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You are identifying signals that a deployment should re-enter design rather than continue iterating in place.
Which signal most directly indicates the need for a new design cycle?

• A. A runbook step requires a clarification edit to improve on-c all guidance accuracy, which can be handled as a documentation update without changes to component responsibilities or core contracts.
• B. The system's current architecture cannot meet the new requirements without changes to component responsibilities or core contracts.
• C. A dashboard alert threshold needs a small numerical adjustment to reduce false-positive noise, which can be handled as an operational configuration change without a new design cycle.
• D. A minor copy edit is requested in a customer-facing string within the existing UI, which can be handled as a localized content change without altering component responsibilities or contracts.

You are building an ethics review checklist for deployments supported by artificial intelligence (AI). Which two checks belong on the list? (Select two.) Each correct answer presents a complete solution.

• A. Confirm that vendor licensing terms permit the planned production use of the model.
• B. Verify that outputs do not rely on generalizations about people that the underlying data does not support.
• C. Restrict the ethics review to outputs that exceed a defined model-confidence threshold.
• D. Confirm that high-impact decisions retain human accountability rather than being attributed to the model.
• E. Confirm that latency and throughput targets are met across the supported user populations.

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

You are integrating Claude Code into a workflow that runs against a production database.
Which guardrail design most directly preserves safety on data-modifying operations?

• A. Configure the database MCP server with a read-only credential by default, restrict the subagent's tool list to read-only operations, and require explicit human confirmation on any operation that would modify data.
• B. Allow Claude Code to write directly to the production database without subagent scoping, read-only credential defaults, or human confirmation gates on data-modifying operations.
• C. Disable all logging and auditing on database operations through the MCP server to reduce alert noise, removing the observability needed to detect unintended data modifications.
• D. Configure the database MCP server with a fully privileged credential that can perform any read or write operation, and allow all operations to proceed without explicit human confirmation.

You are identifying the highest-impact optimization for a deployment whose token cost is dominated by a long, repeated system prompt and a large retrieved context per request.
Which optimization most directly targets the dominant cost driver?

• A. Add additional repeated content to the system prompt to give the model more guidance.
• B. Increase retrieval depth on every request to maximize recall, worsening the dominant cost driver by adding more retrieved tokens per request rather than reducing them.
• C. Move the long, repeated system prompt into a cacheable prefix and trim retrieved context to the spans relevant to each query.
• D. Switch every request to the heaviest available model to maximize output quality, accepting that higher per-request inference cost compounds rather than addresses the dominant cost driver.