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| Section | Weight | Objectives |
|---|---|---|
| AI for Code and Workflow Optimization | 15% | - Integration of AI tools in development processes - Automation and workflow enhancement - AI-assisted code generation and improvement |
| Generative AI Models | 20% | - Generative AI model families and use cases - Model hosting options and trade-offs - Context windows, token limits and response management - Model selection and evaluation in AI hubs |
| Prompt Engineering | 15% | - Defensive prompting and error mitigation - Prompt design principles and best practices - Advanced prompting techniques |
| Data Research and Analysis | 15% | - Data visualization and insight generation - Data quality, bias and validation - Data collection, preparation and preprocessing |
| Agentic AI | 15% | - Model Context Protocol (MCP) framework - Agentic AI vs Generative AI use cases - Agent design principles and capabilities - Human-in-the-loop strategies |
| AI Ethics and Security | 20% | - Compliance and governance frameworks - AI-specific threats, risks and misinformation - Responsible AI principles - Data privacy and security in AI systems |
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NEW QUESTION # 15
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 # 16
Which generative AI model family should be used for identifying and summarizing technical themes across thousands of unstructured network incident reports?
Answer: A
Explanation:
Large language models are designed to process and generate natural language, making them suitable for identifying recurring technical themes and summarizing large volumes of unstructured incident reports.
NEW QUESTION # 17
A user includes project background information and the specific technical constraints in a prompt.
Which principle of prompt engineering is being applied?
Answer: B
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 # 18
What is occurring when an agent converts a CSV list into a Markdown table for a final report?
Answer: D
Explanation:
Data transformation changes data from one format or structure into another, such as converting CSV rows into a Markdown table for reporting.
NEW QUESTION # 19
Which AI model type is best suited for image recognition tasks?
Answer: B
Explanation:
CNNs are optimized for image and visual pattern recognition.
NEW QUESTION # 20
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