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AIQ #40: Vibe Coding
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Which framework aligns well with Vibe Coding principles?
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AIQ #39: Vibe Coding
What differentiates Vibe Coding from general front-end development?
AIQ #38: Vibe Coding
In Vibe Coding, ‘delightful interaction’ usually means:
AIQ #37: Vibe Coding
Vibe Coding often incorporates:
AIQ #36: Vibe Coding
What is an important aspect of Vibe Coding?
AIQ #35: Agent
Cross-channel orchestration in MCP refers to:
AIQ #34: Agent
MCP platforms often integrate with which technologies?
AIQ #33: Agent
What data drives personalization in MCP strategies?
AIQ #32: Agent
What is a key KPI for measuring MCP success?
AIQ #31: Agent
Which of these reflects MCP in a retail environment?
AIQ #30: Agent
What ensures factual accuracy in a RAG response?
AIQ #29: Agent
Which architecture typically supports retrieval in a RAG system?
AIQ #28: Agent
What’s one challenge of integrating RAG in production systems?
AIQ #27: Agent
Why does RAG outperform standard prompting for niche knowledge tasks?
AIQ #26: Agent
In RAG pipelines, what’s the typical role of embeddings?
AIQ #25: Agent
An autonomous agent with self-healing capabilities would likely use:
AIQ #24: Agent
What is a limitation of reactive agents?
AIQ #23: Agent
Multi-agent collaboration challenges often include:
AIQ #22: Agent
Which component is essential in a deliberative agent?
AIQ #21: Agent
What makes a reflex-based AI agent unique?
AIQ #20: Tools
What is a key risk in AI-driven automation?
AIQ #19: Tools
An example of event-driven automation would be:
AIQ #18: Tools
Which type of automation is best for handling unstructured data?
AIQ #17: Tools
What distinguishes hyperautomation from traditional automation?
AIQ #15: Tools
What is the use of OpenAI’s ‘function calling’ feature?
AIQ #14: Tools
Why is Hugging Face Transformers library widely adopted?
AIQ #13: Tools
Which of the following tools specializes in UI-based automation?
AIQ #12: Tools
In AI tooling, what role does a vector database play?
AIQ #11: Tools
Which feature distinguishes LangChain from basic LLM interfaces?
AIQ #10: Prompt Engineering
Which of the following improves prompt robustness?
AI #9: Factual Data
What helps most in grounding a model’s output to factual data?
AI #8: Prompting
Prompt leakage typically refers to:
AI #7: AI Prompting
What's the downside of overly long prompts in LLMs ?
AI #6: AI Prompting
Zero-shot prompting is best suited when
AI #5: AI Learning
Which of the following is NOT a type of learning in AI?
AIQ #2: Traditional rule-based
Which of these is a limitation of traditional rule-based systems?
AIQ #4: AI models
Bias in AI models typically arises due to?
AIQ #3: Machine Learning
Which mathematical concept is foundational to machine learning?
AIQ #1: 'Strong AI'
Which of the following best describes 'strong AI'?
QOW #3: Mid Sprint
In an Agile environment, what is the most effective way to handle an unexpected technical dependency discovered mid-sprint?
QOW #2: Kanban-WIP Limits
In Kanban, what is the purpose of "WIP limits" (Work in Progress)?
QOW #1: Technical UserStory
Case Study: Analysing a team backlog, coach finds that user stories are technical. What should a coach do?
