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Choose the best response for each question.
An AI workflow involves multiple stages that must happen in a strict order. Each stage's output is needed for the next stage. The process is like a pipeline - for example, first selecting a template, then customizing content, then checking compliance, and finally performing a risk assessment. The stages have clear linear dependencies and you want a deterministic sequence of agents handling each step. Which orchestration pattern is best suited for this scenario?
Sequential orchestration.
Concurrent orchestration.
Group chat orchestration.
Handoff orchestration.
Magentic orchestration.
An AI system must analyze the same input from multiple perspectives at the same time to provide a comprehensive result quickly. For example, given a single stock ticker, one agent evaluates financial fundamentals, another analyzes technical chart patterns, a third gauges news sentiment, and a fourth checks ESG factors. All checks should occur simultaneously, and their findings will later be combined into one report. Which orchestration pattern is best suited for this scenario?
An AI system is tasked with evaluating a complex proposal by weighing different considerations. It employs several specialist AI agents: One focusing on community impact, another on environmental factors, and another on budget feasibility. These agents need to interact with each other's ideas in real-time, challenging, and refining the proposal through discussion. A central chat manager coordinates their turns and keeps the conversation on track. Which orchestration pattern does this scenario exemplify?
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