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Anthropic Claude Certified Architect - Professional Sample Questions:

1. A research summarization assistant has been deployed for six months. A user has flagged that a generated summary contained a fabricated citation. The product team has asked whether the incident requires architectural action or whether it is an isolated case.
Which two Diligence-competency actions should you take? (Select two.)
Each correct answer presents part of the solution.

A) Sample recent summaries to estimate the fabrication frequency across the population.
B) Disable the assistant immediately for all current users without any prior diagnostic analysis.
C) Treat the incident as an anecdotal isolated case and take no further investigative action.
D) Review whether citation-grounding controls exist anywhere in the current generation pipeline.
E) Communicate to users that the assistant does not fabricate output as a matter of design.

2. You are selecting a pattern for a compliance Q & A assistant that must answer policy questions with citations to the authoritative internal source set. Latency, cost, and audit predictability are prioritized.
Which pattern is the best fit?

A) A static prompt with the entire policy corpus concatenated into every request.
B) Multi-agent orchestration with a planner, researcher, and writer agent for every query.
C) A pure agent loop with open web-browsing tools to surface the most current policy information, without constraining retrieval to the authoritative internal corpus.
D) Augmented LLM with retrieval-augmented generation over the indexed authoritative corpus and citation rendering on each answer.

3. You are classifying chunking strategies by the corpus type each is best suited to.
For each chunking strategy, select the appropriate corpus type: "Long Structured Documents,"
"Heterogeneous Short Records," or "Code or Hierarchical Specifications."

4. You are designing a content moderation classifier that processes high volumes of user-generated comments under a tight per-message latency budget using well-defined classification labels.
Which model selection best aligns with the workload?

A) Haiku, because its latency and cost profile align with high-volume classification workloads that require limited reasoning depth.
B) Sonnet, because larger general-purpose models are preferred even when workload latency requirements are strict.
C) Sonnet with extended thinking enabled, because deeper reasoning should be applied to every moderation request to improve edge-case handling.
D) Opus, because every moderation decision requires maximum reasoning depth regardless of classification complexity.

5. A Claude Architect is reviewing a post-deployment performance report for an AI-assisted legal-document summarization system. The report includes these observations:
* Average summarization time decreased from 47 minutes to 6 minutes per document.
* Associates spend less time on summaries, but overall billable output has not measurably changed.
* Infrastructure costs increased by 22% because redundant retry logic generated additional API calls.
* Some summaries require attorney correction, adding an average of 8 minutes of review per document.
Which analysis correctly attributes each observation to the appropriate business-value pillar?

A) Observations 1 and 2 both indicate efficiency gains; Observation 3 is a solution-cost issue; Observation
4 is a performance-SLA issue.
B) Observation 1 indicates an efficiency gain; Observation 2 shows that productivity has not yet been realized; Observation 3 is a solution-cost issue; Observation 4 is an efficiency loss that partially offsets Observation 1.
C) Observation 1 is a transformation outcome; Observation 2 is an efficiency gain; Observation 3 is a performance-SLA degradation; Observation 4 is a solution-cost issue.
D) Observations 1 and 4 together indicate a net performance-SLA improvement; Observation 2 is a transformation gap; Observation 3 is a productivity drain from over-engineering.

Solutions: