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  1. Home
  2. Anthropic Certification
  3. CCA-F Exam
  4. Anthropic.CCA-F.v2026-10-10.q100 Dumps
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Question 1

During a multi-agent synthesis phase, the coordinator receives conflicting financial statistics from a web search subagent and a document analysis subagent. What is the required architectural pattern for handling this conflict?

Correct Answer: C
When subagents provide conflicting data, the system must track information provenance (source, confidence level, timestamp) through claim-source mappings. This metadata enables informed conflict resolution and audit trails. Arbitrary selection or averaging without tracking provenance are anti-patterns.
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Question 2

When designing escalation patterns for an autonomous customer support agent, which of the following represent architectural anti- patterns that should be avoided? Choose 2 correct answers.

Correct Answer: A,C
Using self-reported model confidence scores and customer sentiment are heavily tested anti-patterns. Model confidence is poorly calibrated for routing, and sentiment does not correlate with task complexity. Explicit human requests and policy gaps are valid escalation triggers.
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Question 3

An application frequently repeats the same background instructions in every API request. What is a potential downside?

Correct Answer: B
Repeated instructions consume additional input tokens on every request, increasing cost and latency. Consolidating stable guidance into reusable prompt templates can improve efficiency while preserving consistent model behavior.
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Question 4

You are building a multi-agent research system using the Claude Agent SDK. A coordinator agent delegates to specialized subagents: one searches the web, one analyzes documents, one synthesizes findings, and one generates reports. The system researches topics and produces comprehensive, cited reports.
When researching "renewable energy adoption," the web search agent returns recent statistics (2024: 35% adoption) while the document analysis agent extracts data from internal reports (2021: 18% adoption). The synthesis agent incorrectly flags these as contradictory sources rather than recognizing the data shows growth over time. What change would best enable the synthesis agent to correctly interpret such temporal differences?

Correct Answer: C
Temporal metadata lets the synthesis agent distinguish measurements from different time periods and interpret 18% in 2021 and 35% in 2024 as a trend rather than a contradiction.
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Question 5

When providing Claude with a 50-page document, you notice it accurately recalls details from the first and last pages but misses a critical instruction buried on page 25. What is this phenomenon called?

Correct Answer: A
The "lost in the middle" effect describes how models reliably process information at the beginning and end of long inputs but may omit findings or instructions buried in middle sections.
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