Anthropic CCA-F - Claude Certified Architect - Foundations Exam
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Total 46 questions
Question #6 (Topic: Exam A)
The synthesis agent completes its initial pass but flags that three key research questions remain unanswered because the web search and document analysis agents didn’t find relevant information on those specific subtopics. The coordinator currently proceeds directly to report generation, producing reports with incomplete coverage. What change would most effectively improve research completeness?
A. Have the report generation agent note which research questions couldn’t be answered, so users understand the limitations of the final output.
B. Increase the initial breadth of queries sent to web search and document analysis to reduce the probability of missing relevant information.
C. Have the coordinator evaluate synthesis output for gaps, then re-delegate to web search and document analysis with targeted queries before invoking synthesis again.
D. Give the synthesis agent direct access to web search tools so it can autonomously fill knowledge gaps without returning control to the coordinator.
Answer: C
Question #7 (Topic: Exam A)
The web search agent has gathered several relevant sources for a research topic. The document analysis agent now needs to examine these sources. How does information typically flow between these two specialized subagents?
A. The agents communicate through an event-driven message queue, with the document analysis agent subscribing to web search completion events.
B. The web search agent directly invokes the document analysis agent, passing the discovered sources as parameters.
C. The coordinator agent receives the web search agent’s output and includes relevant findings in the prompt when invoking the document analysis agent.
D. Both agents access a shared memory store where the web search agent writes findings and the document analysis agent reads them.
Answer: C
Question #8 (Topic: Exam A)
Production reviews reveal inconsistent handling of uncertainty in final reports. Sometimes conflicting subagent findings are synthesized into a single confident statement (losing nuance), while other times reports over-hedge with excessive qualifications (becoming unhelpful). When the web search agent returns “industry analysts estimate $50B market size (methodology varies)” and the document analysis agent returns “peer-reviewed study estimates $35B (±$7B, 95% CI),” the coordinator either picks one arbitrarily or produces vague statements like “the market may be $35B-$50B depending on factors.” What systematic approach best addresses this?
A. Configure subagents to only report findings meeting a high-confidence threshold, filtering uncertain information before it reaches the coordinator.
B. Add a verification subagent that cross-references findings across sources, only passing claims to synthesis that are corroborated by at least two independent sources.
C. Instruct the synthesis agent to structure reports with explicit sections distinguishing well-established findings from contested ones, preserving original source characterizations and methodological context.
D. Implement a confidence calibration layer that normalizes subagent uncertainty expressions to standardized probability scores (0.0-1.0), then weight-average findings by their calibrated confidence.
Answer: C
Question #9 (Topic: Exam A)
In production, final reports frequently contain claims without proper source attribution. Investigation shows that while the web search and document analysis agents correctly attach citations to their outputs, the synthesis agent loses track of which sources support which conclusions when combining findings. What’s the most effective architectural change?
A. Require all subagents to output structured claim-source mappings that the synthesis agent must preserve and merge when combining findings from multiple sources.
B. Maintain complete transcripts of all subagent interactions and add a citation-resolution agent to analyze logs and determine attributions before report generation.
C. Add a verification step where the report generator uses semantic similarity matching against original sources to reconstruct which claims came from which documents.
D. Have the coordinator inject source identifier prefixes into text before each handoff, then parse these prefixes at report generation to reconstruct citations.
Answer: A
Question #10 (Topic: Exam A)
After the web search agent and document analysis agent complete their tasks, the coordinator invokes the synthesis agent. However, the synthesis agent responds that it cannot complete the task because no research findings were provided. What is the most likely cause of this issue?
A. The subagents need to share a single API connection to enable automatic context sharing between invocations.
B. The synthesis agent needs tools that can fetch results directly from the other agents’ conversation histories.
C. The coordinator did not include the outputs from the previous agents in the synthesis agent’s prompt.
D. The synthesis agent’s context window is not large enough to hold the combined outputs from both previous agents.
Answer: C
