information.
NEW QUESTION # 23
What is the purpose of a vector database in a RAG architecture?
Answer: D
Explanation:
A vector database stores embeddings, which are numerical representations of data, so a RAG system can retrieve semantically relevant information for grounding the model's response.
NEW QUESTION # 24
Why is defining a persona considered a best practice for technical prompt engineering?
Answer: A
Explanation:
Defining a persona guides the AI to respond with the appropriate role-based tone, vocabulary, level of technical depth, and communication style for the intended audience.
NEW QUESTION # 25
An organization has regulatory requirements that prohibit any proprietary source code from leaving the internal network. Which hosting strategy provides the highest level of data sovereignty?
Answer: B
Explanation:
Local LLM deployment on internal hardware keeps proprietary source code within the organization's internal network, providing the strongest control over data location, access, and governance.
NEW QUESTION # 26
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