Multi-Agent Orchestration: Practice Questions — Agentic Architecture & Orchestration (Claude Certified Architect)
Practice Questions: Multi-Agent Orchestration for Claude Certified Architect - Foundation These exam-style multiple-choice questions focus on key...
Practice Questions: Multi-Agent Orchestration for Claude Certified Architect - Foundation
These exam-style multiple-choice questions focus on key concepts in designing and orchestrating multi-agent systems using the Claude Agent SDK, emphasizing coordinator-subagent patterns, context management, task decomposition, and session state handling.
In a multi-agent system using the Claude Agent SDK, what is the primary role of the coordinator agent?
- A. Execute all tasks independently without delegation
- B. Manage subagent spawning, context passing, and orchestrate task decomposition
- C. Only handle user input and ignore subagent outputs
- D. Replace subagents when they fail without context sharing
Correct Answer: B
Explanation: The coordinator agent orchestrates the system by spawning subagents, passing context between them, and managing task decomposition to ensure autonomous execution of complex workflows.
Which of the following best describes the purpose of SDK hooks for tool call interception in multi-agent orchestration?
- A. To prevent agents from communicating with each other
- B. To programmatically monitor and modify tool interactions during workflow execution
- C. To disable subagent spawning
- D. To automatically terminate sessions after a fixed time
Correct Answer: B
Explanation: SDK hooks enable interception of tool calls, allowing developers to monitor, modify, or enforce rules on interactions between agents and external tools within multi-step workflows.
When designing multi-step workflows with programmatic enforcement, what is a key benefit of task decomposition strategies?
- A. They eliminate the need for context passing
- B. They simplify complex tasks into manageable sub-tasks for parallel or sequential execution
- C. They ensure all tasks run on a single agent to avoid overhead
- D. They prevent resumption of interrupted sessions
Correct Answer: B
Explanation: Task decomposition breaks down complex tasks into smaller sub-tasks, enabling efficient management, parallelism, and clearer orchestration by the coordinator and subagents.
In the context of session state management within multi-agent orchestration, what does 'forking' a session typically allow?
- A. Terminating all subagents immediately
- B. Creating a new session branch to explore alternative task execution paths without losing prior context
- C. Disabling context passing between agents
- D. Automatically merging all subagent outputs into a single response
Correct Answer: B
Explanation: Forking a session creates a parallel branch that preserves existing context, allowing experimentation with different approaches or recovery strategies without losing progress.
What is the recommended approach for managing context passing between subagents in a coordinator-subagent system?
- A. Pass only the initial user prompt to all subagents
- B. Pass relevant, updated context dynamically to each subagent to maintain task continuity
- C. Avoid context passing to reduce complexity
- D. Use static context that never changes during the session
Correct Answer: B
Explanation: Dynamic context passing ensures each subagent receives the necessary information to perform its task effectively, maintaining coherence and enabling autonomous task execution.
Which scenario best illustrates the use of multi-agent orchestration with programmatic enforcement in the Claude Agent SDK?
- A. A single agent answering isolated questions without subagents
- B. A coordinator spawning subagents to handle research, summarization, and fact-checking steps with enforced execution order
- C. Agents working independently without any coordination or context sharing
- D. Manual intervention required at every step to pass data between agents
Correct Answer: B
Explanation: Multi-agent orchestration involves a coordinator managing subagents assigned to specific subtasks, with programmatic enforcement ensuring correct sequencing and data flow.
How does session resumption improve multi-agent orchestration workflows?
- A. It restarts the entire workflow from scratch
- B. It allows continuation of workflows after interruptions by restoring prior state and context
- C. It disables subagent spawning
- D. It merges all subagent outputs into a single static document
Correct Answer: B
Explanation: Session resumption restores saved state and context, enabling workflows to continue seamlessly after interruptions, which is critical for long-running or complex multi-agent tasks.
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