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| Section | Weight | Objectives |
|---|---|---|
| AI for Code and Workflow Optimization | 15% | - Automation and workflow enhancement - AI-assisted code generation and improvement - Integration of AI tools in development processes |
| Generative AI Models | 20% | - Model hosting options and trade-offs - Context windows, token limits and response management - Generative AI model families and use cases - Model selection and evaluation in AI hubs |
| Data Research and Analysis | 15% | - Data visualization and insight generation - Data quality, bias and validation - Data collection, preparation and preprocessing |
| Agentic AI | 15% | - Human-in-the-loop strategies - Agent design principles and capabilities - Model Context Protocol (MCP) framework - Agentic AI vs Generative AI use cases |
| AI Ethics and Security | 20% | - AI-specific threats, risks and misinformation - Data privacy and security in AI systems - Responsible AI principles - Compliance and governance frameworks |
| Prompt Engineering | 15% | - Prompt design principles and best practices - Advanced prompting techniques - Defensive prompting and error mitigation |
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NEW QUESTION # 30
What is the role of embeddings in AI systems?
Answer: A
Explanation:
Embeddings convert text or objects into vectors that capture semantic meaning.
NEW QUESTION # 31
What is a purpose of providing a JSON schema when configuring tool use for an AI agent?
Answer: C
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 # 32
Why is a Human-in-the-Loop workflow essential when an AI agent has write access to a production database?
Answer: B
Explanation:
A Human-in-the-Loop workflow adds human approval before the agent performs high-risk write operations, helping prevent accidental, incorrect, or harmful changes to production data.
NEW QUESTION # 33
Which Cisco AI capability helps detect abnormal network behavior?
Answer: B
Explanation:
AI systems can identify unusual patterns and potential threats automatically.
NEW QUESTION # 34
Which risk occurs when an AI model provides an outdated technical specification because it was trained before the new standard was released?
Answer: B
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 # 35
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