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Anthropic Claude Certified Architect - Professional Sample Questions:

1. You are reviewing instrumentation in a multi-agent system.
Which two findings constitute valid observability gaps in the instrumentation? (Select two.) Each correct answer presents a complete solution.

A) Model identity and version on each turn are not recorded with the turn artifacts.
B) Tool-call payloads and outcomes are recorded with redaction applied to known sensitive fields.
C) Request-scoped correlation identifiers do not propagate across agent and tool calls.
D) Trace spans for each agent step are exported to the shared distributed-tracing backend.
E) Latency and token usage on every span are emitted to the central metrics pipeline.

2. The compliance team has authored a regulatory disclosure procedure that must be applied identically across customer service, sales, and onboarding workflows. The procedure changes when regulators issue updates, currently four to six times per year. You are designing how the procedure will be packaged for use by Claude across all three workflows.
Which two design decisions should you include? (Select two.)
Each correct answer presents part of the solution.

A) Package the procedure as a Claude Skill owned directly by the compliance team.
B) Reference the same Claude Skill from all three workflow integrations.
C) Store the procedure in a shared retrieval corpus accessed by all three workflows.
D) Have each workflow team rewrite the procedure for its own context.
E) Embed the procedure text into each workflow's system prompt at integration time.

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

4. 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 4 together indicate a net performance-SLA improvement; Observation 2 is a transformation gap; Observation 3 is a productivity drain from over-engineering.
B) Observations 1 and 2 both indicate efficiency gains; Observation 3 is a solution-cost issue; Observation
4 is a performance-SLA issue.
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) 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.

5. You are a solution architect evaluating candidate use cases for a Claude-based program.
For each scenario, select Yes if Claude is appropriate as the primary solution at the architectural level.
Otherwise, select No.

Solutions: