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Anthropic Claude Certified Architect Foundations (CCA-F) Sample Questions:

1. When implementing a hub-and-spoke multi-agent architecture using the Claude Agent SDK, which of the following statements about subagent spawning and execution are correct? Choose 2 correct answers.

A) The coordinator agent must have Task included in its allowedTools configuration to spawn subagents.
B) A single coordinator response cannot emit multiple Task tool calls; subagents must be spawned sequentially across separate turns.
C) Subagents automatically inherit the full conversation history of the coordinator agent by default.
D) Parallel execution is achieved when the coordinator agent emits multiple Task tool calls in a single response.

2. When generating complex mock data setups for integration tests, natural language descriptions often produce inconsistent structural results from Claude. What is the most effective technique to fix this?

A) Ask Claude to evaluate its own test generation output before returning it.
B) Use the /compact command before requesting the test generation.
C) Provide 2-3 concrete input/output examples demonstrating the exact expected transformation.
D) Increase the max_tokens parameter to give the model more space to reason.

3. When designing an autonomous customer support agent, you must explicitly program the conditions under which it stops attempting to solve the problem and escalates to a human. Which of the following are valid, objective escalation triggers? Choose 2 correct answers.

A) The customer expresses high frustration and uses negative sentiment words.
B) The agent assesses its own confidence level to be below 0.6 out of 1.0.
C) The customer explicitly demands to speak with a human representative.
D) The agent detects a policy gap where no existing rule covers the customer's specific situation.

4. When two subagents at quicktechie.com provide conflicting statistical data from different credible sources during a synthesis task, what is the architecturally correct pattern for handling this uncertainty?

A) Drop the contested data point entirely to ensure the final report only contains unified facts.
B) Arbitrarily select the value from the most recently updated source to resolve the conflict smoothly.
C) Preserve both values and explicitly annotate the conflict with source attribution, letting the coordinator or user reconcile it.
D) Silently average the conflicting numerical values to provide a balanced estimate to the user.

5. In an automated CI/CD code review workflow, why is it considered an architectural anti-pattern to have the same Claude session that generated the code also review its own changes?

A) The reviewer retains the reasoning context from the generation phase, creating confirmation bias.
B) The Message Batches API does not support synchronous self-review workflows.
C) Tools invoked in the first pass are permanently locked and cannot be reused in the second pass.
D) It causes the token limit of the context window to exceed maximum capacity.

Solutions: