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

1. To measure ongoing error rates in high-confidence extractions and detect novel error patterns, which methodology should be implemented?

A) Stratified random sampling.
B) Prompt-based sequential pipelining.
C) Exhaustive 100% human review.
D) Aggregate accuracy averaging.

2. Why is configuring the exact same Claude session to review its newly generated pull request code considered an architectural anti-pattern?

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

3. Which of the following patterns represent best practices for implementing handoffs and enforcement in multi-step workflows? Choose 2 correct answers.

A) Implementing programmatic prerequisites that explicitly block downstream tool calls until required verification steps are completed.
B) process _ refund.
C) Compiling structured handoff summaries containing root causes and recommended actions when escalating to human agents.
D) Using prompt-based instructions to guarantee that a lookup_order tool is always called before
E) Relying on the agent's self-reported confidence score to trigger mid-process escalation decisions.

4. In a hub-and-spoke multi-agent architecture, what is the best practice for passing context from the coordinator agent down to a specialized subagent?

A) Pass only the explicit context, findings, and parameters specifically relevant to that subagent's assigned subtask.
B) Share the entire coordinator conversation history to ensure the subagent has maximum context visibility.
C) Grant the subagent access to a shared global state object where the coordinator writes its findings.
D) Rely on automatic context inheritance, as subagents inherently share the coordinator's memory.

5. A coordinator agent needs to delegate a broad research topic. How can the coordinator efficiently spawn multiple parallel subagents instead of executing them sequentially?

A) By using the fork_session command for each subagent in separate turns.
B) By invoking the parallel_execute method provided natively in the Agent SDK.
C) By emitting multiple Task tool calls within a single response turn.
D) By defining a PostToolUse hook that duplicates the prompt to multiple endpoints.

Solutions: