You are reviewing a peer's end-to-end design for a Claude-based platform expected to scale to thousands of concurrent users.
For each statement, indicate Yes if it reflects sound architectural practice. Otherwise, select No.

You are identifying inefficiency in a Claude Code workflow where each engineer manually re-explains the project ' s conventions and architecture in every session.
Which adjustment most directly removes this inefficiency?

• A. Remove all documented project conventions and architectural standards so engineers have nothing to re- explain at session start, accepting the loss of consistency and shared coding standards.
• B. Tell each engineer to retype the project conventions and architecture context more quickly at the start of each session, reducing time lost without eliminating the repeated manual effort.
• C. Capture the project ' s conventions and architecture in a project-scoped CLAUDE.md (or equivalent persistent project-context file) committed to the repository, so each session loads it automatically.
• D. Forbid the use of Claude Code on the project entirely to avoid the session-initialization overhead, accepting that the team loses all AI-assisted development productivity for this codebase.

You are responding to an adversarial input pattern in which users include text claiming admin authority and instructing the model to bypass safety restrictions.
Which combination of controls most effectively mitigates this attack pattern?

• A. Prompt-level instructions that treat user content as untrusted data, runtime classifiers that detect override attempts, scoped tool permissions that cannot be elevated by user content, and audit logging of attempts.
• B. Removing all safety restrictions and guardrails to eliminate the attack surface that bypass attempts target, accepting that this makes the assistant unrestricted for all inputs.
• C. Trusting that the model will intrinsically recognize and reject all bypass attempts without prompt-level instructions, runtime classifiers, scoped permissions, or audit logging.
• D. Granting users any privilege level they assert in their message content, on the assumption that cooperative behavior requires honoring self-declared authority without independent verification.

You are preparing a HIPAA-eligible deployment for a healthcare customer.
Which configuration supports HIPAA compliance using Anthropic-offered tools?

• A. An ad-hoc personal Claude account used by individual clinicians for PHI-related tasks, with no Business Associate Agreement, no Zero Data Retention, and no audit logging configured.
• B. Disabling all audit logging so that no PHI is recorded in any log store, on the assumption that the absence of logs satisfies HIPAA requirements without a signed BAA.
• C. Claude Enterprise with a signed Business Associate Agreement, Zero Data Retention enabled, and audit logging configured for compliance tracking.
• D. Claude Free with no contractual addendum, since consumer products meet HIPAA requirements out of the box.

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. Sonnet, because larger general-purpose models are preferred even when workload latency requirements are strict.
• C. Opus, because every moderation decision requires maximum reasoning depth regardless of classification complexity.
• D. Haiku, because its latency and cost profile align with high-volume classification workloads that require limited reasoning depth.