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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: AI Ethics and Security | 20% | - AI-specific threats, risks and misinformation - Responsible AI principles - Data privacy and security in AI systems - Compliance and governance frameworks |
| Topic 2: Generative AI Models | 20% | - Context windows, token limits and response management - Model selection and evaluation in AI hubs - Model hosting options and trade-offs - Generative AI model families and use cases |
| Topic 3: Prompt Engineering | 15% | - Defensive prompting and error mitigation - Prompt design principles and best practices - Advanced prompting techniques |
| Topic 4: 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 5: Agentic AI | 15% | - Agent design principles and capabilities - Human-in-the-loop strategies - Agentic AI vs Generative AI use cases - Model Context Protocol (MCP) framework |
| Topic 6: Data Research and Analysis | 15% | - Data visualization and insight generation - Data collection, preparation and preprocessing - Data quality, bias and validation |
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NEW QUESTION # 32
Which activity is an agentic AI use case compared to a standard generative AI use case?
Answer: D
Explanation:
Agentic AI can plan and execute multi-step actions toward a goal, such as diagnosing a failed build, applying a fix, running validation, and iterating until the build succeeds.
NEW QUESTION # 33
Which approach protects PII when utilizing a public AI service for data analysis?
Answer: B
Explanation:
Anonymizing or redacting sensitive personal information before sending data to a public AI service prevents PII from being exposed outside the organization's controlled environment.
NEW QUESTION # 34
What is a corporate data privacy risk when using a public AI chatbot?
Answer: C
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 # 35
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 # 36
Which Cisco AI capability helps detect abnormal network behavior?
Answer: A
Explanation:
AI systems can identify unusual patterns and potential threats automatically.
NEW QUESTION # 37
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